I'm More Addicted to This Than Nicotine | Ep. 279
12 March 2026

I'm More Addicted to This Than Nicotine | Ep. 279

Alfalfa Podcast

About

Are we heading toward a future where the government "nationalizes" AI models? In this episode, we explore the high-stakes intersection of defense, finance, and the "nationalization" risk facing frontier AI companies.


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From analyzing Anthropic’s latest research on job displacement to identifying the three "bear cases" for the current compute run, we break down how to stay ahead in an AI-driven economy. Plus, we reveal the specific "lullaby" audiobook that has the crew addicted to their sleep routines.


⚠️ NOTE: Due to technical difficulties during recording, this week’s episode is available in AUDIO ONLY format. We appreciate your patience as we get the video back online for the next one!


Timestamps:

00:00 - Alfalfa #279 Intro.

01:06 - Analysis Begins: The Nighttime "Lullaby" Addiction.

04:11 - The Stephen Fry Sherlock Holmes Sleep Hack.

08:34 - Top 25 Sci-Fi Audiobooks for Bedtime.

13:14 - ZBiotics Sponsor: The Pre-Alcohol Probiotic.

15:00 - Moving into the "Modern Era" of AI Workflows.

20:24 - Wealth Management vs. AI: What’s Actually Replaceable?

24:18 - Anthropic’s Research: Which Jobs are Safe?

32:53 - The "Token Budget" Theory of Employee Value.

35:02 - Case Study: Reducing Refund Rates with AI Agents.

51:26 - The Nationalization Play: Palantir, AWS, and the Government.

53:46 - Alex Karp vs. the "Hubris" of Frontier Model Companies.

01:06 - Data Centers in Space & The Future of Sky Visibility.

01:09 - The Three "Bear Cases" for the Compute Gold Rush.

01:11 - Is Private Credit the New Subprime Mortgage?


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Disclaimer: The views expressed by hosts, guests, and representatives don't reflect any associated institutions or organizations, and shouldn't be taken as financial or investment guidance. All information provided doesn't consider individual circumstances. We encourage independent legal, financial, and professional consultation before making decisions related to this content.