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Fatal Abstraction

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AI is disrupting business faster than traditional strategy can adapt. Fatal Abstraction offers a bold framework—blending philosophy, mental models, and venture experience—to help leaders rethink st...
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  • 25 August 2026
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In an era where AI is accelerating disruption and uncertainty, traditional business strategy is dangerously outdated.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.

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Price: $27.99
Pages: 304
Publisher: Emerald Publishing Limited
Imprint: Emerald Publishing Limited
Publication Date: 25 August 2026
ISBN: 9781806868803
Format: Paperback
BISACs: BUSINESS & ECONOMICS / Strategic Planning, Business innovation, COMPUTERS / Networking / Intranets & Extranets, BUSINESS & ECONOMICS / Industrial Management, Sales and marketing, Information technology industries
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Michael Nichols, Independent Author, USA.

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