Paul Gibbons
- Paul Gibbons is an Irish-British public intellectual, author, and “practical philosopher” who bridges the gap between the abstract sciences and the messy reality of business.
- Best known for his work on culture, the human side of technology adoption, and the future of work, Paul’s career defies categorization—spanning computer science, biochemistry, investment banking, global consulting, and high-stakes poker.
Speaker Fee 🛈
Fee Range
$20,000 - $30,000
Virtual Fee:
$15,000 - $20,000
Travels From
Colorado
Allin On Intelligence Feb 2026 - What the 5% of firms generating huge returns from AI get right.
The $2 Trillion Build-Out: Why Most Companies Get It Wrong
Humanity’s Advantage: Coordination, Imagination, the Future of Work 2026 and Agents
Behavioral Science is the Key to Change Success Copenhagen 2020
How do you create an ethical culture? Storytelling at Shell, BP, and Microsoft
Paul Gibbons Speaker Biography
For over 30 years, Paul Gibbons has advised C-suite leaders and boards at major financial institutions on their most complex challenges: transforming organizations, leading through uncertainty, and now, navigating AI adoption with rigor and accountability.
His full-stack perspective is rare in advisory work. Most consultants choose a lane: markets and economics, or technology and algorithms, or human behavior and leadership. Paul operates across all three simultaneously—a combination rooted in his background as a derivatives expert and trader (markets and economics), technical depth in algorithms and modeling, and deep expertise in behavioral science and organizational transformation (where most change frictions live). He helps executives view the whole chessboard, seeing connections others miss.
The results speak for themselves. At KPMG, Paul transformed their corporate finance division from lowest to highest performing while trebling the volume of 8-figure transactions—a shift that required simultaneous change across strategy, operations, and culture. At Comcast, he coached a senior leadership team through a major transition to hybrid cloud and SaaS integration, ensuring technical transformation didn't outpace organizational readiness.
Today, as boards confront AI adoption, Paul brings that same full-stack rigor. He advises board members on AI strategy, helping them separate strategic signal from hype while building organizational and governance infrastructure for sustainable AI integration. His work combines evidence-based behavioral science, technical literacy, and market economics into actionable guidance for leaders who need to move beyond "silver bullet" solutions.
Author of eight books on organizational change, leadership, and now AI adoption, Paul's intellectual foundation spans molecular biology, economics, and organizational psychology. His current research focuses on AI literacy and organizational readiness for the overlapping revolutions in intelligence, markets, and work.
Why Leadership of AI is Different
• Target Audience: C-suite executives, boards, senior leadership teams
• Core Message: Most organizations approach AI adoption like previous technology
transitions — search and replace "cloud" with "AI." Leadership of AI requires fundamentally
different thinking about strategy, risk, and organizational capability.
Key Takeaways:
• Why traditional change management frameworks fail for AI adoption
• The three dimensions where AI leadership differs from cloud/SaaS leadership
• How to structure governance and decision-making for AI at the board and C-suite level
• Common pitfalls that drain value from AI investments
• Duration Options: 45 minutes, 60 minutes, 90 minutes (with Q&A)
Leaders Say "Culture Change." They Really Mean Behavioral Change. Here's
How Behavioral Science Delivers It
• Target Audience: HR leaders, organizational development teams, change leaders, C-suite
• Core Message: "Culture" is a vague concept. What organizations actually need is behavioral
change — and behavioral science gives us the tools to make it stick.
Key Takeaways:
• Why culture change initiatives fail (and why they're the wrong frame)
• The behavioral science framework that actually moves the needle
• How to diagnose which behaviors are blocking value creation
• Implementing behavior change at scale without resistance
• Duration Options: 45 minutes, 60 minutes, 90 minutes (with Q&A)
The Leadership Behaviors That Kill Innovation
• Target Audience: Innovation leaders, product teams, R&D, organizational leadership
• Core Message: Organizations invest millions in innovation infrastructure but unknowingly
kill it through leadership behaviors.
Key Takeaways:
• The five behaviors that systematically suppress innovation
• How to diagnose these behaviors in your organization
• Why traditional leadership training doesn't fix this
• Practical steps to build innovation-enabling cultures
• Duration Options: 45 minutes, 60 minutes, 90 minutes (with Q&A)
Hidden Geniuses: How AI Unlocks Performance at the Bottom of the Pyramid
• Target Audience: Organizational leaders, HR, talent development, innovation teams
• Core Message: AI adoption often concentrates value at the top while disrupting frontline
workers. Leading organizations are using AI to amplify the capabilities of frontline talent.
Key Takeaways:
• Why traditional AI adoption widens organizational inequality
• How leading firms use AI to amplify frontline capability
• The governance and leadership structures that make this work
• Implications for your AI adoption strategy
• Duration Options: 45 minutes, 60 minutes, 90 minutes (with Q&A)
How Leading Firms Deliver High-Double-Digit Performance Improvements
with AI
• Target Audience: CFOs, COOs, strategy teams, boards seeking ROI clarity
• Core Message: While most firms struggle to measure AI ROI, leading organizations are
delivering 15-30%+ performance improvements.
Key Takeaways:
• What leading firms measure (and why traditional metrics miss the real value)
• The organizational structures that unlock AI value
• How behavioral change enables technical implementation
• Building the business case for AI investment with rigor and confidence
• Duration Options: 45 minutes, 60 minutes, 90 minutes (with Q&A)
Why Adaptive Adoption Works Better Than Change Management for AI
• Target Audience: Change leaders, transformation offices, organizational leadership, boards
• Core Message: Change management frameworks were designed for predictable, sequential
change. AI adoption is neither.
Key Takeaways:
• Why change management frameworks fail for AI
• The seven pillars of Adaptive Adoption
• Building organizational resilience for continuous, non-linear change
• Governance models that enable adaptation without chaos
• Duration Options: 45 minutes, 60 minutes, 90 minutes (with Q&A)
