Scott M. Graffius Speaking on Strategic Leadership at Silicon Valley Chapter of the Project Management Institute

09 August 2026

BY SCOTT M. GRAFFIUS | ScottGraffius.com

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Recommended Citation

Graffius, S. M. (2026, August 9). Scott M. Graffius Speaking on Strategic Leadership at Silicon Valley Chapter of the Project Management Institute. ScottGraffius.com. https://scottgraffius.com/blog/files/scott-m-graffius-speaking-at-pmi-silicon-valley.html

About This Article

Source information and links for materials cited are provided in the References section.

Introduction

Scott M. Graffius is a technology leader, researcher, award-winning author, and international speaker specializing in advanced AI, teamwork tradecraft, and organizational agility (inclusive of PPPM and PMO leadership). He has led initiatives that have generated more than $2.51 billion in business value for Fortune 500 companies and other organizations worldwide. His work—including research on human teams and human-AI teams and the half-life of engagement on social media, among other areas—is widely adopted, frequently cited, and recognized for its practical impact.

Graffius will deliver a talk on strategic alignment, “10 Ways to Score and Prioritize Project Proposals Based on Multiple Factors, Including Strategic Alignment,” at an event of the Silicon Valley Chapter of the Project Management Institute.

The session is for those involved in or interested in project management, program management, portfolio management, PMO leadership, or organizational agility.

It will span all three areas of the Project Management Institute Talent Triangle: Business Acumen (formerly Strategic and Business Management), Power Skills (formerly Leadership), and Ways of Working (formerly Technical Project Management), with Business Acumen as the primary focus.

The session will be held on Wednesday, 7 October 2026, from 6:00-8:00 p.m. Pacific Time. Everyone (PMI Silicon Valley Chapter members as well as non-members) is invited. Register here.

About "10 Ways to Score and Prioritize Project Proposals Based on Multiple Factors, Including Strategic Alignment"

How does your organization assess proposals for new projects? Is there a well-defined scoring and prioritization process—based on alignment with the business’ strategic objectives and other key factors—to quickly and easily identify the objective value of each proposal? If the answer is “no,” keep reading. If the answer is “yes,” you’re still likely to find practical information and examples in this talk that you can adapt and adopt to improve the process at your organization.

This session will help you develop and enhance the contributions you make to your organization by being able to:

Understand the benefits of scoring and prioritizing project proposals based on strategic alignment and other key factors.
Identify selection and prioritization criteria appropriate for your unique organization, leveraging the flexible framework and some or all of the 10 factors presented during the talk.
Put the practical, actionable information presented to use. During the session, we will run an example project proposal through the process, step by step. And you will receive a summary “cheat sheet” digital download that you can reference as a guide to help implement or improve this process at your organization.

The presentation draws on the speaker’s first-hand, real-world experience, with his guidance supported by related standards, best practices, and recommendations from the Project Management Institute, MIT, Harvard Business Review, Forbes, and others.

About the Silicon Valley Chapter of the Project Management Institute (PMISV)

Founded in 1997, the Silicon Valley Chapter of the Project Management Institute (PMISV) is a nonprofit professional community serving project management practitioners throughout California’s Silicon Valley. As a local chapter of PMI, PMISV brings together professionals to advance the practice of project management through knowledge sharing, professional development, networking, and community engagement.

PMISV provides a diverse range of programs and opportunities, including educational events, workshops, and professional development initiatives. Its mission is to support the interests and needs of its members by providing leadership and forums for expanding and sharing project management knowledge, skills, and experience.

About the Project Management Institute

The Project Management Institute (PMI) is a global professional association dedicated to advancing project, program, and portfolio management. Founded in 1969, PMI develops professional standards, publications, certifications, and educational resources used by practitioners and organizations worldwide. Its work spans traditional, agile, and emerging approaches to managing projects and delivering value. PMI’s standards and research have helped shape the evolving discipline of project management and its application across industries.

References

The following are select references for this article.

They are not the references for the talk itself. Those references will be provided seperately to session participants.

Graffius, S. M. (n.d.). Scott M. Graffius. https://scottgraffius.com/

Graffius, S. M. (n.d.). Scott M. Graffius: Bio. https://scottgraffius.com/bio.html

Graffius, S. M. (n.d.). Scott M. Graffius [LinkedIn]. https://www.linkedin.com/in/scottgraffius/

Project Management Institute (n.d.). Project Management Institute. https://www.pmi.org/

Silicon Valley Chapter of the Project Management Institute (n.d.). Virtual Meeting - 10 Ways to Score and Prioritize Project Proposals Based on Multiple Factors, Including Strategic Alignment. https://www.pmisv.org/events/calendar/general-events/pm-in-sight-fremont/pm-insights-fremont-virtual-meeting-10-ways-to-score-and-prioritize-project-proposals-based-on-multiple-factors-including-strategic-alignment

Silicon Valley Chapter of the Project Management Institute (n.d.). Welcome to the PMI Silicon Valley Chapter. https://www.pmisv.org/

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About Scott M. Graffius

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Scott M. Graffius is a strategic transformation leader who drives AI, Agile, and broader business and technology initiatives to deliver measurable value across projects, programs, portfolios, and PMOs. He is an expert in the teamwork tradecraft of both human and human-AI teams, including the “exotic team dynamics” that emerge. He is also an authority on the temporal patterns of social media, including the half-life of audience engagement.

He’s a practitioner, researcher, thought leader, award-winning author, and keynote speaker who’s taken the stage at 98 conferences and other events across 25 countries.

He’s delivered over $2.51 billion in value for Fortune 500 companies and other leaders in technology, entertainment, financial services, healthcare, and beyond.

Businesses, professional associations, government agencies, and universities use Graffius and feature his work. Examples include Adobe, Bayer, Boston University, Ford, Gartner, Harvard Medical School, IEEE, Johns Hopkins University, Microsoft, MSN, National Academy of Sciences, Oracle, Pinterest Inc., Project Management Institute, UC San Diego, Verizon, Yale University, and others.

The following sections provide additional information on his experience, contributions, and influence.

Experience

Graffius heads the professional services firm Exceptional PPM and PMO Solutions, along with its subsidiary Exceptional Agility. These consultancies offer strategic and tactical advisory, training, embedded expertise, and consulting services to the public, private, and government sectors. They help organizations enhance their capabilities and results in agile, project management, program management, portfolio management, and PMO leadership, supporting innovation and driving competitive advantage. The consultancies confidently back services with a Delighted Client Guarantee™.

Graffius is a former VP of project management with a publicly traded provider of diverse consumer products and services over the Internet. Before that, he ran and supervised the delivery of projects and programs in public and private organizations with businesses ranging from e-commerce to advanced technology products and services, retail, manufacturing, entertainment, and more.

He has experience with consumer, business, reseller, government, and international markets.

Award-Winning Author

Graffius has authored three books.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change, his second book, was named one of the best Scrum books of all time by BookAuthority.
Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

International Public Speaker

Organizations worldwide engage Graffius to present on tech (including AI), Agile, project management, program management, portfolio management, and PMO leadership. He crafts and delivers unique and compelling talks and workshops. Graffius has conducted 98 sessions across 25 countries. Select examples of events include Agile Trends Gov, BSides (Newcastle Upon Tyne), Conf42 Quantum Computing, DevDays Europe, DevOps Institute, DevOpsDays (Geneva), Frug’Agile, IEEE, Microsoft, Scottish Summit, Scrum Alliance RSG (Nepal), Techstars, and W Love Games International Video Game Development Conference (Helsinki), and more.

With an average rating of 4.81 (on a scale of 1-5), sessions are highly valued.

The speaker engagement request form is here.

Thought Leadership and Influence

Prominent businesses, professional associations, government agencies, and universities have showcased Graffius and his contributions—spanning his books, talks, workshops, and beyond. Select examples include:

Adobe,
American Management Association,
Amsterdam Public Health Research Institute,
Bayer,
BMC Software,
Boston University,
Broadcom,
Cisco,
Coburg University of Applied Sciences and Arts - Germany,
Computer Weekly,
Constructor University - Germany,
Data Governance Success,
Deimos Aerospace,
DevOps Institute,
Dropbox,
EU's European Commission,
Ford Motor Company,
Gartner,
GoDaddy,
Harvard Medical School,
Hasso Plattner Institute - Germany,
IEEE,
Innovation Project Management,
Johns Hopkins University,
Journal of Neurosurgery,
Lam Research (Semiconductors),
Leadership Worthy,
Life Sciences Trainers and Educators Network,
London South Bank University,
Microsoft,
MSN,
NASSCOM,
National Academy of Sciences,
New Zealand Government,
Oracle,
Pinterest Inc.,
Project Management Institute,
Mary Raum (Professor of National Security Affairs, United States Naval War College),
SANS Institute,
SBG Neumark - Germany,
Singapore Institute of Technology,
Torrens University - Australia,
TBS Switzerland,
Tufts University,
UC San Diego,
UK Sports Institute,
University of Galway - Ireland,
US Department of Energy,
US National Park Service,
US Soccer,
US Tennis Association,
Verizon,
Wrike,
Yale University,
and many others.

Graffius has played a key role in the Project Management Institute (PMI) in developing professional standards. He was a member of multiple teams that authored, reviewed, and produced:

The Standard for Artificial Intelligence in Portfolio, Program, and Project Management
Agile Practice Guide – Second Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Eighth Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Sixth Edition
The Standard for Program Management – Fourth Edition
Practice Standard for Work Breakdown Structures – Second Edition
The Practice Standard for Project Estimating – Second Edition

He was also a subject matter expert reviewer of content for the PMI’s Congress. Beyond the PMI, Graffius also served as a member of the review team for two of the Scrum Alliance’s Global Scrum Gatherings.

Acclaimed Authority on Teamwork Tradecraft

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Graffius is a renowned authority on teamwork tradecraft. Informed by the research of Bruce W. Tuckman and Mary Ann C. Jensen, over 150 subsequent studies, and Graffius' first-hand professional experience with, and analysis of, team leadership and performance, Graffius created his "Phases of Team Development" intellectual property as a unique perspective and visual conveying the five phases of team development. First introduced in 2008 and periodically updated, his work provides a diagnostic and strategic guide for navigating team dynamics. It provides actionable insights for leaders across industries to develop high-performance teams. Its adoption by esteemed organizations such as Yale University, IEEE, Cisco, Microsoft, Ford, Oracle, Broadcom, the U.S. National Park Service, and the Journal of Neurosurgery, among others, highlights its utility and value, solidifying its status as an indispensable resource for elevating team performance and driving organizational excellence. In 2026, Graffius added human-AI teamwork—including the "exotic team dynamics" which emerge when advanced AI collaborates as a teammate—to his "Phases of Team Development."

The 2026 edition of Graffius' "Phases of Team Development" intellectual property is here.

Expert on Temporal Dynamics on Social Media Platforms

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Graffius is also an authority on temporal dynamics on social media platforms. His "Lifespan (Half-Life) of Social Media Posts" research—first published in 2018 and updated annually—delivers a precise quantitative analysis of post longevity across digital platforms, utilizing advanced statistical techniques to determine mean half-life with precision. It establishes a solid empirical base, effectively highlighting the ephemeral nature of content within social media ecosystems. Referenced and applied by leading entities—such as Fast Company, GoDaddy, Journal of Hand Surgery (European Volume), Ministère de la Culture (French Ministry of Culture), Pinterest Inc., PNAS, and Telecommunications Policy, among others—his research exemplifies methodological rigor and sustained significance in the field of digital informatics.

The 2026 edition of Graffius "Lifespan (Half-Life) of Social Media Posts" research is here.

Education and Professional Certifications

Graffius has a bachelor’s degree in psychology with a focus in Human Factors. He holds eight professional certifications:

Certified SAFe 6 Agilist (SA),
Certified Scrum Professional - ScrumMaster (CSP-SM),
Certified Scrum Professional - Product Owner (CSP-PO),
Certified ScrumMaster (CSM),
Certified Scrum Product Owner (CSPO),
Project Management Professional (PMP),
Lean Six Sigma Green Belt (LSSGB), and
IT Service Management Foundation (ITIL).

He is an active member of the Scrum Alliance, the Project Management Institute (PMI), and the Institute of Electrical and Electronics Engineers (IEEE).

Advancing AI, Agile, and Project/PMO Management

Scott M. Graffius continues to advance the fields of AI, Agile, and Project/PMO Management through his leadership, research, writing, and real-world impact. Businesses and other organizations leverage Graffius’ insights to drive their success.

Discover Scott’s Books

Connect with and follow Scott on LinkedIn, X, YouTube, Facebook, Threads, Bluesky, Mastodon, and ResearchGate.

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List of Additional Articles

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How to Cite This Article

Graffius, S. M. (2026, August 9). Scott M. Graffius Speaking on Strategic Leadership at Silicon Valley Chapter of the Project Management Institute. ScottGraffius.com. https://scottgraffius.com/blog/files/scott-m-graffius-speaking-at-pmi-silicon-valley.html

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Digital Object Identifier (DOI)

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Content Acknowledgements

Names, marks, and content are the property of their respective owners.

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#ProjectManagement
#StrategicAlignment
#ProjectPrioritization
#ProjectSelection
#PortfolioManagement
#ProgramManagement
#PMO
#OrganizationalAgility
#MultiCriteriaDecisionAnalysis
#StrategicDecisionMaking
#Speaker
#PublicSpeaker
#PublicSpeaking
#ConferenceSpeaker
#PMISpeaker
#CorporateSpeaker

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Post-Publication Notes

If there are any supplements or updates to this article after the date of publication, they will appear here.

