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Check out my new report with @openmarkets.bsky.social, “No Bailouts for Big Tech Billionaires: Policies for when the AI bubble bursts.” The title gives you a sense of its content. Available in audio/podcast form on Spotify, in addition to text!
“Unfortunately, the policymakers best-positioned to sound the alarm are ignoring the rapidly growing AI bubble because they are too distracted by Silicon Valley’s sci-fi-esque prophecies.”
In today's episode of, "I totally get why people are cynical about politics and see conspiracies everywhere." www.axios.com/2026/05/29/a...
1mo
13d
16d
How should we handle it when the AI bubble bursts? On the next MAIHT3k livestream, @matthewus.bsky.social joins me and @alexhanna.bsky.social to discuss how we can avoid bailing out billionaires. Monday, June 1, noon PT twitch.tv/dair_institute
17d
The most pressing AI-driven crisis is the overestimation of AI’s capabilities and impacts, which has produced a historically large speculative AI bubble. To safeguard against this economic catastrophe...
lpeproject.org
The Real AI Threat is the Bubble, not the Apocalypse
Eight of the 12 biggest outside spenders in House primaries fall into one of those three groups.
www.axios.com
How AI, crypto and AIPAC are ending political careers
Matt Scherer
Matt Scherer
Twitch account for The Distributed AI Research Institute (DAIR).
twitch.tv
Next week’s conference calls: May 26: Katie Van Dyck (@openmarkets.bsky.social) on sports media costs & antitrust May 28: Matthew Scherer (@econliberties.bsky.social) on AI spending & bubble risks May 29: Weekly Tech Policy Briefing Series 👉 RSVP: thecapitolforum.com/events/?utm_...
dair_institute - Twitch
Paris Marx
Emily M. Bender
24d
And remember, this is what Wall Street execs think of their *own* workers... --------- "At Standard Chartered Plc, CEO Bill Winters said Tuesday he’s replacing 'lower-value human capital' with financial and technology capital to cut 8,000 support roles over the next four years... [1/2]
That is bad for multiple reasons, not least that it means policymakers are not paying attention to the growing threat from the AI bubble, which has grown so big that it could bring down the economy if/when it bursts. Policymakers need to recalibrate and push back on AI hype before it's too late.