Banning Open Source AI Would Be A Mistake

June 19, 2026 | Source: Interconnects (Nathan Lambert)

Tags: Nathan Lambert, Kevin Xu, open-source AI, AI regulation, US AI policy, Anthropic

Nathan Lambert and Kevin Xu argue against US regulatory moves that could restrict open source AI, citing over $8T in economic value already generated by open source software and its role in education, competition, and innovation as Washington heats up on AI regulation.

Details

The op-ed, self-published after mainstream outlets declined to run it, arrives as US AI regulation enters an active phase: an executive order mandating review of AI models, congressional proposals to legislate AI further, and a prohibition on foreign nationals accessing Anthropic's most advanced models. Lambert and Xu argue open source AI must not be caught in this regulatory crossfire. They trace open source to MIT's 1983 free software movement and note that 90%+ of the world's software already runs on open source, generating over $8T in economic value before generative AI arrived. Their case rests on three pillars: open source enables affordable technical education by removing corporate gatekeeping, drives competition by reducing dependence on large incumbents, and accelerates innovation by giving anyone free tools and a community to build with. The piece is advocacy, not peer-reviewed research, so its statistics are presented rather than independently verified. Worth tracking if you follow AI policy debates in Washington — concrete regulatory actions are already under way and more appear likely.