Fatal Abstraction
Revolutionizing Strategy and Innovation for the Age of AI
This book can be opened with
Note on our eBooks and Audiobooks: you can read our eBooks (ePUB or PDF) and listen to audiobooks on the free Emerald Books app on iOS, Android, and desktop. Or read and listen on Emerald's online reader (ePUB eBooks and audiobooks only). To purchase a digital book you will need to create an account if you don’t already have one. After purchasing you will receive instructions on how to get started.
- Description
- Contents
- About
In an era where AI is accelerating disruption and uncertainty, traditional business strategy is dangerously outdated. While innovation professionals adapt rapidly, many established organisations remain stuck in slow, mechanistic planning cycles. Fatal Abstraction argues that to survive, leaders must learn to govern at the level of uncertainty they face—rethinking how strategy is conceived, executed, and evolved.
Drawing on philosophy, mental models, and first hand experience with hundreds of ventures, author Michael Nichols offers a bold framework for mastering disruption. This timely work equips entrepreneurs, executives, and investors with the tools to navigate AI-driven change, build resilient ventures, and revolutionise strategic thinking in the modern age.
Foreword; Dan Toma
- Preface; Mark Searle
- Fatal Abstraction
- Part 1. Strategy and Causal Models
- Chapter 1. The First Cause
- Chapter 2. But for the Rooster Crowing
- Part 2. Strategy and Uncertainty
- Chapter 3. The Die Is Cast
- Chapter 4. God Does Not Cast Dice
- Part 3. Emergent Systems and Disruption
- Chapter 5. A System unto Itself
- Chapter 6. A Kodak Moment
- Part 4. Strategy and Ambidexterity
- Chapter 7. Risk Is the Heart of Jazz
- Chapter 8. Just Buy It
- Chapter 9. Hard Cases Make Bad Law
- Part 5. Strategy and Experimentation
- Chapter 10. A Bayesian World
- Chapter 11. The Learning Organization
- Part 6. The Venture Model
- Chapter 12. Customer-Problem Fit
- Chapter 13. Customer-Solution Fit
- Chapter 14. Business-Model Fit
- Chapter 15. Organizational Fit
- Chapter 16. The Bayesian Organization
- De Profundis Ad Astra
Michael Nichols, Independent Author, USA.