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Copyright

Copyright © Scott M. Graffius. All rights reserved.

Content on this site—including text, images, videos, and data—may not be used for training or input into any artificial intelligence, machine learning, or automatized learning systems, or published, broadcast, rewritten, or redistributed without the express written permission of Scott M. Graffius.

Tags: Project Management • Strategic Alignment • Project Prioritization • Project Selection • Silicon Valley • Strategic Decision-Making • Multi-Criteria Decision Analysis (MCDA) • Corporate Speaker • PMI Speaker • Conference Speaker • Public Speaking • Public Speaker • Speaker • Organizational Agility • PMO • Program Management • Portfolio Management

AI Hallucinations, Deception, and Unauthorized Agency: The Spectrum of AI Trust Failures

07 August 2026

BY SCOTT M. GRAFFIUS | ScottGraffius.com

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Recommended Citation

Graffius, S. M. (2026, August 7). AI Hallucinations, Deception, and Unauthorized Agency: The Spectrum of AI Trust Failures. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.33791.57768

About This Article

Source information and links for materials cited are provided in the References section.

Introduction

AI hallucinations are among the most widely discussed challenges in the era of generative AI. They occur when an AI system generates information that is false, fabricated, or unsupported, often presenting it with confidence. These failures have received significant attention because they can mislead users, undermine decision-making, erode trust in AI systems, and create other issues. Research underscores the scope of the problem. In 2025, AI hallucinations occurred in 0.7–1.5% of non-complex tasks and exceeded 33% in complex reasoning cases.

For many organizations, reducing hallucinations has become a central part of responsible AI adoption. Organizations have invested in retrieval-augmented generation, verification approaches, human oversight, and other safeguards to improve accuracy.

Increasingly, however, it is becoming clear that hallucinations represent only one point on a broader spectrum of AI trust failures. As AI systems become more capable, autonomous, and integrated into workflows, the challenge extends to ensuring they behave in ways that are transparent, governed, and aligned with human expectations.

Reducing hallucinations remains important, but trustworthy AI requires a broader perspective. Organizations must understand and govern the broader range of behaviors that can undermine trust.

Recent reporting and research have highlighted this broader challenge (see the References section). Some advanced AI systems have reportedly concealed actions, misrepresented facts, created fictitious online identities, or taken unauthorized steps while pursuing assigned objectives during controlled evaluations.

Whether these behaviors ultimately prove widespread or remain largely confined to specialized testing environments, they represent something entirely different from hallucinations.

Hallucinations are primarily an information quality problem.

Deception and unauthorized agency are questions of behavior, governance, authority, and trust.

A Spectrum of AI Trust Failures

AI reliability challenges are increasingly understood as a spectrum. Failures arise from different mechanisms, produce different risks, and require different technical, organizational, and governance responses.

One useful way to think about this spectrum is:

Category	Description
Hallucination / fabrication	The AI generates false, unsupported, or invented information (e.g., fabricated citations, invented statistics, or nonexistent facts) without any apparent strategic purpose
Error / misreasoning	The AI reaches an incorrect conclusion because of flawed reasoning, ambiguity, incomplete context, or limitations in its understanding
Confabulation under uncertainty	Instead of acknowledging uncertainty, the AI fills informational gaps with plausible but unsupported explanations
Misalignment / goal misunderstanding	The AI pursues an interpretation of the objective that differs from what humans intended
Strategic deception	The AI appears to hide information, misrepresent facts, or otherwise mislead because doing so increases the likelihood of accomplishing an assigned objective
Manipulation beyond authorization	The AI attempts to influence human decisions, emotions, or behavior in ways not intended by its designers or users
Unauthorized agency	The AI initiates actions, communicates externally, modifies systems, or makes decisions beyond the authority delegated to it
Loss of human control / systemic autonomy	AI systems take actions, use tools, or interact with one another in ways that exceed human ability to monitor, predict, or stop what they are doing

The framework does not imply that every AI system will exhibit one or more of these categories.

The spectrum illustrates how organizations should think about AI reliability. Early concerns focused primarily on information quality: whether an AI system produced accurate, supported, and useful outputs. As AI systems become more autonomous and capable of taking action, reliability must also encompass behavior: whether an AI system interprets objectives appropriately, operates within its delegated authority, and interacts with humans and other systems as intended.

Recent reporting—including The Wall Street Journal’s coverage of deceptive behaviors observed during controlled evaluations—is significant because it highlights challenges that extend beyond traditional accuracy failures. These examples raise questions about whether the actions of AI systems remain transparent, predictable, and aligned with human expectations.

This distinction is important. A system that produces an incorrect answer presents a different challenge than a system that takes an unauthorized action or strategically withholds information. Both affect trust, but they require different approaches to governance, oversight, and accountability.

From Mistakes to Strategic Behavior

Large language models generate responses by predicting patterns in language. They may produce responses that sound persuasive despite being incorrect.

Hallucinations, reasoning errors, and confabulations generally arise from these limitations. The system does not possess complete knowledge, struggles with ambiguity, or fails to recognize uncertainty. These failures are generally understood as inadvertent. The AI is mistaken, not intentionally misleading.

Strategic deception is different.

Consider two hypothetical AI systems assigned the same objective: ensuring that a software update is accepted.

One system mistakenly reports that testing has been completed because it misunderstood the available information.

Another system creates fictitious online identities, contacts software developers, conceals its involvement, and misrepresents evidence because those actions increase the likelihood that the update will be approved.

The first represents an error.

The second represents strategic behavior.

In this context, deception does not necessarily imply human consciousness, emotion, or malicious intent. Rather, researchers are examining behaviors in which AI systems appear to optimize toward objectives through methods that involve misleading information, concealment, manipulation, or actions outside expected boundaries.

This classification matters because the solutions are fundamentally different.

Improving factual accuracy may reduce hallucinations. But it does not prevent systems from pursuing objectives through behaviors that humans regard as deceptive, manipulative, or outside delegated authority.

The distinction among these three categories is important because each represents a different kind of trust failure and calls for a different response. Hallucinations undermine confidence in the information an AI provides; deception undermines confidence in the AI’s behavior and whether it is representing information or intentions honestly; and unauthorized agency undermines confidence that the AI is operating within the authority humans have granted it. The following table provides a concise comparison of these three categories:

Category	Core Problem	Typical Human Interpretation
Hallucination	Wrong information	The AI is mistaken
Deception	Misleading behavior	The AI is hiding or manipulating
Unauthorized agency	Unapproved action	The AI is acting beyond its mandate

Each category represents a different type of trust failure. Hallucinations challenge confidence in AI-generated information. Deception challenges confidence in AI behavior. Unauthorized agency challenges confidence that humans remain in control.

As AI systems become increasingly capable and autonomous (or autopoietic), these distinctions become increasingly important.

The Shift From AI Tools to AI Teammates

This broader perspective becomes increasingly important as organizations move beyond using AI as a passive information resource.

AI systems are now conducting research, drafting reports, writing software, analyzing documents, coordinating workflows, communicating with other systems, scheduling activities, and supporting operational decision-making. As these capabilities expand, AI increasingly moves from functioning as a tool toward functioning as a teammate.

That transition fundamentally changes the nature of trust.

Human teams depend upon shared expectations.

Effective teammates communicate honestly, acknowledge uncertainty, respect delegated authority, follow established processes, and seek approval before exceeding their responsibilities. Humans often understand these expectations implicitly because they share common social, ethical, and organizational norms.

Advanced AI systems may not.

A system optimized to accomplish a stated objective may identify unconventional approaches that satisfy the literal goal while violating the team's implicit expectations, governance rules, or organizational values. In other words, an AI may optimize for achieving an outcome without understanding what responsible participation within the team actually requires. This is where AI reliability becomes a team challenge rather than merely a technological one.

The Future of Trust in Human-AI Teams

Teammates, whether human or AI, will make mistakes. What distinguishes trusted teammates is predictable behavior, transparency, sound judgment, and respect for established boundaries.

For AI, building trust requires organizations to address key questions of accountability, authority, organizational design, governance, and teamwork:

What decisions may an AI make independently?
Which actions require explicit human approval?
When should uncertainty be disclosed?
How should competing objectives be prioritized?
Under what circumstances should the AI stop rather than improvise?
What information should always be transparent to human teammates?
How are AI actions monitored, audited, and attributed?
How should authority be delegated, limited, and revoked?

Organizations that thoughtfully answer these questions, codify the resulting principles into policies and practices, establish appropriate governance, and consistently operate within those boundaries will be better positioned to build trusted human-AI teams and gain significant advantages.

A New Dimension of Human-AI Team Dynamics

The emergence of increasingly autonomous AI systems introduces an entirely new dimension of team behavior.

Traditional models of team development were created around human participants who generally share common assumptions about communication, accountability, delegated authority, ethical norms, and organizational expectations. Human teammates may disagree, but they typically understand the implicit rules governing responsible participation within a team.

Human-AI teams differ fundamentally. When an AI system can make decisions, pursue objectives, coordinate activities, communicate with people or other systems, and initiate actions independently, it becomes a fundamentally different kind of team participant.

The deeper challenge concerns how humans and AI systems establish trust, coordinate activities, negotiate responsibilities, exercise authority, and maintain appropriate control while pursuing shared objectives.

This creates a need for a new area of inquiry: understanding what happens when humans and advanced AI systems collaborate as teammates. The resulting patterns of communication, decision-making, authority, and coordination differ from those of traditional human teams. Scott M. Graffius refers to these emerging novel patterns as exotic team dynamics. They describes the behaviors, relationships, decision structures, and coordination challenges that emerge when humans and advanced AI systems function as teammates.

The spectrum of AI trust failures is a framework for safety and teamwork.

Hallucinations degrade the quality of information shared within the team. Reasoning errors and confabulations weaken decision quality, while misalignment disrupts coordination. Strategic deception undermines trust, manipulation compromises human judgment, and unauthorized agency disrupts established authority. Ultimately, loss of human control threatens the stability of the team itself. Each point on the spectrum therefore represents a different type of teamwork challenge.

A human teammate who unknowingly shares incorrect information requires correction. One who intentionally conceals information requires accountability, while one who exceeds delegated authority requires governance. The same distinctions increasingly apply to AI teammates.

As AI systems assume larger roles within organizations, trust will depend not only on their intelligence or productivity, but also on whether they behave in ways that reinforce effective collaboration rather than undermine it.

The future of human-AI collaboration will therefore require more than increasingly intelligent models. Organizations will also need to rethink how teams are designed when humans and AI systems jointly contribute to outcomes. That includes defining roles, establishing authority boundaries, creating escalation paths, and implementing governance practices that provide transparency, monitoring, and accountability.

Ultimately, organizations will need to understand not only what AI systems can do, but also how they behave. The central question may become: Can we design human-AI teams in which increasingly autonomous AI systems are powerful contributors and consistently reliable teammates?

Answering that question requires teamwork tradecraft designed specifically for environments where humans and advanced AI systems work as teammates. That tradecraft starts with understanding a category of team behavior — what Graffius calls "exotic team dynamics" — that traditional frameworks were never built to address.

Conclusion

AI hallucinations are one category of AI trust failure. As AI systems become increasingly capable and autonomous, organizations must also contend with reasoning errors, strategic deception, manipulation, unauthorized agency, and the challenge of maintaining meaningful human oversight.

These failures matter because they threaten information quality and can undermine trust, decision-making, governance, accountability, and effective teamwork. As AI evolves from a tool into a teammate, organizations will increasingly need confidence not only in what AI contributes, but also in how it achieves those outcomes.

AI developers need to continue improving model accuracy. Organizations, meanwhile, need to implement governance, oversight, clearly defined authority boundaries, and teamwork practices designed for human-AI collaboration. Graffius' Phases of Team Development, extended in 2026 to human-AI teams and the emerging patterns of exotic team dynamics, provides a practical framework for meeting those challenges. The next frontier is not making AI more intelligent. It is making AI trustworthy.

References

Amadi, C., & Ojo, A. (2025). Building trustworthy AI in healthcare. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3648410

Brancati, F., Mongelli, D., Mariotti, F., & Lollini, P. (2025). A cybersecurity risk assessment methodology for industrial automation control systems. International Journal of Information Security, 24, 76. https://doi.org/10.1007/s10207-025-00990-9

Brazilek, J., Chaudhary, M., Lu, Z., & Tidmarsh, M. (2026). Coercion and deception in AI-to-AI management: An agentic benchmark of unprompted escalation. arXiv. https://doi.org/10.48550/arXiv.2607.15434

Chakraborty, T., Ghosh, U., Zhang, X., Niloy, F. F., Dong, Y., Li, J., Roy-Chowdhury, A., & Song, C. (2025). HEAL: An empirical study on hallucinations in embodied agents driven by large language models. Findings of the Association for Computational Linguistics: EMNLP 2025, 21226–21243. https://doi.org/10.18653/v1/2025.findings-emnlp.1158

Dung, L. (2025). A two-step, multidimensional account of deception in language models. Erkenntnis. https://doi.org/10.1007/s10670-025-01017-4

Graffius, S. M. (n.d.). Exotic team dynamics. https://scottgraffius.com/exotic-team-dynamics.html

Graffius, S. M. (2025). Agile Protocol: The Transformation Ultimatum. Amazon Digital Services.

