Standing on a terrace above Barcelona, Seth realized he had been losing power games for years without knowing he was playing. Chapter 14 reads Robert Greene's 48 Laws through an AI lens, applies Ivan Illich's distinction between convivial and manipulative tools to the question of whether AI strengthens or restructures your thinking, and examines the Harvard BCG study showing AI improved consultants by 40% on some tasks while making them 23% worse on others. Bastani's research proved the variable was interaction design: scaffolded questions improved learning by over 100%, while answer-first interaction cut it by nearly a fifth.
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1
Robert Greene, The 48 Laws of Power (1998)
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2
Ivan Illich, Tools for Conviviality (1973)
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3
Dell'Acqua et al., “Navigating the Jagged Technological Frontier” (Harvard Business School, 2023)
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4
Bastani et al., “The Effects of Generative AI on Learning” (PNAS, 2025)
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5
Pierre-Paul Grassé on stigmergy (1959)
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6
Shoshana Zuboff, The Age of Surveillance Capitalism (2019)
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7
Elinor Ostrom, Governing the Commons (1990)
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8
Norbert Wiener, The Human Use of Human Beings (1950)
Think of something you made with AI this week. An email, an analysis, a piece of writing, a plan. Ask yourself honestly: could you produce most of its quality alone?
If yes, the collaboration amplified you. The bicycle is working.
If no, it carried you. You have been riding in the car.
Now name one thinking skill you had before you started using AI regularly. Writing from scratch, finding a needle in a research haystack, decomposing a hard problem into pieces. Is it sharper now, or has it gone rusty? The answer tells you something worth sitting with before the next session.