OpenAI Executives Urge AI Backstop, Casting a $100 Billion-Plus Boom as Too Big to Fail
Updated
Updated · The New York Times · Sep 26
OpenAI Executives Urge AI Backstop, Casting a $100 Billion-Plus Boom as Too Big to Fail
3 articles · Updated · The New York Times · Sep 26
Summary
Sarah Friar and Sam Altman argued over the past year that government guarantees or an “insurer of last resort” may be needed to keep AI financing flowing.
That framing treats AI like banks in 2008: an industry so economically central that taxpayers could be asked to absorb losses if private funding falters.
The argument collides with another message from leading AI firms and researchers—that the technology could pose severe societal risks and may need tighter restraint.
Competition with China sharpens the pressure to keep spending, the essay argues, creating a loop in which hundreds of billions already invested make the industry harder to slow or stop.
If tech giants fail to make AI profitable, will the government be forced to rescue the industry to maintain global dominance?
Are hidden financial structures secretly shifting the massive risks of the artificial intelligence arms race onto everyday consumers and utility ratepayers?