The Economic Implications of Learning by Doing - Kenneth Arrow (1962)

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Connections

Supports

Economic Paradoxes of AI - Ronnie Chatterji (OpenAI Chief Economist) Arrow's 1962 theory that learning happens only through active problem-solving underlies Chatterji's paradox that AI may reduce the on-the-job learning that builds expertise.

Challenged by

How This Was Made Arrow's 'learning by doing' predicts productivity gains naturally diffuse through an industry as experience accumulates, but the new item's Junto-based model suggests AI adoption momentum actively resists this diffusion, concentrating in peer networks rather than spreading through standard learning curves

Supported by

Why some people mow a lawn better than others Arrow's 'learning by doing' framework explains the core finding: skill variation in CPP performance reflects accumulated embodied practice, not just innate ability
Parametron The parametron exemplifies Arrow's 'learning by doing' thesis - Goto's invention spawned an entire Japanese computing ecosystem (PC-1 etc.), with knowledge accumulating through the act of building, exactly the mechanism Arrow's 1962 paper theorized
The Economics of Recursive Self-Improvement Arrow's 1962 'Learning by Doing' economics paper provides foundational theory for the feedback loops and returns-to-experience that the recursive self-improvement analysis explicitly builds upon

Type:	link
First published:	Monday, 1 June 2026 at 12:00 UTC
Location:	https://www.haverford.edu/sites/default/files/Arrow1962.pdf
URL:	https://mattwood.fyi/i/d46755b3