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John Wiley & Sons Robot-Proof Cover A compelling story to expand the human's perspective on the new, unprecedented world of AI In Robot.. Product #: 978-1-394-39780-8 Regular price: $25.14 $25.14 In Stock

Robot-Proof

When Machines Have all the Answers, Build Better People

Ming, Vivienne

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1. Edition March 2026
288 Pages, Hardcover
Wiley & Sons Ltd

ISBN: 978-1-394-39780-8
John Wiley & Sons

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A compelling story to expand the human's perspective on the new, unprecedented world of AI

In Robot-Proof: When Machines Have All the Answers, Build Better People, Dr. Vivienne Ming, "a force in AI unlike any we have seen before" (Mark Minevich, Forbes), helps readers grasp the ugly and the amazing of how individuals, companies, and societies will respond to the changes that are already taking hold due to the advent of AI. Rather than a wonky textbook on machine learning or a utopian/dystopian (take your pick) screed, Robot-Proof is a book about people, exploring what it means to be human in an increasingly automated world.

This book presents, then answers, pressing questions that readers may or may not have thought to themselves, such as:

* What predicts long-term life outcomes across millions of little kids?

* What drives career success in both hyper-networked salespeople and hyper-nerdy programmers?

* Why is the Informational-Exploration Paradox the most terrifying phenomenon you've never heard of?

* What predicts the smartest team and how will AI change it?

* Why are ill-posed problems the future work, education, and a robot-proof humanity?

With poignant insight and delicate care to keep us grounded in the human perspective, Robot-Proof is an entertaining and thought-provoking read for all individuals seeking to understand the next steps in a new and completely unprecedented world.

Introduction: No Skill Is Robot- Proof ix

Chapter 1 The Future of Work 1

Chapter 2 The Coolest Job in the World 9

Chapter 3 What Is Intelligence? 19

Chapter 4 One GPU, One Vote 39

Chapter 5 Nothing Is Inevitable 53

Chapter 6 This Is Not the Industrial Revolution 67

Chapter 7 Deprofessionalization 95

Chapter 8 The Modern Spontaneous Creative 125

Chapter 9 Do Cyborgs Dream III- Posed Sheep? 139

Chapter 10 What Makes Us Robot- Proof ? 147

Chapter 11 How to Robot- Proof Your Kids 163

Chapter 12 How to Robot- Proof Yourself 177

Chapter 13 Innovating Innovation 191

Chapter 14 How to Robot- Proof a Community 201

Chapter 15 The Human Trust 217

Conclusion: Choose Your Future 227

References 229

Acknowledgments 259

About the Author 261

Index 263
"AI is at the top of the agenda for organizations, but Robot-Proof puts the focus back on the key differentiator: people, and the human capabilities required in an era of smarter technology. With intelligence, a mountain of evidence, and a fresh creative lens, Ming dismantles the lazy myths of the AI age and offers an essential survival guide for a world drowning in automation." Paul Daugherty, Former CTO, Accenture, and author of Human + Machine: Reimagining Work in the Age of AI

"With a beguiling combination of direct language and humor, Vivienne Ming dismantles the foundations of both utopian and dystopian AI myths. Robot-Proof offers a blueprint for turning artificial intelligence into augmentative intelligence and encourages us all to utilize that most essential of human skills--the ability to adapt in the face of a challenge." Paul Donovan, Chief Economist at UBS

"We're hearing a lot about what AI can do. Vivienne Ming shows us what humans can do, and why it matters. She brings the science and the story to a critical moment when the future of work will be defined not by technology, but by what we choose to do with it." Aneesh Raman, Chief Economic Opportunity Officer at LinkedIn
VIVIENNE MING, PHD, is a theoretical neuroscientist, entrepreneur, and self-described "professional mad scientist" who explores maximizing human capacity through the intersection of AI, neuroscience, and human potential. She is the co-founder and Executive Chair of The Human Trust, a nonprofit building AI foundation models to tackle problems ranging from individual disabilities to global economic inclusion. Her work has been featured in the Financial Times, The Atlantic, and The New York Times.