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Odd Lots: Henry Blodget on the Problem for OpenAI (Podcast)

Tracy Alloway, Joe Weisenthal
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⚡ Quantum Brief
AI market sentiment shifted dramatically in a year, from labeling major AI firms as overvalued to fearing their disruptive potential could obliterate legacy software businesses entirely. Former Wall Street analyst Henry Blodget, speaking at Brooklyn’s On Air festival in February 2026, dissects this polarization, questioning whether AI’s economic impact justifies extreme valuation swings. The debate centers on AI’s dual narrative: bubble fears versus transformative power, with software incumbents now facing existential threats from generative AI’s rapid advancement. Blodget’s analysis highlights the tension between AI’s theoretical promise and its unproven long-term profitability, leaving investors grappling with volatile market expectations. The discussion underscores AI’s paradox—its disruptive potential is undeniable, yet its financial sustainability remains speculative amid shifting investor confidence.
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A year ago, all of the talk was about how the big AI companies were wildly overvalued. Everyone was calling it a bubble. Fast forward to now, and a dominant idea in the markets is that AI is so powerful that all kinds of legacy businesses — particularly software — could go to zero. So where does the truth lie? And what now for AI valuations? On this episode, recorded live at the On Air podcast festival in Brooklyn on February 25, we catch up again with Henry Blodget, the former Wall Street analy

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