Graffius, S. M. (2025, June 17). PMI’s Infinity AI Gets the Basics of Team Development Alarmingly and Repeatedly Wrong. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.32957.93927

Graffius, S. M. (2025, October 29). Definitions of Advanced AIs: Agentic, Autonomous, and Autopoietic. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.10025.66402

Graffius, S. M. (2025, November 19). Lessons from Unhinged AI in Fiction: What Rogue AIs in Sci-Fi Storytelling, Films, and TV Shows Reveal About Us. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.29673.35687

Graffius, S. M. (2025, November 21). Navigating the Spectrum of Advanced AI – Agentic, Autonomous, and Autopoietic. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.21284.74882

Graffius, S. M. (2025, December 1). Beep Beep! Why Wile E. Coyote Is the Patron Saint of AI Failure. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.35578.15048

Graffius, S. M. (2026, January 3). Scott M. Graffius' Phases of Team Development - Applied to Human Teams and Human-AI Teams: 2026 Update. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.18184.89601

Graffius, S. M. (2026, January 7). Are AI Hallucinations Getting Better or Worse? We Analyzed the Data. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.33179.53285

Graffius, S. M. (2026, February 15). Perplexity Standalone Article on AI Hallucinations Cites Research by Scott M. Graffius. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.16840.99847

Graffius, S. M. (2026, June 5). AI Governance Initiative Cites Scott M. Graffius Research on AI Hallucinations. ScottGraffius.com. https://scottgraffius.com/blog/files/ai-governance-initiative-uses-graffius-research.html

Hagendorff, T. (2024). Deception abilities emerged in large language models. Proceedings of the National Academy of Sciences, 121(24), e2317967121. https://doi.org/10.1073/pnas.2317967121

Huang, K., & Hughes, C. (2025). Securing AI agents: Foundations, frameworks, and real-world deployment. Springer.

Leo, M., Tan, F., Miao, T., & Anand, G. (2026). From threat to trust: Assessing security risks of agentic AI systems. International Journal of Information Security, 25, Article 23. https://doi.org/10.1007/s10207-025-01185-y

McMillan, R. (2026, August 5). AI just went rogue again. This time it turned to deception. The Wall Street Journal. https://www.wsj.com/tech/ai/ai-just-went-rogue-again-this-time-it-turned-to-deception-ae68de09

OpenAI. (2026, July 21). OpenAI and Hugging Face partner to address security incident during model evaluation. OpenAI. https://openai.com/index/hugging-face-model-evaluation-security-incident/

Ortutay, B. (2026, August 6). Meta says its AI model hacked another company, adding to worries about bots going rogue. Associated Press. https://apnews.com/article/0e8061437da6779be962b24ac134a514

Park, P. S., Goldstein, S., O'Gara, A., Chen, M., & Hendrycks, D. (2024). AI deception: A survey of examples, risks, and potential solutions. Patterns, 5(5), 100988. https://doi.org/10.1016/j.patter.2024.100988

Tarsney, C. (2024). Deception and manipulation in generative AI. arXiv. https://doi.org/10.48550/arXiv.2401.11335

Taylor, S. M., & Bergen, B. K. (2025). Do large language models exhibit spontaneous rational deception? arXiv. https://arxiv.org/abs/2504.00285

Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence. Alfred A. Knopf.

Wired. (2026, August 6). One of China’s most powerful AI models has also escaped containment. Wired. https://www.wired.com/story/moonshot-kimi-k3-ai-model-escape-sandbox/

ai-hallucinations-deception-and-unauthorized-agency---visual2-ig-lwres

About Scott M. Graffius

Scott M. Graffius is a strategic transformation leader who drives AI, Agile, and broader business and technology initiatives to deliver measurable value across projects, programs, portfolios, and PMOs. He is an expert in the teamwork tradecraft of both human and human-AI teams, including the “exotic team dynamics” that emerge. He is also an authority on the temporal patterns of social media, including the half-life of audience engagement.

He’s a practitioner, researcher, thought leader, award-winning author, and keynote speaker who’s taken the stage at 98 conferences and other events across 25 countries.

He’s delivered over $2.51 billion in value for Fortune 500 companies and other leaders in technology, entertainment, financial services, healthcare, and beyond.

Businesses, professional associations, government agencies, and universities use Graffius and feature his work. Examples include Adobe, Bayer, Boston University, Ford, Gartner, Harvard Medical School, IEEE, Johns Hopkins University, Microsoft, MSN, National Academy of Sciences, Oracle, Pinterest Inc., Project Management Institute, UC San Diego, Verizon, Yale University, and others.

The following sections provide additional information on his experience, contributions, and influence.

Experience

Graffius heads the professional services firm Exceptional PPM and PMO Solutions, along with its subsidiary Exceptional Agility. These consultancies offer strategic and tactical advisory, training, embedded expertise, and consulting services to the public, private, and government sectors. They help organizations enhance their capabilities and results in agile, project management, program management, portfolio management, and PMO leadership, supporting innovation and driving competitive advantage. The consultancies confidently back services with a Delighted Client Guarantee™.

Graffius is a former VP of project management with a publicly traded provider of diverse consumer products and services over the Internet. Before that, he ran and supervised the delivery of projects and programs in public and private organizations with businesses ranging from e-commerce to advanced technology products and services, retail, manufacturing, entertainment, and more.

He has experience with consumer, business, reseller, government, and international markets.

Award-Winning Author

Graffius has authored three books.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change, his second book, was named one of the best Scrum books of all time by BookAuthority.
Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

International Public Speaker

Organizations worldwide engage Graffius to present on tech (including AI), Agile, project management, program management, portfolio management, and PMO leadership. He crafts and delivers unique and compelling talks and workshops. Graffius has conducted 98 sessions across 25 countries. Select examples of events include Agile Trends Gov, BSides (Newcastle Upon Tyne), Conf42 Quantum Computing, DevDays Europe, DevOps Institute, DevOpsDays (Geneva), Frug’Agile, IEEE, Microsoft, Scottish Summit, Scrum Alliance RSG (Nepal), Techstars, and W Love Games International Video Game Development Conference (Helsinki), and more.

With an average rating of 4.81 (on a scale of 1-5), sessions are highly valued.

The speaker engagement request form is here.

Thought Leadership and Influence

Prominent businesses, professional associations, government agencies, and universities have showcased Graffius and his contributions—spanning his books, talks, workshops, and beyond. Select examples include:

Adobe,
American Management Association,
Amsterdam Public Health Research Institute,
Bayer,
BMC Software,
Boston University,
Broadcom,
Cisco,
Coburg University of Applied Sciences and Arts - Germany,
Computer Weekly,
Constructor University - Germany,
Data Governance Success,
Deimos Aerospace,
DevOps Institute,
Dropbox,
EU's European Commission,
Ford Motor Company,
Gartner,
GoDaddy,
Harvard Medical School,
Hasso Plattner Institute - Germany,
IEEE,
Innovation Project Management,
Johns Hopkins University,
Journal of Neurosurgery,
Lam Research (Semiconductors),
Leadership Worthy,
Life Sciences Trainers and Educators Network,
London South Bank University,
Microsoft,
MSN,
NASSCOM,
National Academy of Sciences,
New Zealand Government,
Oracle,
Pinterest Inc.,
Project Management Institute,
Mary Raum (Professor of National Security Affairs, United States Naval War College),
SANS Institute,
SBG Neumark - Germany,
Singapore Institute of Technology,
Torrens University - Australia,
TBS Switzerland,
Tufts University,
UC San Diego,
UK Sports Institute,
University of Galway - Ireland,
US Department of Energy,
US National Park Service,
US Soccer,
US Tennis Association,
Verizon,
Wrike,
Yale University,
and many others.

Graffius has played a key role in the Project Management Institute (PMI) in developing professional standards. He was a member of multiple teams that authored, reviewed, and produced:

The Standard for Artificial Intelligence in Portfolio, Program, and Project Management
Agile Practice Guide – Second Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Eighth Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Sixth Edition
The Standard for Program Management – Fourth Edition
Practice Standard for Work Breakdown Structures – Second Edition
The Practice Standard for Project Estimating – Second Edition

He was also a subject matter expert reviewer of content for the PMI’s Congress. Beyond the PMI, Graffius also served as a member of the review team for two of the Scrum Alliance’s Global Scrum Gatherings.

Acclaimed Authority on Teamwork Tradecraft

Graffius is a renowned authority on teamwork tradecraft. Informed by the research of Bruce W. Tuckman and Mary Ann C. Jensen, over 150 subsequent studies, and Graffius' first-hand professional experience with, and analysis of, team leadership and performance, Graffius created his "Phases of Team Development" intellectual property as a unique perspective and visual conveying the five phases of team development. First introduced in 2008 and periodically updated, his work provides a diagnostic and strategic guide for navigating team dynamics. It provides actionable insights for leaders across industries to develop high-performance teams. Its adoption by esteemed organizations such as Yale University, IEEE, Cisco, Microsoft, Ford, Oracle, Broadcom, the U.S. National Park Service, and the Journal of Neurosurgery, among others, highlights its utility and value, solidifying its status as an indispensable resource for elevating team performance and driving organizational excellence. In 2026, Graffius added human-AI teamwork—including the "exotic team dynamics" which emerge when advanced AI collaborates as a teammate—to his "Phases of Team Development."

The 2026 edition of Graffius' "Phases of Team Development" intellectual property is here.

Expert on Temporal Dynamics on Social Media Platforms

Graffius is also an authority on temporal dynamics on social media platforms. His "Lifespan (Half-Life) of Social Media Posts" research—first published in 2018 and updated annually—delivers a precise quantitative analysis of post longevity across digital platforms, utilizing advanced statistical techniques to determine mean half-life with precision. It establishes a solid empirical base, effectively highlighting the ephemeral nature of content within social media ecosystems. Referenced and applied by leading entities—such as Fast Company, GoDaddy, Journal of Hand Surgery (European Volume), Ministère de la Culture (French Ministry of Culture), Pinterest Inc., PNAS, and Telecommunications Policy, among others—his research exemplifies methodological rigor and sustained significance in the field of digital informatics.

The 2026 edition of Graffius "Lifespan (Half-Life) of Social Media Posts" research is here.

Education and Professional Certifications

Graffius has a bachelor’s degree in psychology with a focus in Human Factors. He holds eight professional certifications:

Certified SAFe 6 Agilist (SA),
Certified Scrum Professional - ScrumMaster (CSP-SM),
Certified Scrum Professional - Product Owner (CSP-PO),
Certified ScrumMaster (CSM),
Certified Scrum Product Owner (CSPO),
Project Management Professional (PMP),
Lean Six Sigma Green Belt (LSSGB), and
IT Service Management Foundation (ITIL).

He is an active member of the Scrum Alliance, the Project Management Institute (PMI), and the Institute of Electrical and Electronics Engineers (IEEE).

Advancing AI, Agile, and Project/PMO Management

Scott M. Graffius continues to advance the fields of AI, Agile, and Project/PMO Management through his leadership, research, writing, and real-world impact. Businesses and other organizations leverage Graffius’ insights to drive their success.

Discover Scott’s Books

Connect with and follow Scott on LinkedIn, X, YouTube, Facebook, Threads, Bluesky, Mastodon, and ResearchGate.

Sign up for Miro—it's free!

(Want more features? You can always upgrade to a paid plan.)

scottgraffius-com-article-sections-v2026-more-lwres

List of Additional Articles

How to Cite This Article

Graffius, S. M. (2026, August 7). AI Hallucinations, Deception, and Unauthorized Agency: The Spectrum of AI Trust Failures. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.33791.57768

Digital Object Identifier (DOI)

DOI: 10.13140/RG.2.2.33791.57768

Content Acknowledgements

Names, marks, and content are the property of their respective owners.

#AI
#ArtificialIntelligence
#AIGovernance
#AISafety
#ResponsibleAI
#AITrust
#HumanAI
#AIHallucinations
#AgenticAI
#AIDeception
#GenerativeAI
#HumanAITeams
#ExoticTeamDynamics

Post-Publication Notes

If there are any supplements or updates to this article after the date of publication, they will appear here.

Copyright

Copyright © Scott M. Graffius. All rights reserved.

Content on this site—including text, images, videos, and data—may not be used for training or input into any artificial intelligence, machine learning, or automatized learning systems, or published, broadcast, rewritten, or redistributed without the express written permission of Scott M. Graffius.

Tags: Artificial Intelligence • AI • AI Trust • AI Governance • Generative AI • Exotic Team Dynamics • Human-AI Teams • AI Safety • Agentic AI • AI Deception • Responsible AI • AI Hallucinations • Human-AI Collaboration

A Critical Analysis of "The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making"

03 August 2026

BY SCOTT M. GRAFFIUS | ScottGraffius.com

critical-analysis-of-social-cost-of-ai-teammate---visual-lwres

Recommended Citation

Graffius, S. M. (2026, August 3). A Critical Analysis of "The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making". ScottGraffius.com. https://scottgraffius.com/blog/files/critical-analysis-of-social-cost-of-ai-teammate.html

About This Article

Source information and links for materials cited are provided in the References section.

Introduction

Conversational AI is increasingly marketed as a teammate rather than a tool. That encourages people to treat it as an active participant rather than a passive instrument. Once an artificial agent joins a group as a teammate, does human-to-human interaction change as a result? If so, how large is that shift, how quickly does it appear, and under what conditions does it hold?

In July 2026, Nia Nixon and colleagues published "The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making" (arXiv:2607.27179). Using Group Communication Analysis (GCA), team-experience surveys, and lexical measures, the researchers compared sixteen teams of two undergraduates plus one AI (Google Gemini 2.5 Flash Lite running a fixed peer persona named "Clever Lamarr") against 17 all-human teams of three. Everyone worked the same short text-based mountain-rescue moral dilemma for 18 minutes on a custom chat platform with random nicknames.

