The Pentagon Wants Equity in AI Startups | E2336

Watch on YouTube ↗  |  September 12, 2026 at 00:01  |  1:12:08  |  This Week in Startups
Speakers
Jason Calacanis — Angel Investor / Founder, LAUNCH
Tibo Louis-Lucas — Founder, T-Maker

Summary

Jason Calacanis and Lon discuss the Pentagon's reported plan to lend Fluidstack $5B and potentially take equity in AI startups, which Jason criticizes as government overreach. They also review Apple's new $1,999 foldable iPhone Duo and debate whether local AI and new product categories could drive Apple's next growth phase. Guest Tibo Louis-Lucas demonstrates how he runs seven companies with fewer than 10 people using AI agents and stacked $200/month AI subscriptions. The episode closes with an Off-Duty Friday segment on streaming shows and Robin Williams.

  • Pentagon reportedly in talks to lend Fluidstack $5B for AI infrastructure, possibly with equity; Jason criticizes government picking winners and competing with VC.
  • Jason argues any government equity in AI or tech companies, like Intel, creates conflicts and should require congressional debate.
  • Apple launched a $1,999 foldable iPhone Duo; Jason and Lon debate the price, utility, and whether it creates a new device category.
  • Jason is bullish on Apple's local AI opportunity if Siri becomes an open-source LLM and on-device AI drives high-RAM Mac demand.
  • Tibo Louis-Lucas shows AI agent workflows that automate content, affiliate outreach, and email updates, allowing a tiny team to run multiple products.
  • Tibo and Jason discuss stacking $200/month AI subscriptions, which Tibo says deliver thousands of dollars in token value, and Jason calls price dumping.
  • Jason is skeptical of reports that OpenAI may slow frontier AI development.
  • Off-Duty Friday covers Green Lantern, Dark Matter, and a Robin Williams biography.
Ideas
Jason Calacanis Angel Investor / Founder, LAUNCH 0:16
Apple can profit from local AI.
Jason is bullish on Apple's opportunity in on-device/local AI: if Siri becomes an open-source LLM and AI on the phone runs on local models, users could query photos and run agents securely on hardware, with encrypted cloud fallback. He expects this to drive demand for high-RAM Apple hardware like the Mac Studio and MacBook Pro and says that's where Apple can make a lot of money.
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