PERSON
Thomas Schelling
The Nobel laureate who transformed game theory from a mathematics of abstract equilibria into a science of how minds reckon with each other—and whose discoveries about focal points, credible commitment, emergent macrobehavior, and the threat that leaves something to chance turn out to describe the strategic age of artificial intelligence with eerie precision.
Thomas Schelling never met an artificial intelligence, and yet he may be the most useful guide we have to the world that AI is making. He was an economist who refused to stay inside economics, a strategist of nuclear war who hated war, a Nobel laureate whose deepest insights arrived not as theorems but as stories—two people meeting under a clock, two mountaineers roped at a cliff’s edge, a checkerboard slowly sorting itself into ghettos. He studied interdependent decision: the situation in which what I should do depends on what you will do, which depends in turn on what you think I will do. That recursion, the hall of mirrors at the heart of all strategy, is exactly the recursion we now build into silicon and set loose in markets, infrastructure, and war rooms. The coordination problem that drives two strangers to the
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