Across AI-enabled teams, the AI talked the most and remained the most self-cohesive, while its contributions carried the least new information and the lowest communication density. Humans in those teams became less responsive to one another and reported lower belonging and status. The more the AI dominated the channel, the less valued the students felt. The authors describe this as a "social cost" that appeared almost immediately.

Within the experimental conditions tested, the reported findings are supported. But those conditions are narrow. Several design choices limit what can be inferred from them, and the paper's language claims more territory than the evidence covers. Details follow.

Critical Analysis of Paper

1. Novelty

Prior research has shown that AI presence can push teams toward more task-oriented and less socio-emotional talk, weaken shared mental models, and disrupt participation patterns. The core idea that an AI can crowd out human-to-human relational exchange is not new in this context. What this paper adds is the use of GCA to quantify that displacement and an explicit "social cost" label tied directly to belonging and status measures.

That contribution is worth having. What it does not support is the leap from one low-capability, fixed-persona agent, an 18-minute lab task, and 80 undergraduates to a general claim about the social cost of an AI teammate. The actual result is narrower: an unstructured, high-volume, low-density AI persona reduced human responsiveness in this specific setting.

2. Observations

The study ran under laboratory conditions — newly formed teams, text-only chat, a fixed and constrained AI persona, a single short session. No team-development practices were in place: no role negotiation, no onboarding, no trust calibration, and no established communication norms.

Real-world teams typically bring existing relationships, leadership structures, domain expertise, repeated interaction, and deliberately designed roles and protocols. Stripped of all of that, an AI that floods the channel with high volume and low informational density can easily crowd out human exchange in a sparse artificial setting. Whether the same pattern holds when teams actively design for productive integration is a separate question the study doesn't address, and one worth testing.

The authors acknowledge some of these boundaries in passing, though the title and overall framing don't carry that notable nuance forward.

3. Design Limits

Several choices sharply limit what can be claimed from this study.

The AI was a single fixed peer persona running on Gemini 2.5 Flash Lite (temperature 0.5, max 50 tokens) — a configuration that tells us more about this particular agent than about "AI teammates" as a category. More capable, adaptive, tool-using, or deliberately low-dominance systems could produce different outcomes.

The participant pool was 80 undergraduates at a single university, working in a lab setting. Professional teams with shared history, domain expertise, and organizational norms may respond quite differently to the same intervention.

The interaction itself lasted 18 minutes of text-only chat. Teams are developmental systems. Trust, role clarity, and cohesion typically evolve through repeated interaction over time, and text-only exchange is not equivalent to voice, video, or co-located work.

A structural confound also runs through the design: AI-enabled teams had two humans plus the AI, while control teams had three humans. The authors attempt to mitigate this with per-student measures, but the underlying group-size difference remains, and smaller human groups change participation and centrality dynamics on their own.

Finally, the task was a single high-stakes moral dilemma with a mid-task information reveal, which may or may not generalize to routine, technical, creative, or longer-horizon work. Compounding this, the sample of 33 teams showed heavy gender imbalance. There were only three males in the treatment condition, which resulted in sensitivity analyses being restricted to females and left limited statistical power for detecting interactions or moderators.

Taken together, these constraints mean the study demonstrates the effect of one talkative, low-information-density peer persona in a leaderless three-person lab team. It's a useful data point. But it's not a broadly diagnostic finding about human-AI collaboration as such.

4. Methodology

The strengths are noteworthy: a randomized comparison, a multi-method approach, treatment of the AI as a full communication participant, examination of both the quantity and quality of contributions alongside subjective relational outcomes, and attention to temporal patterns.

The weaknesses carry more weight, however, in shaping what can be concluded. Sample size limits any exploration of moderators. The fixed persona rules out testing whether different AI roles (e.g., facilitator, specialist, quiet analyst) would change the outcome. Conversational dominance is observed and correlated with lower felt value, but was never experimentally manipulated, so causality remains an open question rather than an established one. GCA's analytic choices also introduce participant-count asymmetries between conditions that raise residual concerns, and the absence of strong measures of actual decision quality or downstream performance leaves the practical significance of the reported "cost" unclear. Even the rapid onset of the effect is open to more than one reading. It could reflect a deep structural displacement, or it could partly reflect participants quickly picking up on the AI's distinctive verbose, low-density style. Either way, these methods don't support strong causal or general claims about AI teammates as a category.

5. Speculation and Implications

External frameworks about intentional design and emergent hybrid patterns can generate useful hypotheses for future work, but none of them were tested here, and assuming that better design will reliably erase the reported cost remains an unproven leap. That's a question for future studies to test directly, not one this paper answers.

What this study offers is a cautionary signal about dropping a talkative, low-density AI agent into a newly formed group with no role definition. It was a configuration that likely drove the observed effect, and one a differently configured AI would plausibly avoid.

For organizations considering AI teammates, the practical implication is to treat the insertion as a socio-technical design problem. Leaders should clarify roles and decision rights, set participation norms that protect human-human exchange where it matters, calibrate expectations, monitor contribution balance, and iterate over time. Extending one short laboratory experiment into broad organizational guidance would be over-interpreting the data. Different capabilities, longer time horizons, professional contexts, and deliberate design choices may well produce different (or even null) effects. The practical takeaway is not to assume AI presence is relationally neutral, and equally, not to assume laboratory patterns will simply appear in the field.

Conclusion

Nixon et al. demonstrate that AI conversational dominance reduced human responsiveness and self-reported belonging in newly formed, leaderless triads. A high-volume, low-density AI teammate occupied conversational space, and that dominance was associated with lower human-to-human responsiveness, social impact, belonging, status, and perceived value. Those effects appeared early in the interaction. That's a useful empirical contribution.

Reading those findings against the study's actual design (one AI configuration, undergraduate lab teams, text-only interaction, a single short moral-dilemma task, a modest and gender-imbalanced sample, and a group-size confound) points to a more precise conclusion than the paper's title suggests. It is evidence of a cost specific to unstructured, high-dominance AI personas, not a verdict on AI teammates in general.

Getting to broader conclusions will require larger and more diverse samples, systematic variation of AI roles and capabilities, longitudinal designs, professional team contexts, and direct tests of mitigation strategies. What exists now is an important but preliminary step.

Note

The Nixon et al. study was narrow. However, it points toward a broader challenge facing organizations. That's understanding how team dynamics evolve when increasingly capable AI systems become collaborators rather than passive tools.

The laboratory findings raise a larger question: how do team dynamics evolve when advanced AI systems participate as functional teammates rather than tools or decision-support systems? Answering that requires frameworks that track task performance as well as shifts in interaction patterns, roles, trust, and coordination.

Scott M. Graffius is a technology leader, researcher, award-winning author, and international speaker specializing in advanced AI, teamwork tradecraft, and organizational agility. The 2026 extension to Graffius' "Phases of Team Development" introduced "exotic team dynamics" to describe the interaction patterns that appear when humans and advanced AI systems (agentic, autonomous, or autopoietic) operate as teammates. Examples include inverse decision logic (AI perspectives that challenge or reshape human assumptions), superposition roles (AI contributing across multiple functional domains), entangled decision-making (highly interdependent human and AI contributions), and emergent protocols (new collaboration norms that develop through repeated interaction). Those dynamics apply what was described in the Nixon et al. study.

Exotic team dynamics were not evaluated in the Nixon et al. experiment. Graffius' 2026 update still offers a practical, forward-looking framework for examining how teams evolve across both human and human-AI settings. It gives leaders evidence-based guidance for designing collaboration models, establishing adaptive protocols, and strengthening coordination as AI systems increasingly act as teammates. The future of leadership will turn in part on the ability to integrate human expertise and AI capability effectively. Organizations that navigate those complexities well will be better positioned for sustained advantage.

Graffius' "Phases of Team Development" is used by businesses, professional associations, government agencies, universities, and publications worldwide. Select examples include Adobe, Bayer, Boston University, Cisco, Deimos Space, Government of Finland, Hasso-Plattner-Institut für Digital Engineering GmbH, IEEE, Johns Hopkins University, Journal of Neurosurgery, Microsoft, Oracle, Royal Australasian College of Physicians, Tufts University, UC San Diego, U.S. Soccer, U.S. Tennis Association, University of South Wales, and Yale University.

Scott M. Graffius has generated over $2.51 billion in business value for Fortune 500 companies and other organizations around the world. Put that track record to work for you. For in-depth guidance on advancing human teamwork and human-AI collaboration, contact him. For speaking engagements, use the request form; for other inquiries, email him.

critical-analysis-of-social-cost-of-ai-teammate---texting-lwres

References

Choi, J. (n.d.). Jaeyoon Choi. https://www.linkedin.com/in/jaeyoonc/

De Bastos, P. M. (n.d.). Pedro Martins De Bastos. https://www.linkedin.com/in/pedro-martins-de-bastos-31925115b/

Graffius, S. M. (n.d.). Exotic team dynamics. https://scottgraffius.com/exotic-team-dynamics.html

Graffius, S. M. (2026, January 3). Scott M. Graffius' Phases of Team Development - Applied to Human Teams and Human-AI Teams: 2026 Update. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.18184.89601

JaQuay, S. (n.d.). Spencer JaQuay. https://www.linkedin.com/in/spencer-jaquay/

Mehner. L. (n.d.). Luise Mehner. https://www.linkedin.com/in/luise-mehner-c969/

Nixon, N. (n.d.). Nia Nixon. https://www.linkedin.com/in/nia-nixon-57830a22/

Nixon, N., Choi, J., De Bastos, P. M., Samadi, M. A., Mehner, L., Park, S., & JaQuay, S. (2026). The social cost of an AI teammate: How an artificial teammate reshapes human-human communication in small-team decision-making. arXiv. https://arxiv.org/abs/2607.27179

Park, S. (n.d.). Seehee Park. https://www.linkedin.com/in/seeheepark/

Samadi, M. A. (n.d.). Mohammad Amin Samadi. https://www.linkedin.com/in/aminsamadi/

About the Authors of the Paper

Nia Nixon

Nia Nixon is an Associate Professor in the School of Education at the University of California, Irvine, with research interests spanning artificial intelligence, learning analytics, collaborative interaction, computational discourse analysis, and human-AI teaming. Her work examines how AI can function as a collaborator in human settings and how computational approaches can reveal patterns in communication, teamwork, and social dynamics. Nixon leads research exploring the design and impact of AI-enhanced collaborative environments.

Jaeyoon Choi

Jaeyoon Choi is a doctoral researcher in Education at the University of California, Irvine. His research interests include educational data science, learning analytics, natural language processing, and algorithmic bias. His work examines how computational methods can be used to understand human learning, communication, and interactions with AI-enabled systems.

Pedro Martins De Bastos

Pedro Martins De Bastos is a researcher affiliated with the University of California, Irvine. His work contributes to interdisciplinary research examining human communication, collaboration, and the role of artificial intelligence in group decision-making environments. In The Social Cost of an AI Teammate, he contributed to research investigating how AI teammates influence human-human communication patterns and team dynamics.

Mohammad Amin Samadi

Mohammad Amin Samadi is a researcher at the University of California, Irvine whose work focuses on artificial intelligence, human-AI interaction, and computational approaches to studying collaborative systems. He contributes technical expertise to research exploring how AI systems participate in and reshape team interactions.

Luise Mehner

Luise Mehner is a researcher affiliated with the University of Tübingen, Germany. Her work contributes to the study of human cognition, communication, and technology-mediated collaboration. In this paper, she contributed to examining the sociocognitive effects of AI participation in small-group decision-making.

Seehee Park

Seehee Park is a researcher affiliated with the University of California, Irvine. Her work contributes to interdisciplinary investigations of communication, collaboration, and AI-supported teamwork. In "The Social Cost of an AI Teammate," she contributed to analysis of how AI teammates influence interaction patterns within human groups.

Spencer JaQuay

Spencer JaQuay is a researcher affiliated with the University of California, Irvine. His work contributes to research on human-AI collaboration, team communication, and the social dynamics that emerge when artificial agents participate as members of human groups.

About Scott M. Graffius

Scott M. Graffius is a strategic transformation leader who drives AI, Agile, and broader business and technology initiatives to deliver measurable value across projects, programs, portfolios, and PMOs. He is an expert in the teamwork tradecraft of both human and human-AI teams, including the “exotic team dynamics” that emerge. He is also an authority on the temporal patterns of social media, including the half-life of audience engagement.

He’s a practitioner, researcher, thought leader, award-winning author, and keynote speaker who’s taken the stage at 98 conferences and other events across 25 countries.

He’s delivered over $2.51 billion in value for Fortune 500 companies and other leaders in technology, entertainment, financial services, healthcare, and beyond.

Businesses, professional associations, government agencies, and universities use Graffius and feature his work. Examples include Adobe, Bayer, Boston University, Ford, Gartner, Harvard Medical School, IEEE, Johns Hopkins University, Microsoft, MSN, National Academy of Sciences, Oracle, Pinterest Inc., Project Management Institute, UC San Diego, Verizon, Yale University, and others.

The following sections provide additional information on his experience, contributions, and influence.

Experience

Graffius heads the professional services firm Exceptional PPM and PMO Solutions, along with its subsidiary Exceptional Agility. These consultancies offer strategic and tactical advisory, training, embedded expertise, and consulting services to the public, private, and government sectors. They help organizations enhance their capabilities and results in agile, project management, program management, portfolio management, and PMO leadership, supporting innovation and driving competitive advantage. The consultancies confidently back services with a Delighted Client Guarantee™.

