a16z Feature: The Simple Economics of Open versus Closed AI
sanjaykalra · x · 2026-08-12
a16z featured an in-depth essay by MIT economist Christian Catalini titled "Some Simple Economics of Open versus Closed AI." Drawing from 150 years of innovation history, the article explores who pays for the next training run and who keeps us safe if AI model weights are free.
Using historical data, the author points out that intellectual property mechanisms like patent systems do not change the overall level of innovation, but only shift inventors' attention. This pattern applies equally to the current debate over open-source AI.
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