Artificial Intelligence
When Intelligence Becomes Abundant
For most of civilization, high-level cognitive ability was scarce. Our institutions were built around that scarcity. What happens when it ends?
Human Economy
The displacement conversation has focused almost entirely on income. The harder problem is participation.
Most serious proposals for an automated economy are proposals about money: transfers, credits, dividends, guaranteed incomes. They deserve attention, and some version of them may prove necessary.
But they answer only the first question. If machines perform a growing share of the work, how will people live? The second question is harder to legislate. What will people do?
Employment was never only a wage. It carried structure, colleagues, standing, obligation, development, and a plausible account of one's usefulness to strangers. Remove the wage and replace it, and those functions remain vacant.
A society capable of providing everyone an income could still fail humanity if millions of people no longer believe their presence matters.
The design problem, then, is not merely distributive. It is architectural: what forms of contribution will exist, who has access to them, and whether they are recognized. Care, teaching, craft, stewardship of places, mentorship, civic work, and the raising of children are not residual activities. In a period of abundant machine capability, they may be the load-bearing ones.
None of this is automatic, and none of it arrives by default. It has to be built.
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The future of humanity should not be decided only by the people building the machines.
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Artificial Intelligence
For most of civilization, high-level cognitive ability was scarce. Our institutions were built around that scarcity. What happens when it ends?
Human Worth
The most consequential mistake of the AI era would be a quiet one: allowing a measure of performance to become a measure of people.