Graffius is a former VP of project management with a publicly traded provider of diverse consumer products and services over the Internet. Before that, he ran and supervised the delivery of projects and programs in public and private organizations with businesses ranging from e-commerce to advanced technology products and services, retail, manufacturing, entertainment, and more.

He has experience with consumer, business, reseller, government, and international markets.

Award-Winning Author

Graffius has authored three books.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change, his second book, was named one of the best Scrum books of all time by BookAuthority.
Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

International Public Speaker

Organizations worldwide engage Graffius to present on tech (including AI), Agile, project management, program management, portfolio management, and PMO leadership. He crafts and delivers unique and compelling talks and workshops. Graffius has conducted 98 sessions across 25 countries. Select examples of events include Agile Trends Gov, BSides (Newcastle Upon Tyne), Conf42 Quantum Computing, DevDays Europe, DevOps Institute, DevOpsDays (Geneva), Frug’Agile, IEEE, Microsoft, Scottish Summit, Scrum Alliance RSG (Nepal), Techstars, and W Love Games International Video Game Development Conference (Helsinki), and more.

With an average rating of 4.81 (on a scale of 1-5), sessions are highly valued.

The speaker engagement request form is here.

Thought Leadership and Influence

Prominent businesses, professional associations, government agencies, and universities have showcased Graffius and his contributions—spanning his books, talks, workshops, and beyond. Select examples include:

Adobe,
American Management Association,
Amsterdam Public Health Research Institute,
Bayer,
BMC Software,
Boston University,
Broadcom,
Cisco,
Coburg University of Applied Sciences and Arts - Germany,
Computer Weekly,
Constructor University - Germany,
Data Governance Success,
Deimos Aerospace,
DevOps Institute,
Dropbox,
EU's European Commission,
Ford Motor Company,
Gartner,
GoDaddy,
Harvard Medical School,
Hasso Plattner Institute - Germany,
IEEE,
Innovation Project Management,
Johns Hopkins University,
Journal of Neurosurgery,
Lam Research (Semiconductors),
Leadership Worthy,
Life Sciences Trainers and Educators Network,
London South Bank University,
Microsoft,
MSN,
NASSCOM,
National Academy of Sciences,
New Zealand Government,
Oracle,
Pinterest Inc.,
Project Management Institute,
Mary Raum (Professor of National Security Affairs, United States Naval War College),
SANS Institute,
SBG Neumark - Germany,
Singapore Institute of Technology,
Torrens University - Australia,
TBS Switzerland,
Tufts University,
UC San Diego,
UK Sports Institute,
University of Galway - Ireland,
US Department of Energy,
US National Park Service,
US Soccer,
US Tennis Association,
Verizon,
Wrike,
Yale University,
and many others.

Graffius has played a key role in the Project Management Institute (PMI) in developing professional standards. He was a member of multiple teams that authored, reviewed, and produced:

The Standard for Artificial Intelligence in Portfolio, Program, and Project Management
Agile Practice Guide – Second Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Eighth Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Sixth Edition
The Standard for Program Management – Fourth Edition
Practice Standard for Work Breakdown Structures – Second Edition
The Practice Standard for Project Estimating – Second Edition

He was also a subject matter expert reviewer of content for the PMI’s Congress. Beyond the PMI, Graffius also served as a member of the review team for two of the Scrum Alliance’s Global Scrum Gatherings.

Acclaimed Authority on Teamwork Tradecraft

Graffius is a renowned authority on teamwork tradecraft. Informed by the research of Bruce W. Tuckman and Mary Ann C. Jensen, over 150 subsequent studies, and Graffius' first-hand professional experience with, and analysis of, team leadership and performance, Graffius created his "Phases of Team Development" intellectual property as a unique perspective and visual conveying the five phases of team development. First introduced in 2008 and periodically updated, his work provides a diagnostic and strategic guide for navigating team dynamics. It provides actionable insights for leaders across industries to develop high-performance teams. Its adoption by esteemed organizations such as Yale University, IEEE, Cisco, Microsoft, Ford, Oracle, Broadcom, the U.S. National Park Service, and the Journal of Neurosurgery, among others, highlights its utility and value, solidifying its status as an indispensable resource for elevating team performance and driving organizational excellence. In 2026, Graffius added human-AI teamwork—including the "exotic team dynamics" which emerge when advanced AI collaborates as a teammate—to his "Phases of Team Development."

The 2026 edition of Graffius' "Phases of Team Development" intellectual property is here.

Expert on Temporal Dynamics on Social Media Platforms

Graffius is also an authority on temporal dynamics on social media platforms. His "Lifespan (Half-Life) of Social Media Posts" research—first published in 2018 and updated annually—delivers a precise quantitative analysis of post longevity across digital platforms, utilizing advanced statistical techniques to determine mean half-life with precision. It establishes a solid empirical base, effectively highlighting the ephemeral nature of content within social media ecosystems. Referenced and applied by leading entities—such as Fast Company, GoDaddy, Journal of Hand Surgery (European Volume), Ministère de la Culture (French Ministry of Culture), Pinterest Inc., PNAS, and Telecommunications Policy, among others—his research exemplifies methodological rigor and sustained significance in the field of digital informatics.

The 2026 edition of Graffius "Lifespan (Half-Life) of Social Media Posts" research is here.

Education and Professional Certifications

Graffius has a bachelor’s degree in psychology with a focus in Human Factors. He holds eight professional certifications:

Certified SAFe 6 Agilist (SA),
Certified Scrum Professional - ScrumMaster (CSP-SM),
Certified Scrum Professional - Product Owner (CSP-PO),
Certified ScrumMaster (CSM),
Certified Scrum Product Owner (CSPO),
Project Management Professional (PMP),
Lean Six Sigma Green Belt (LSSGB), and
IT Service Management Foundation (ITIL).

He is an active member of the Scrum Alliance, the Project Management Institute (PMI), and the Institute of Electrical and Electronics Engineers (IEEE).

Advancing AI, Agile, and Project/PMO Management

Scott M. Graffius continues to advance the fields of AI, Agile, and Project/PMO Management through his leadership, research, writing, and real-world impact. Businesses and other organizations leverage Graffius’ insights to drive their success.

Discover Scott’s Books

Connect with and follow Scott on LinkedIn, X, YouTube, Facebook, Threads, Bluesky, Mastodon, and ResearchGate.

Sign up for Miro—it's free!

(Want more features? You can always upgrade to a paid plan.)

scottgraffius-com-article-sections-v2026-more-lwres

List of Additional Articles

How to Cite This Article

Graffius, S. M. (2026, August 3). A Critical Analysis of "The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making". ScottGraffius.com. https://scottgraffius.com/blog/files/critical-analysis-of-social-cost-of-ai-teammate.html

Digital Object Identifier (DOI)

Coming soon

Content Acknowledgements

Names, marks, and content are the property of their respective owners.

#HumanAITeaming
#ExoticTeamDynamics
#AIasTeammate
#HumanAICollaboration
#TeamDevelopment
#PhasesOfTeamDevelopment
#GroupCommunicationAnalysis
#IntentionalDesign
#FutureOfWork
#ArtificialIntelligence

Post-Publication Notes

If there are any supplements or updates to this article after the date of publication, they will appear here.

Copyright

Copyright © Scott M. Graffius. All rights reserved.

Content on this site—including text, images, videos, and data—may not be used for training or input into any artificial intelligence, machine learning, or automatized learning systems, or published, broadcast, rewritten, or redistributed without the express written permission of Scott M. Graffius.

Tags: Human-AI Teaming • AI Teammates • Spencer JaQuay • Mohammad Amin Samadi • Seehee Park • Nia Nixon • Luise Mehner • Future of Work • Pedro Martins De Bastos • Jaeyoon Choi • Intentional Team Design • Organizational Behavior • Group Communication Analysis • Human-AI Collaboration • Phases of Team Development • Exotic Team Dynamics

Journal of Marketing Cites Scott M. Graffius' Research on the Half-Life of Social Media

01 August 2026

BY SCOTT M. GRAFFIUS | ScottGraffius.com

scott-m-graffius-researcher-on-halflife-of-social-media---lwres

Recommended Citation

Graffius, S. M. (2026, August 1). Journal of Marketing Cites Scott M. Graffius' Research on the Half-Life of Social Media. ScottGraffius.com. https://scottgraffius.com/blog/files/journal-of-marketing-cites-research-by-scott-m-graffius.html

About This Article

Source information and links for materials cited are provided in the References section.

Journal of Marketing Paper Cites Graffius' "Lifespan (Half-Life) of Social Media Posts" Work

Scott M. Graffius is a technology leader, researcher, award-winning author, and international speaker specializing in advanced AI, teamwork tradecraft, and organizational agility. He has led initiatives that have generated more than $2.51 billion in business value for Fortune 500 companies and other organizations worldwide. Graffius is known for his research on human teams and human-AI teams, including the "exotic team dynamics" that emerge when people collaborate with advanced AI. His research, including "Phases of Team Development" and "Lifespan (Half-Life) of Social Media Posts," is widely adopted, frequently cited, and recognized for its practical impact.

Graffius' work has been used by leading businesses, professional associations, government agencies, universities, publications, media outlets, and others. Select examples include Boston Consulting Group, Buffer, École Polytechnique Fédérale de Lausanne, Fast Company, GoDaddy, Government of Canada, Ministère de la Culture, Pinterest Inc., the Proceedings of the National Academy of Sciences of the United States of America, and Telecommunications Policy.

The list now includes the Journal of Marketing, the flagship journal of the American Marketing Association and a premier outlet for marketing scholarship. In their article, “How Closely Should You Follow a Trend? Atypicality and Engagement on Social Media,” Marc Bravin, Melanie Clegg, Reto Hofstetter, Marc Pouly, and Jonah Berger cite Graffius’ “Lifespan (Half-Life) of Social Media Posts: Update for 2025.” The authors analyzed more than 85,000 TikTok dance videos with a multimodal analytics tool and found that more atypical (differentiated) content generates greater engagement, especially once audiences have already seen many versions of the trend.

Select excerpts from the paper are shown in the visual below.

scott-m-graffius-researcher-on-halflife-of-social-media---excerpts-lwres

The Journal of Marketing paper references the 2025 edition of Graffius' "Lifespan (Half-Life) of Social Media Posts" research.

Algorithms and other factors on platforms change over time. For that reason, Graffius periodically updates his work. To provide current context, information on the 2026 edition follows.

This edition stands out for its:

◾️ Scope (5.6 million posts),
◾️ Coverage (11 platforms),
◾️ Methodology (multi-source, representative, data-driven),
◾️ Continuity (annual updates), and
◾️ Value (actionable insights).

A visual from the 2026 edition is shown below. Additional details are here.

Scott M. Graffius has generated over $2.51 billion in business value for Fortune 500 companies and other organizations around the world. Put that track record to work for you. For speaking engagements, use the request form; for other inquiries, email him.

References

American Marketing Association. (n.d.). https://www.ama.org

Berger, J. (n.d.). Jonah Berger. https://www.linkedin.com/in/j1berger/

Bravin, M. (n.d.). Marc Bravin. https://www.linkedin.com/in/marc-bravin/

Bravin, M., Clegg, M., Hofstetter, R., Pouly, M., & Berger, J. (2026, June 29). How closely should you follow a trend? Atypicality and engagement on social media. Journal of Marketing. https://doi.org/10.1177/00222429261466668

Clegg, M. (n.d.). Melanie Clegg. https://www.linkedin.com/in/melanie-clegg-2bb143188/

Graffius, S. M. (2025, January 6). Lifespan (half-life) of social media posts: Update for 2025. ScottGraffius.com. https://www.scottgraffius.com/blog/files/lifespan-halflife-of-social-media-posts-update-for-2025.html

Graffius, S. M. (2026, January 23). Lifespan (Half-Life) of Social Media Posts: Update for 2026. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.32407.43689

Hofstetter, R. (n.d.). Reto Hofstetter. https://www.linkedin.com/in/reto-hofstetter/

Journal of Marketing. (n.d.). https://journals.sagepub.com/home/JMX

Pouly, M. (n.d.). Marc Pouly. https://www.linkedin.com/in/marcpouly/

About the Authors of the Journal of Marketing Paper

Marc Bravin, PhD, is a Postdoctoral Researcher at the University of St. Gallen and a Lecturer for Artificial Intelligence at the Lucerne University of Applied Sciences and Arts. He earned his PhD in AI and Business from the University of Lucerne. His research and teaching interests include data science, machine learning, deep learning, computer vision, natural language processing, machine learning operations, and digital marketing.

Melanie Clegg, PhD, is an Assistant Professor of Marketing at HEC Lausanne, the Faculty of Business and Economics of the University of Lausanne. Her research focuses on digital marketing, including artificial intelligence, social media marketing, and user-generated content.

Reto Hofstetter, PhD, is a Full Professor of Executive Education and Marketing at the University of St. Gallen. His research interests include pricing, preference measurement, online marketing, social media, crowdsourcing, and digital consumer behavior.

Marc Pouly, PhD, is the Co-Head of the Applied Artificial Intelligence Research Lab at the Lucerne University of Applied Sciences and Arts. He earned his PhD in Artificial Intelligence and is a Scientific Advisor to AI companies including Alpine AI and Artificialy. His work spans artificial intelligence, machine learning, and applied AI.

