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IBM's AI Rollercoaster, Demis Calls for AI Watchdog, NY Pauses AI Data Centers | Diet TBPN

July 14, 2026

AI Summary

5 min read

IBM's AI Rollercoaster, Demis Calls for AI Watchdog, NY Pauses AI Data Centers

IBM's stock got absolutely hammered, down 25% in a single session—the biggest share drop in its 115-year history. The company reset the narrative around its server business specifically. For context, IBM had actually been a huge AI-era winner: the stock had basically doubled since the launch of ChatGPT. But the problem is straightforward: AI spending is currently flowing into GPUs, memory, networking, hyperscale cloud computing, and frontier model inference. IBM is not a major winner in those categories.

IBM's long arc and the mainframe reckoning

The hosts walked through IBM's history to explain why today's sell-off matters. IBM's foundational insight was simple: businesses will continually pay forever to automate record keeping. The mainframe business started in 1964 with System/360—a compatible family of devices you could upgrade piecemeal. IBM became dominant because it focused on high reliability, long customer relationships, and expensive switching costs. Proprietary software tied to hardware made it very difficult to leave.

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What you'll learn

  • 1 (00:00) **IBM Stock Drops 25% on AI Narrative Reset** - The stock falls sharply as IBM resets expectations around its server business, despite doubling since ChatGPT's launch.
  • 2 (01:01) **IBM's History: From Punch Cards to Mainframes** - A brief history of IBM's evolution from mechanical tabulating machines to the dominant mainframe supplier.
  • 3 (03:59) **IBM's Pivot to Services and Red Hat** - Under Lou Gerstner, IBM rejected breakup and became a systems integrator, leading to Global Services and large consulting contracts.
  • 4 (06:15) **Demis Hassabis Calls for US-Led AI Testing Body** - Google DeepMind CEO urges creation of a standards body to test frontier AI models for national security threats.
  • 5 (08:44) **Detailed Proposal for Frontier AI Regulation** - Hassabis outlines concrete steps: define benchmarks, require pre-release testing, and apply rules to foreign and open-source models.
  • 6 (13:48) **Debate on Regulation's Practical Impact** - Discussion on whether the proposal would help or hinder open-source AI and smaller labs.
  • 7 (17:49) **New York Pauses AI Data Center Construction** - Governor Kathy Hochul signs an executive order placing a one-year moratorium on new AI data centers in the state.

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Guests on this episode

Show Notes

Diet TBPN delivers the best of today’s TBPN episode in 30 minutes. TBPN is a live tech talk show hosted by John Coogan and Jordi Hays, streaming weekdays 11–2 PT on X and YouTube, with each episode posted to podcast platforms right after.


Described by The New York Times as “Silicon Valley’s newest obsession,” the show has recently featured Mark Zuckerberg, Sam Altman, Mark Cuban, and Satya Nadella.


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