Why an Ebook
AI moves faster than print publishing. By the time a hardcover manuscript reaches final production, the landscape it describes has already shifted. The ebook format lets me keep the content current and get it into the right hands without a 24-month publishing cycle standing in the way.
Why It's Free
I wrote this because the problem deserved a clear treatment, not because it was a revenue play. If you lead technology for a living, you should have access to a rigorous framework for thinking about AI and management without paying for it. That's the whole point.
What's Inside
AI is a management transformation. Not a technology one.
Most conversations about AI start with models, vendors, and speculation about future disruption. Inside organizations, those are rarely the source of confusion. The central challenge is not understanding what AI is. It is understanding what AI does to how a firm operates.
This book draws on nearly 15 years of advisory work alongside CIOs across Fortune 50 enterprises, mid-market companies, federal agencies, and venture-backed organizations. The patterns are consistent. The management response is learnable.
- 01
AI Is Not About Technology
Why the technology works but organizations don't behave differently, and what that actually means.
- 02
Adoption Starts in Secret
Why productivity improves at the individual level long before organizations recognize change is happening.
- 03
The Pilot Trap
Why most AI initiatives proliferate without scaling, and what the 5% that succeed do structurally differently.
- 04
Who Benefits First
Why smaller, flatter organizations absorb AI faster than large enterprises, and what to do about it at scale.
- 05–11
The AI Maturity Curve
A three-stage framework: Behavioral Adoption, Managerial Adoption, and Organizational Transformation, with the specific risks at each stage.
- 12–16
Leadership, Governance, Strategy
What changes about leadership style, talent, competitive advantage, and organizational design when intelligence becomes abundant.
- 17
The CIO's Responsibility
Redesigning authority in the age of abundant intelligence. A diagnostic for locating yourself on the maturity curve and acting accordingly.
Who It's For
Written for technology leaders and the executives who work alongside them.
Not a book for AI novices. Not a book for data scientists. A book for people making organizational decisions in the middle of a management transformation they didn't fully sign up for.
CIOs and CTOs
The primary audience. Leaders who have launched the pilots, reported to the board, and are still looking for a framework that explains why enterprise results lag individual productivity.
VPs and Directors of Technology
Senior IT leaders one level below the C-suite who are being asked to implement strategic direction without a clear organizational model for doing so.
CEOs and CFOs
Tech-literate executives who need an honest framework for evaluating AI investments, understanding what their technology leaders are telling them, and asking better questions.
Board Members and Audit Chairs
Leaders with governance accountability over technology risk who want a structured view of where AI creates organizational exposure and where it creates advantage.
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Delivered to your inbox. Written for love of the problem, not for a revenue line.