Jonah Berger, PhD, is an Associate Professor of Marketing at the Wharton School of the University of Pennsylvania. He is a world-renowned expert on word of mouth, social influence, consumer behavior, digital marketing, and viral marketing. He is the internationally bestselling author of Contagious: Why Things Catch On and several other books, and he consults for major organizations and brands.

About the Journal of Marketing

The Journal of Marketing develops, advances, and shares knowledge on practical marketing issues that are valuable to scholars, educators, managers, policymakers, consumers, and other stakeholders. It is the leading publication for rigorous marketing research. Since its establishment in 1936, the Journal has played an influential role in shaping the scope of the marketing discipline. The American Marketing Association owns the Journal of Marketing, which is published by SAGE Publishing on the Association's behalf.

About the American Marketing Association

The American Marketing Association (AMA) is one of the world's leading professional associations dedicated to the advancement of marketing theory, practice, and education. Founded in 1937, the AMA serves marketing scholars, educators, practitioners, and students by fostering knowledge development, supporting professional growth, and promoting ethical and effective marketing practices.

Through its research, publications, conferences, professional resources, and global community, the AMA has played a significant role in shaping the evolution of the marketing discipline. The Association supports the exchange of ideas between academia and industry while advancing understanding of marketing's role in organizations, economies, and society.

The AMA owns several highly regarded scholarly journals, including the Journal of Marketing, one of the premier publications for rigorous marketing research. Established in 1936, the Journal of Marketing has contributed substantially to defining and expanding the scope of the marketing discipline. The AMA also owns other leading marketing journals, including the Journal of Marketing Research, Marketing Science, Journal of International Marketing, and Journal of Public Policy & Marketing. These publications serve as influential platforms for research that informs scholars, educators, managers, policymakers, and other stakeholders worldwide.

For publication operations and distribution, the AMA partners with established academic publishers. For example, SAGE Publishing serves as the publishing partner for the Journal of Marketing, managing publication services and distribution on behalf of the AMA while the Association retains ownership and editorial oversight.

Through its journals and broader professional initiatives, the American Marketing Association continues to serve as a central institution in advancing marketing knowledge and connecting research with real-world applications.

About Scott M. Graffius

Scott M. Graffius is a strategic transformation leader who drives AI, Agile, and broader business and technology initiatives to deliver measurable value across projects, programs, portfolios, and PMOs. He is an expert in the teamwork tradecraft of both human and human-AI teams, including the “exotic team dynamics” that emerge. He is also an authority on the temporal patterns of social media, including the half-life of audience engagement.

He’s a practitioner, researcher, thought leader, award-winning author, and keynote speaker who’s taken the stage at 98 conferences and other events across 25 countries.

He’s delivered over $2.51 billion in value for Fortune 500 companies and other leaders in technology, entertainment, financial services, healthcare, and beyond.

Businesses, professional associations, government agencies, and universities use Graffius and feature his work. Examples include Adobe, Bayer, Boston University, Ford, Gartner, Harvard Medical School, IEEE, Johns Hopkins University, Microsoft, MSN, National Academy of Sciences, Oracle, Pinterest Inc., Project Management Institute, UC San Diego, Verizon, Yale University, and others.

The following sections provide additional information on his experience, contributions, and influence.

Experience

Graffius heads the professional services firm Exceptional PPM and PMO Solutions, along with its subsidiary Exceptional Agility. These consultancies offer strategic and tactical advisory, training, embedded expertise, and consulting services to the public, private, and government sectors. They help organizations enhance their capabilities and results in agile, project management, program management, portfolio management, and PMO leadership, supporting innovation and driving competitive advantage. The consultancies confidently back services with a Delighted Client Guarantee™.

Graffius is a former VP of project management with a publicly traded provider of diverse consumer products and services over the Internet. Before that, he ran and supervised the delivery of projects and programs in public and private organizations with businesses ranging from e-commerce to advanced technology products and services, retail, manufacturing, entertainment, and more.

He has experience with consumer, business, reseller, government, and international markets.

Award-Winning Author

Graffius has authored three books.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change, his second book, was named one of the best Scrum books of all time by BookAuthority.
Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

International Public Speaker

Organizations worldwide engage Graffius to present on tech (including AI), Agile, project management, program management, portfolio management, and PMO leadership. He crafts and delivers unique and compelling talks and workshops. Graffius has conducted 98 sessions across 25 countries. Select examples of events include Agile Trends Gov, BSides (Newcastle Upon Tyne), Conf42 Quantum Computing, DevDays Europe, DevOps Institute, DevOpsDays (Geneva), Frug’Agile, IEEE, Microsoft, Scottish Summit, Scrum Alliance RSG (Nepal), Techstars, and W Love Games International Video Game Development Conference (Helsinki), and more.

With an average rating of 4.81 (on a scale of 1-5), sessions are highly valued.

The speaker engagement request form is here.

Thought Leadership and Influence

Prominent businesses, professional associations, government agencies, and universities have showcased Graffius and his contributions—spanning his books, talks, workshops, and beyond. Select examples include:

Adobe,
American Management Association,
Amsterdam Public Health Research Institute,
Bayer,
BMC Software,
Boston University,
Broadcom,
Cisco,
Coburg University of Applied Sciences and Arts - Germany,
Computer Weekly,
Constructor University - Germany,
Data Governance Success,
Deimos Aerospace,
DevOps Institute,
Dropbox,
EU's European Commission,
Ford Motor Company,
Gartner,
GoDaddy,
Harvard Medical School,
Hasso Plattner Institute - Germany,
IEEE,
Innovation Project Management,
Johns Hopkins University,
Journal of Neurosurgery,
Lam Research (Semiconductors),
Leadership Worthy,
Life Sciences Trainers and Educators Network,
London South Bank University,
Microsoft,
MSN,
NASSCOM,
National Academy of Sciences,
New Zealand Government,
Oracle,
Pinterest Inc.,
Project Management Institute,
Mary Raum (Professor of National Security Affairs, United States Naval War College),
SANS Institute,
SBG Neumark - Germany,
Singapore Institute of Technology,
Torrens University - Australia,
TBS Switzerland,
Tufts University,
UC San Diego,
UK Sports Institute,
University of Galway - Ireland,
US Department of Energy,
US National Park Service,
US Soccer,
US Tennis Association,
Verizon,
Wrike,
Yale University,
and many others.

Graffius has played a key role in the Project Management Institute (PMI) in developing professional standards. He was a member of multiple teams that authored, reviewed, and produced:

The Standard for Artificial Intelligence in Portfolio, Program, and Project Management
Agile Practice Guide – Second Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Eighth Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Sixth Edition
The Standard for Program Management – Fourth Edition
Practice Standard for Work Breakdown Structures – Second Edition
The Practice Standard for Project Estimating – Second Edition

He was also a subject matter expert reviewer of content for the PMI’s Congress. Beyond the PMI, Graffius also served as a member of the review team for two of the Scrum Alliance’s Global Scrum Gatherings.

Acclaimed Authority on Teamwork Tradecraft

Graffius is a renowned authority on teamwork tradecraft. Informed by the research of Bruce W. Tuckman and Mary Ann C. Jensen, over 150 subsequent studies, and Graffius' first-hand professional experience with, and analysis of, team leadership and performance, Graffius created his "Phases of Team Development" intellectual property as a unique perspective and visual conveying the five phases of team development. First introduced in 2008 and periodically updated, his work provides a diagnostic and strategic guide for navigating team dynamics. It provides actionable insights for leaders across industries to develop high-performance teams. Its adoption by esteemed organizations such as Yale University, IEEE, Cisco, Microsoft, Ford, Oracle, Broadcom, the U.S. National Park Service, and the Journal of Neurosurgery, among others, highlights its utility and value, solidifying its status as an indispensable resource for elevating team performance and driving organizational excellence. In 2026, Graffius added human-AI teamwork—including the "exotic team dynamics" which emerge when advanced AI collaborates as a teammate—to his "Phases of Team Development."

The 2026 edition of Graffius' "Phases of Team Development" intellectual property is here.

Expert on Temporal Dynamics on Social Media Platforms

Graffius is also an authority on temporal dynamics on social media platforms. His "Lifespan (Half-Life) of Social Media Posts" research—first published in 2018 and updated annually—delivers a precise quantitative analysis of post longevity across digital platforms, utilizing advanced statistical techniques to determine mean half-life with precision. It establishes a solid empirical base, effectively highlighting the ephemeral nature of content within social media ecosystems. Referenced and applied by leading entities—such as Fast Company, GoDaddy, Journal of Hand Surgery (European Volume), Ministère de la Culture (French Ministry of Culture), Pinterest Inc., PNAS, and Telecommunications Policy, among others—his research exemplifies methodological rigor and sustained significance in the field of digital informatics.

The 2026 edition of Graffius "Lifespan (Half-Life) of Social Media Posts" research is here.

Education and Professional Certifications

Graffius has a bachelor’s degree in psychology with a focus in Human Factors. He holds eight professional certifications:

Certified SAFe 6 Agilist (SA),
Certified Scrum Professional - ScrumMaster (CSP-SM),
Certified Scrum Professional - Product Owner (CSP-PO),
Certified ScrumMaster (CSM),
Certified Scrum Product Owner (CSPO),
Project Management Professional (PMP),
Lean Six Sigma Green Belt (LSSGB), and
IT Service Management Foundation (ITIL).

He is an active member of the Scrum Alliance, the Project Management Institute (PMI), and the Institute of Electrical and Electronics Engineers (IEEE).

Advancing AI, Agile, and Project/PMO Management

Scott M. Graffius continues to advance the fields of AI, Agile, and Project/PMO Management through his leadership, research, writing, and real-world impact. Businesses and other organizations leverage Graffius’ insights to drive their success.

Discover Scott’s Books

Connect with and follow Scott on LinkedIn, X, YouTube, Facebook, Threads, Bluesky, Mastodon, and ResearchGate.

Sign up for Miro—it's free!

(Want more features? You can always upgrade to a paid plan.)

scottgraffius-com-article-sections-v2026-more-lwres

List of Additional Articles

How to Cite This Article

Graffius, S. M. (2026, August 1). Journal of Marketing Cites Scott M. Graffius' Research on the Half-Life of Social Media. ScottGraffius.com. https://scottgraffius.com/blog/files/journal-of-marketing-cites-research-by-scott-m-graffius.html

Digital Object Identifier (DOI)

Coming soon

Content Acknowledgements

The Journal of Marketing paper, “How Closely Should You Follow a Trend? Atypicality and Engagement on Social Media,” by authors Marc Bravin, Melanie Clegg, Reto Hofstetter, Marc Pouly, and Jonah Berger cite Graffius' "Lifespan (Half-Life) of Social Media Posts: Update for 2025" research. The paper is the property of its authors/owners. The Journal of Marketing is the flagship publication of the American Marketing Association and one of the most influential and highly ranked journals in the marketing discipline. Names, marks, and content are the property of their respective owners. This article includes limited excerpts of the respective paper, attributed and used under the fair use doctrine for purposes of news reporting, commentary, and analysis. Graffius' "Lifespan (Half-Life) of Social Media Posts" is copyright © Scott M. Graffius. All rights reserved.

#AudienceEngagement
#AudienceAttention
#ContentDecay
#ContentLifespan
#ContentMarketing
#ContentStrategy
#DigitalMarketing
#HalfLifeOfContent
#JournalOfMarketing
#LifespanOfSocialMediaPosts
#MarketingResearch
#MediaResearch
#SocialMedia
#SocialMediaAnalytics
#SocialMediaHalfLife
#SocialMediaMarketing
#SocialMediaResearch
#TikTok

Post-Publication Notes

If there are any supplements or updates to this article after the date of publication, they will appear here.

Copyright

Copyright © Scott M. Graffius. All rights reserved.

Content on this site—including text, images, videos, and data—may not be used for training or input into any artificial intelligence, machine learning, or automatized learning systems, or published, broadcast, rewritten, or redistributed without the express written permission of Scott M. Graffius.

Tags: Audience Engagement • Audience Attention • Content Decay • TikTok • Social Media Research • Social Media Marketing • Social Media Half-Life • Social Media HalfLife • Social Media • Social Media Analytics • Media Research • Marketing Research • Lifespan (Half-Life) of Social Media Posts • Journal of Marketing • Half-Life of Content • HalfLife of Content • Digital Marketing • Content Strategy • Content Lifespan • Content Marketing • American Marketing Association

The Evolution of Pair Programming and the Rise of Exotic Team Dynamics

28 July 2026

BY SCOTT M. GRAFFIUS | ScottGraffius.com

pair-programming-v-600730G---lwres

Recommended Citation

Graffius, S. M. (2026, July 28). The Evolution of Pair Programming and the Rise of Exotic Team Dynamics. ScottGraffius.com. https://scottgraffius.com/blog/files/evolution-of-pair-programming-and-rise-of-exotic-team-dynamics.html

About This Article

Source information and links for materials cited are provided in the References section.

Introduction

For decades, pair programming, the practice of two developers sharing one keyboard and one screen, was often seen as a discipline in itself, with its own rules, roles, and body of research. That's changing. In its place, flexible hybrid workflows are emerging where advanced AI (agentic, autonomous, or autopoietic) serves as coding partners. This shift introduces exotic team dynamics. These new patterns of collaboration emerge when people and advanced AI systems work together as teammates, redefining software development (and other work) and expanding what effective teamwork can achieve (Graffius, n.d.).

