Authors Bruce Schneier and Nathan E Sanders argue that leading artificial intelligence labs like OpenAI and Anthropic are built on an unsustainable economic foundation plagued by high training costs, rapid depreciation, and steep open-source competition. If these for-profit companies face financial failure or market collapse, the authors propose that the United States government nationalize them. By converting these labs into publicly managed agencies and regulated utilities, the government could ensure that AI develops as a transparent, democratic public good focused on safety and societal benefit rather than corporate profit and artificial general intelligence hype.

Authors Bruce Schneier and Nathan E Sanders argue that leading artificial intelligence labs like OpenAI and Anthropic are built on an unsustainable economic foundation plagued by high training costs, rapid depreciation, and steep open-source competition. If these for-profit companies face financial failure or market collapse, the authors propose that the United States government nationalize them. By converting these labs into publicly managed agencies and regulated utilities, the government could ensure that AI develops as a transparent, democratic public good focused on safety and societal benefit rather than corporate profit and artificial general intelligence hype.