Sources of Happiness in a Post-Economic World

We’ve written about the importance of rigorous foundational skills, generalizable intelligence, and learning how to learn in the age of AI. But consider a world where AI performs essentially all economically valuable labor, and our children no longer need to work for a living. What will make them happy?

Humans are evolutionarily wired to care about status and recognition. Henrich and Gil-White proposed that prestige evolved as a mechanism for identifying and learning from highly skilled individuals. Research on status as a fundamental human motive suggests that status is strongly associated with well-being and self-esteem. Even if economic productivity becomes irrelevant, humans will continue to seek achievement and respect from one another.

There are several categories of human achievement worth distinguishing.

The first is repeated, human-skill-based competition. Chess engines have been vastly superior to human players for decades, but Magnus Carlsen is still enormously respected. Cars are faster than Usain Bolt, but we still care about who is the fastest human runner. The prestige of these accomplishments comes from relative human performance, and is largely independent of machine capabilities. Chess, sports, math Olympiads, and other competitive games can continue providing an infinitely increasing bar for achievement.

The second is outcome-dependent achievement, including scientific discovery, mathematical research, and art. Here, AI poses a much greater threat to human prestige. If AI produces most new mathematical discoveries, the marginal value of a human mathematician’s discoveries will decline dramatically, even as human math Olympiad medals remain prestigious.

We’re already seeing this tension in mathematics. Following OpenAI’s release of hundreds of claimed mathematical breakthroughs, Scott Aaronson called the moment “The Mathocalypse.” Among the results was a claimed proof of the Unique Games Conjecture, which his wife Dana Moshkovitz had spent much of her career working toward. Alvaro Lozano-Robledo characterized the release as a potential hostile takeover of mathematics, while Levent Alpöge acknowledged the sadness of mathematicians whose research had been scooped.

Terence Tao raised a more fundamental concern: mathematical discoveries historically generated seminars, collaborations, new research directions, and entire communities. AI can produce the discoveries without generating the corresponding human activity.

These reactions expose a real problem with outcome-dependent achievement. The mathematicians spent decades cultivating extraordinary skills, only to see some of their most ambitious goals accomplished by machines. Society benefits from the resulting knowledge, but the mathematicians lose opportunities for personal achievement and recognition. This is a preview of what could happen across scientific and creative fields.

The third category is creation and community participation. Open-source developers have historically contributed substantial work without commensurate financial compensation. A study of open-source contributors found that enjoyment and creativity were major motivations. Contributors also earn reputation, develop relationships, and gain ownership over a collective project. Even if AI makes their economic marginal contributions negligible, these social benefits can persist.

These categories are consistent with self-determination theory, which identifies competence, autonomy, and relatedness as fundamental psychological needs. Human competition provides competence and status; creation provides autonomy; communities provide belonging.

For our children, we should deliberately cultivate multiple sources of happiness independent of economic productivity. Rigorous foundational skills remain important because competence expands the range of activities and communities a person can meaningfully participate in. Children should develop competitive interests, learn to create things, and participate in communities where they can earn the respect of peers.

Our current educational system is overwhelmingly organized around preparing children for economically productive careers. Professional success conveniently bundles income, intellectual challenge, status, and community into one activity. A post-economic world removes that organizing principle, but leaves the underlying human motivations intact.

Education should prepare children to pursue achievement, earn respect, and build communities for their own sake. These may become the most durable sources of happiness in a world where human labor is no longer necessary.