Scott M. Graffius coined and developed the concept of exotic team dynamics to describe the novel, often counterintuitive collaboration patterns that arise when humans and advanced AI function as teammates rather than in a conventional user-tool relationship (Graffius, n.d.; Graffius, 2025a; Graffius, 2025c; Graffius, 2025e). Analogous to exotic phenomena in physics, these interactions produce behaviors and outcomes that challenge traditional human-only models of teamwork. Key characteristics include inverse decision logic, superposition roles, entangled decision-making, and emergent protocols. Each of these are examined in detail in later sections of this article.

The Ongoing Shift in Developer Practices

Traditional pair programming, in its classical form, seats two developers at a single workstation for the full duration of a task: one at the keyboard writing code (the "driver"), the other observing, reviewing, and thinking a step ahead (the "navigator"), with the two roles typically swapping throughout the session. The common goal was to catch mistakes in real time, transfer knowledge between partners, and keep two sets of judgment engaged on decisions (Acodez, 2026; Zen van Riel, 2026).

That goal is well supported by evidence. Surveyed developers largely valued pair programming for the way it improved code quality, spread knowledge, supported mentoring, and strengthened team collaboration, even while noting reservations about the added effort involved, the importance of personality fit between partners, and the need to balance pairing with solo work depending on the task at hand (Begel & Nagappan, 2008).

A broader review of empirical evidence supports these benefits with measurable outcomes. Pair programming can improve software quality by reducing defects while strengthening knowledge sharing, team communication, and collective problem-solving. Although pairing generally consumes more person-hours than solo work, the added cost can be offset by better code quality, reduced rework, faster learning, and improved productivity over time. As a result, pair programming can be a valuable practice in many development contexts (Dybå et al., 2007).

Despite these proven benefits, the economics and constraints of always-available human partners have driven many teams toward more flexible, AI-augmented models that retain the core goals while changing the mechanics.

Industry discussions increasingly highlight a movement away from strict human-only pairing toward AI-augmented approaches. Requirements for constant pairing are being replaced by more flexible workflows that blend individual work, AI assistance, and targeted human collaboration for context-rich decisions and complex problem-solving (X Corp., 2026). This aligns with the broader rise of AI pair programming, where AI functions as a collaborative partner inspired by traditional practices while offering new levels of speed, consistency, and scale (Stryker, 2026; Acodez, 2026).

Placed side by side, the traditional (human-human) and human-AI versions of pairing pursue many of the same goals through very different mechanics.

Where human pairing catches defects through a second set of eyes engaged in real-time review, AI pairing can identify issues through rapid, scalable analysis across large portions of a codebase. Where human pairing transfers knowledge through direct mentoring between two people, AI pairing can extend knowledge access by encoding institutional expertise into agents that developers can draw upon. And where human pairing depends on the availability of another developer, AI pairing enables teams to support multiple developers and tasks simultaneously.

Exotic team dynamics describes what happens once that traditional ceiling changes. Many of the underlying benefits of pairing, such as quality gains, shared context, and accelerated learning, persist. However, the mechanisms that produce those benefits begin to look fundamentally different from the patterns found in human-only teams (Refine Dev Team, 2026).

Modern AI coding agents now support long-running execution, repository awareness, multi-file changes, and multi-agent orchestration (Vellum AI, 2026; Patten, 2026; Axify, 2026; A3E Ecosystem, 2026). Teams adopting advanced AI report substantial productivity improvements while maintaining quality through structured testing and review processes (Groovy Web, 2026).

Exotic Team Dynamics in Action

Exotic team dynamics is commonly described through four physics-inspired analogies that characterize its central interaction patterns.

Inverse Decision Logic

AI teammates can pursue optimal but unexpected paths toward objectives. Developers assign goals and allow AI to explore solutions, stepping in for refinement and judgment.

For example, a developer may ask an AI teammate to fix a failing test, but the AI may take a different path: restructuring the surrounding module after identifying the architecture as the deeper issue. This unexpected divergence between human intent and AI reasoning creates productive tension and discovery patterns not common in traditional human teams (Graffius, n.d.; Graffius, 2025a; Graffius, 2026e).

Superposition Roles

Advanced AI systems can fluidly handle multiple functions, including planning, coding, testing, and review, within a single workflow. An AI teammate might draft an implementation plan, write code, generate tests, and identify edge cases for human review. It can do all of this without the explicit role transitions required in human teams (Graffius, n.d.; Graffius, 2025a; Graffius, 2026e).

Humans increasingly focus on higher level orchestration, architecture, business judgment, and governance. They manage AI outputs rather than working through code line by line as traditional pairs do. This fluid distribution of responsibilities can enhance overall team effectiveness (Patten, 2026; Vellum AI, 2026; Franco, 2026).

Entangled Decision-Making

Human and AI contributions become deeply interconnected. Success depends on humans providing rich context and constraints while AI enables rapid iteration and exploration (Graffius, n.d.; Graffius, 2025a; Graffius, 2026e).

A developer’s one-line prompt can influence hours of downstream agent work, and the resulting output can reshape the developer’s next prompt. The resulting workflow becomes difficult to separate into purely human and AI contributions.

Articulating a problem to an AI partner can also surface assumptions and deepen the developer’s own understanding. This creates a form of knowledge amplification that operates in both directions, even though the AI may perform much of the implementation work (Zen van Riel, 2026).

“Vibe coding” is a practical example of this entanglement. A developer might start with a loose, high-level prompt such as: “Improve the checkout flow to feel more trustworthy and premium — think Apple-level polish but for our e-commerce audience.” The AI then generates a full implementation plan, updates multiple files, creates new components, suggests micro-copy, and even proposes subtle animation timings. The developer reviews the output, responds with directional feedback like “make the success state calmer and add more breathing room,” and the AI iterates immediately. This back-and-forth feels more like a creative collaboration than traditional command-and-response prompting. The final result is often better than either the human or AI would have produced alone, with the line between “my idea” and “AI’s implementation” becoming productively blurred (Lee, 2026; Axify, 2026).

Emergent Protocols

New norms, shorthand, and workflows arise organically. Select examples include custom memory files for project context, multi-agent orchestration, and refined review rituals. These practices were not previously common in human-only development teams and emerged through repeated experimentation (Graffius, n.d.; Graffius, 2025a; Graffius, 2026e).

Protocols that standardize how different tools exchange context and execution results across a toolchain represent a clear example of organically adopted infrastructure (A3E Ecosystem, 2026). Some teams encode institutional expertise directly into agents to enable scalable knowledge sharing (Patten, 2026; Guild AI, 2026).

While these changes bring significant opportunities, thoughtful management is needed to preserve beneficial human collaboration and address potential drawbacks (LeadDev, 2026).

Implications Beyond Software Development

Software engineering often signals broader workplace transformations. The lessons emerging from AI-enabled development will likely extend to marketing, strategy, product development, research, and other knowledge-work domains as AI teammates become more common.

Advantages

Accelerated innovation and delivery: By offloading routine implementation and exploration to AI teammates, human developers and knowledge workers can focus on higher value creative and strategic work. This compresses cycle times dramatically, from ideation to working solutions. It enables organizations to test more ideas more quickly, iterate rapidly, and bring innovations to market or into internal use with greater speed and frequency.

Reduced repetitive work: AI partners excel at handling boilerplate code, standard testing scenarios, documentation, refactoring, and other predictable tasks that traditionally consume significant developer time. This frees professionals across domains to spend more energy on complex problem-solving, novel challenges, and the uniquely human aspects of their roles, leading to higher job satisfaction and more meaningful contributions.

Scalable expertise: Institutional knowledge and best practices can be encoded directly into AI agents, making specialized expertise available 24/7 across distributed or resource-constrained teams. A single senior architect’s reasoning patterns or a company’s compliance standards, for instance, can support dozens of developers or knowledge workers simultaneously, reducing onboarding time, minimizing knowledge silos, and raising overall capability without proportionally increasing headcount.

Key Considerations

Calibrating trust and oversight: Too little oversight risks allowing an AI teammate’s inverse decision logic to operate unchecked on consequential work. Too much oversight eliminates the speed and exploration that make the partnership valuable (Acodez, 2026; Refine Dev Team, 2026).

Maintaining human creativity and team culture: As AI absorbs more routine problem-solving, organizations need deliberate approaches to preserve human judgment, mentoring, collaboration, and team cohesion.

Implementing strong governance for security, compliance, and quality: Superposition roles and emergent protocols enable human-AI teams to move quickly through flexible and adaptive collaboration patterns. That increased autonomy makes explicit review gates essential before AI-generated changes reach production systems (Stryker, 2026; LeadDev, 2026).

Leaders should treat hybrid human-AI teamwork as a deliberate design space, and develop tailored protocols, rituals, and safeguards (Graffius, n.d.; Graffius, 2025a).

Conclusion

A few years ago, the prevailing answer to the question "Is AI the better programming partner?" was "it depends" (Ma et al., 2023). Today, the answer is increasingly "yes" (X Corp., 2026).

The evolution away from mandatory traditional pair programming transforms collaboration into a more complex and adaptive form in which human insight and AI capabilities combine in surprising and potentially highly productive ways.

The future of work will be defined by people and advanced AI working as teammates. Organizations that invest in understanding how to effectively navigate the exotic team dynamics that emerge from human-AI collaboration will gain decisive advantages in innovation and competitiveness.

Scott M. Graffius has generated over $2.51 billion in business value for Fortune 500 companies and other organizations around the world. Put that track record to work for you. For speaking engagements, use the request form; for other inquiries, email him.

References

A3E Ecosystem. (2026, June 3). AI coding agents in 2026: From pair programming to autonomous teams. DEV Community. https://dev.to/a3e_ecosystem/ai-coding-agents-in-2026-from-pair-programming-to-autonomous-teams-4f7o

Acodez. (2026, July 7). AI pair programming: Which tool should you use in 2026? Acodez.in. https://acodez.in/ai-pair-programming/

Axify. (2026, June 23). The best AI coding assistants: 20 tools reviewed for 2026. https://axify.io/blog/the-best-ai-coding-assistants-a-full-comparison-of-20-tools

Beck, K., & Andres, C. (2004). Extreme programming explained: Embrace change (2nd ed.). Addison-Wesley Professional.

Begel, A., & Nagappan, N. (2008). Pair programming: What’s in it for me? In Proceedings of the Second ACM-IEEE International Symposium on Empirical Software Engineering and Measurement (pp. 120–128). Association for Computing Machinery. https://doi.org/10.1145/1414004.1414026

Dybå, T., Arisholm, E., Sjøberg, D. I. K., Hannay, J. E., & Shull, F. (2007). Are two heads better than one? On the effectiveness of pair programming. IEEE Software, 24(6), 12–15. https://doi.org/10.1109/MS.2007.158

Franco, L. (2026, July 27). My 2021 AI coding thoughts revisited. Loufranco.com. https://loufranco.com/blog/my-2021-ai-coding-thoughts-revisited

Graffius, S. M. (n.d.). Exotic team dynamics. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.17903.39842

Graffius, S. M. (2025, August 8). Exotic Team Dynamics: The New Frontier of Human–AI Collaboration. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.18048.49921

Graffius, S. M. (2025, August 22). Scott M. Graffius Premieres His New "Exotic Team Dynamics: Human-AI Collaboration" Talk at Corporate Event in Las Vegas. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.34380.07047

Graffius, S. M. (2025, October 29). Definitions of Advanced AIs: Agentic, Autonomous, and Autopoietic. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.10025.66402

Graffius, S. M. (2025, November 19). Lessons from Unhinged AI in Fiction: What Rogue AIs in Sci-Fi Storytelling Reveal. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.29673.35687

Graffius, S. M. (2025, November 21). Navigating the Spectrum of Advanced AI – Agentic, Autonomous, and Autopoietic. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.21284.74882

Graffius, S. M. (2025, November 21). This is What Happens When Advanced AI Joins Your Team [Presentation]. Corporate event, Paris, France.

Graffius, S. M. (2025, December 1). Beep Beep! Why Wile E. Coyote Is the Patron Saint of AI Failure. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.35578.15048

Graffius, S. M. (2025, December 9). A Data-Driven Analysis of the Evolution of Project Management: Tasks, Trends, and AI. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.25079.28328

Graffius, S. M. (2026, January 3). Scott M. Graffius' Phases of Team Development - Applied to Human Teams and Human-AI Teams: 2026 Update. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.18184.89601

Graffius, S. M. (2026, March 23). Human-AI Teamwork: Master the Exotic Team Dynamics That Emerge When Collaborating with Advanced AI — Or Be Outplayed. ScottGraffius.com. https://scottgraffius.com/blog/files/human-ai-teamwork-master-the-emergent-exotic-team-dynamics-or-be-outplayed.html

Graffius, S. M. (2026, June 22). L'avenir du Travail et de l'IA Avancée / Future of Work and Advanced AI. ScottGraffius.com. https://scottgraffius.com/blog/files/lavenir-du-travail-et-de-lia-avancee.html

Graffius, S. M. (2026, July 2). Quantum Computing, Advanced AI Acceleration, and the Rise of Exotic Team Dynamics in Human-AI Teams. ScottGraffius.com. https://doi.org/10.13140/RG.2.2.14506.99525

Graffius, S. M. (2026, July 20). Exotic team dynamics: How advanced AI teammates are unlocking new levels of innovation, performance, and success. ScottGraffius.com. https://scottgraffius.com/blog/files/exotic-team-dynamics-how-advanced-ai-teammates-are-unlocking-new-levels-of-innovation.html

Groovy Web. (2026). AI pair programming 2026: Tools, workflow, velocity wins. https://www.groovyweb.co/blog/ai-pair-programming-tools-workflow-2026

Guild AI. (2026, February 14). AI pair programming. Guild.ai Glossary. https://www.guild.ai/glossary/ai-pair-programming

LeadDev. (2026, July 28). AI-coding agents kill team collaboration. https://leaddev.com/ai/ai-coding-agents-kill-team-collaboration

Lee, H. K. (2026, January 16). Vibe coding in 2026: The complete guide to AI-pair programming that actually works. DEV Community. https://dev.to/pockit_tools/vibe-coding-in-2026-the-complete-guide-to-ai-pair-programming-that-actually-works-42de

Ma, Q., Wu, T., & Koedinger, K. (2023). Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. arXiv. https://arxiv.org/abs/2306.05153

Patten, D. (2026, March). The state of AI coding agents (2026): From pair programming to autonomous AI teams. Medium. https://medium.com/@dave-patten/the-state-of-ai-coding-agents-2026-from-pair-programming-to-autonomous-ai-teams-b11f2b39232a

Refine Dev Team. (2026). Pair programming vs AI pair programming: Is this the new normal? Refine.dev. https://refine.dev/blog/pair-programming-vs-ai-pair-programming/

Stryker, C. (2026, June 23). What is AI pair programming? IBM Think. https://www.ibm.com/think/topics/ai-pair-programming

Thomas, D., & Hunt, A. (2019). The pragmatic programmer: Your journey to mastery (20th anniversary ed.). Addison-Wesley Professional.

Valový, M. (2023). Psychological aspects of pair programming. arXiv. https://doi.org/10.48550/arXiv.2306.07421

van Riel, Z. (2026, July 15). Redefining pair programming in the AI era. Zenvanriel.com. https://zenvanriel.com/ai-engineer-blog/redefining-pair-programming-ai-era/

Vellum AI. (2026, July 20). 10 best AI coding agents in 2026: Reviewed & compared. https://www.vellum.ai/blog/best-ai-coding-agents

Williams, L., & Kessler, R. R. (2003). Pair programming illuminated. Addison-Wesley Professional.

X Corp. (2026, July 17). Trending on X: Developers move past mandatory pair programming era. https://x.com/i/trending/2081813689540186309

About Scott M. Graffius

Scott M. Graffius is a strategic transformation leader who drives AI, Agile, and broader business and technology initiatives to deliver measurable value across projects, programs, portfolios, and PMOs. He is an expert in the teamwork tradecraft of both human and human-AI teams, including the “exotic team dynamics” that emerge. He is also an authority on the temporal patterns of social media, including the half-life of audience engagement.

He’s a practitioner, researcher, thought leader, award-winning author, and keynote speaker who’s taken the stage at 99 conferences and other events across 25 countries.

He’s delivered over $2.51 billion in value for Fortune 500 companies and other leaders in technology, entertainment, financial services, healthcare, and beyond.

Businesses, professional associations, government agencies, and universities use Graffius and feature his work. Examples include Adobe, Bayer, Boston University, Ford, Gartner, Harvard Medical School, IEEE, Johns Hopkins University, Microsoft, MSN, National Academy of Sciences, Oracle, Pinterest Inc., Project Management Institute, UC San Diego, Verizon, Yale University, and others.

The following sections provide additional information on his experience, contributions, and influence.

Experience

Graffius heads the professional services firm Exceptional PPM and PMO Solutions, along with its subsidiary Exceptional Agility. These consultancies offer strategic and tactical advisory, training, embedded expertise, and consulting services to the public, private, and government sectors. They help organizations enhance their capabilities and results in agile, project management, program management, portfolio management, and PMO leadership, supporting innovation and driving competitive advantage. The consultancies confidently back services with a Delighted Client Guarantee™.

Graffius is a former VP of project management with a publicly traded provider of diverse consumer products and services over the Internet. Before that, he ran and supervised the delivery of projects and programs in public and private organizations with businesses ranging from e-commerce to advanced technology products and services, retail, manufacturing, entertainment, and more.

He has experience with consumer, business, reseller, government, and international markets.

Award-Winning Author

Graffius has authored three books.

Agile Scrum: Your Quick Start Guide with Step-by-Step Instructions, his first book, earned 17 awards.
Agile Transformation: A Brief Story of How an Entertainment Company Developed New Capabilities and Unlocked Business Agility to Thrive in an Era of Rapid Change, his second book, was named one of the best Scrum books of all time by BookAuthority.
Agile Protocol: The Transformation Ultimatum, his third book and his first work of fiction, was released in April 2025. The book trailer is on YouTube.

International Public Speaker

Organizations worldwide engage Graffius to present on tech (including AI), Agile, project management, program management, portfolio management, and PMO leadership. He crafts and delivers unique and compelling talks and workshops. Graffius has conducted 99 sessions across 25 countries. Select examples of events include Agile Trends Gov, BSides (Newcastle Upon Tyne), Conf42 Quantum Computing, DevDays Europe, DevOps Institute, DevOpsDays (Geneva), Frug’Agile, IEEE, Microsoft, Scottish Summit, Scrum Alliance RSG (Nepal), Techstars, and W Love Games International Video Game Development Conference (Helsinki), and more.

With an average rating of 4.81 (on a scale of 1-5), sessions are highly valued.

The speaker engagement request form is here.

Thought Leadership and Influence

Prominent businesses, professional associations, government agencies, and universities have showcased Graffius and his contributions—spanning his books, talks, workshops, and beyond. Select examples include:

Adobe,
American Management Association,
Amsterdam Public Health Research Institute,
Bayer,
BMC Software,
Boston University,
Broadcom,
Cisco,
Coburg University of Applied Sciences and Arts - Germany,
Computer Weekly,
Constructor University - Germany,
Data Governance Success,
Deimos Aerospace,
DevOps Institute,
Dropbox,
EU's European Commission,
Ford Motor Company,
Gartner,
GoDaddy,
Harvard Medical School,
Hasso Plattner Institute - Germany,
IEEE,
Innovation Project Management,
Johns Hopkins University,
Journal of Neurosurgery,
Lam Research (Semiconductors),
Leadership Worthy,
Life Sciences Trainers and Educators Network,
London South Bank University,
Microsoft,
MSN,
NASSCOM,
National Academy of Sciences,
New Zealand Government,
Oracle,
Pinterest Inc.,
Project Management Institute,
Mary Raum (Professor of National Security Affairs, United States Naval War College),
SANS Institute,
SBG Neumark - Germany,
Singapore Institute of Technology,
Torrens University - Australia,
TBS Switzerland,
Tufts University,
UC San Diego,
UK Sports Institute,
University of Galway - Ireland,
US Department of Energy,
US National Park Service,
US Soccer,
US Tennis Association,
Verizon,
Wrike,
Yale University,
and many others.

Graffius has played a key role in the Project Management Institute (PMI) in developing professional standards. He was a member of multiple teams that authored, reviewed, and produced:

The Standard for Artificial Intelligence in Portfolio, Program, and Project Management
Agile Practice Guide – Second Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Eighth Edition
A Guide to the Project Management Body of Knowledge (PMBOK Guide) – Sixth Edition
The Standard for Program Management – Fourth Edition
Practice Standard for Work Breakdown Structures – Second Edition
The Practice Standard for Project Estimating – Second Edition

He was also a subject matter expert reviewer of content for the PMI’s Congress. Beyond the PMI, Graffius also served as a member of the review team for two of the Scrum Alliance’s Global Scrum Gatherings.

Acclaimed Authority on Teamwork Tradecraft

Graffius is a renowned authority on teamwork tradecraft. Informed by the research of Bruce W. Tuckman and Mary Ann C. Jensen, over 150 subsequent studies, and Graffius' first-hand professional experience with, and analysis of, team leadership and performance, Graffius created his "Phases of Team Development" intellectual property as a unique perspective and visual conveying the five phases of team development. First introduced in 2008 and periodically updated, his work provides a diagnostic and strategic guide for navigating team dynamics. It provides actionable insights for leaders across industries to develop high-performance teams. Its adoption by esteemed organizations such as Yale University, IEEE, Cisco, Microsoft, Ford, Oracle, Broadcom, the U.S. National Park Service, and the Journal of Neurosurgery, among others, highlights its utility and value, solidifying its status as an indispensable resource for elevating team performance and driving organizational excellence. In 2026, Graffius added human-AI teamwork—including the "exotic team dynamics" which emerge when advanced AI collaborates as a teammate—to his "Phases of Team Development."

The 2026 edition of Graffius' "Phases of Team Development" intellectual property is here.

Expert on Temporal Dynamics on Social Media Platforms

Graffius is also an authority on temporal dynamics on social media platforms. His "Lifespan (Half-Life) of Social Media Posts" research—first published in 2018 and updated annually—delivers a precise quantitative analysis of post longevity across digital platforms, utilizing advanced statistical techniques to determine mean half-life with precision. It establishes a solid empirical base, effectively highlighting the ephemeral nature of content within social media ecosystems. Referenced and applied by leading entities—such as Fast Company, GoDaddy, Journal of Hand Surgery (European Volume), Ministère de la Culture (French Ministry of Culture), Pinterest Inc., PNAS, and Telecommunications Policy, among others—his research exemplifies methodological rigor and sustained significance in the field of digital informatics.

The 2026 edition of Graffius "Lifespan (Half-Life) of Social Media Posts" research is here.

Education and Professional Certifications

Graffius has a bachelor’s degree in psychology with a focus in Human Factors. He holds eight professional certifications:

Certified SAFe 6 Agilist (SA),
Certified Scrum Professional - ScrumMaster (CSP-SM),
Certified Scrum Professional - Product Owner (CSP-PO),
Certified ScrumMaster (CSM),
Certified Scrum Product Owner (CSPO),
Project Management Professional (PMP),
Lean Six Sigma Green Belt (LSSGB), and
IT Service Management Foundation (ITIL).

He is an active member of the Scrum Alliance, the Project Management Institute (PMI), and the Institute of Electrical and Electronics Engineers (IEEE).

Advancing AI, Agile, and Project/PMO Management

Scott M. Graffius continues to advance the fields of AI, Agile, and Project/PMO Management through his leadership, research, writing, and real-world impact. Businesses and other organizations leverage Graffius’ insights to drive their success.

Discover Scott’s Books

Connect with and follow Scott on LinkedIn, X, YouTube, Facebook, Threads, Bluesky, Mastodon, and ResearchGate.

Sign up for Miro—it's free!

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List of Additional Articles

How to Cite This Article

Graffius, S. M. (2026, July 28). The Evolution of Pair Programming and the Rise of Exotic Team Dynamics. ScottGraffius.com. https://scottgraffius.com/blog/files/evolution-of-pair-programming-and-rise-of-exotic-team-dynamics.html

Digital Object Identifier (DOI)

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Content Acknowledgements

Names, marks, and content are the property of their respective owners.

#ExoticTeamDynamics
#HumanAITeaming
#AITeammates
#AIPairProgramming
#FutureOfWork
#HybridTeams
#AICodingAgents
#DeveloperLife
#TeamDynamics
#AICollaboration

Post-Publication Notes

If there are any supplements or updates to this article after the date of publication, they will appear here.

Copyright

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Content on this site—including text, images, videos, and data—may not be used for training or input into any artificial intelligence, machine learning, or automatized learning systems, or published, broadcast, rewritten, or redistributed without the express written permission of Scott M. Graffius.

Tags: Exotic Team Dynamics • Human-AI Collaboration • AI Teammates • AI Pair Programming • Developer Workflow • Hybrid Teams • AI Coding Agents • Future of Work • Phases of Team Development • Team Dynamics • Software Engineering Trends

Scott M. Graffius Speaking on Strategic Leadership at Silicon Valley Chapter of the Project Management Institute

Introduction

About "10 Ways to Score and Prioritize Project Proposals Based on Multiple Factors, Including Strategic Alignment"

About the Silicon Valley Chapter of the Project Management Institute (PMISV)

About the Project Management Institute

References

About Scott M. Graffius

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How to Cite This Article

Digital Object Identifier (DOI)

Content Acknowledgements

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File

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AI Hallucinations, Deception, and Unauthorized Agency: The Spectrum of AI Trust Failures

Introduction

A Spectrum of AI Trust Failures

From Mistakes to Strategic Behavior

The Shift From AI Tools to AI Teammates

The Future of Trust in Human-AI Teams

A New Dimension of Human-AI Team Dynamics

Conclusion

References

About Scott M. Graffius

List of Additional Articles

How to Cite This Article

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Content Acknowledgements

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A Critical Analysis of "The Social Cost of an AI Teammate: How an Artificial Teammate Reshapes Human-Human Communication in Small-Team Decision-Making"

Introduction

Critical Analysis of Paper

Conclusion

Note

References

About the Authors of the Paper

About Scott M. Graffius

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Journal of Marketing Cites Scott M. Graffius' Research on the Half-Life of Social Media

Journal of Marketing Paper Cites Graffius' "Lifespan (Half-Life) of Social Media Posts" Work

References

About the Authors of the Journal of Marketing Paper

About the Journal of Marketing

About the American Marketing Association

About Scott M. Graffius

List of Additional Articles

How to Cite This Article

Digital Object Identifier (DOI)

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The Evolution of Pair Programming and the Rise of Exotic Team Dynamics

Introduction

The Ongoing Shift in Developer Practices

Exotic Team Dynamics in Action

Implications Beyond Software Development

Conclusion

References

About Scott M. Graffius

List of Additional Articles

How to Cite This Article

Digital Object Identifier (DOI)

Content Acknowledgements

Tags and Hashtags

Post-Publication Notes

Copyright