The AI trade might have found its canary in the coal mine. Leopold Aschenbrenner—a 25-year-old former OpenAI researcher built Situational Awareness into one of the hottest funds on Wall Street by betting long on the construction and infrastructure side of AI (Micron, CoreWeave) and short on the chips and software everyone else was chasing (Nvidia, Broadcom, Oracle). Then July happened, prime brokers made margin calls, and his entire public stock book got liquidated overnight in a single block trade. This episode uses that b...
The AI trade might have found its canary in the coal mine. Leopold Aschenbrenner—a 25-year-old former OpenAI researcher built Situational Awareness into one of the hottest funds on Wall Street by betting long on the construction and infrastructure side of AI (Micron, CoreWeave) and short on the chips and software everyone else was chasing (Nvidia, Broadcom, Oracle). Then July happened, prime brokers made margin calls, and his entire public stock book got liquidated overnight in a single block trade.
This episode uses that blowup as the lens for a much bigger story: how a three-quarters-of-a-trillion-dollar hyperscaler spending pledge is propping up U.S. GDP growth, why OpenAI just quietly cut prices as “tokenmaxxing” dies and Chinese labs undercut on cost, why Mark Zuckerberg picked a fight with OpenAI and Anthropic, how overleveraged Oracle has become, how the most profitable companies in the world are posting negative free cash flow, why hyperscaler bonds are going undersubscribed, and why the length of this year’s tech bond issuance is starting to crowd out the rest of the corporate debt market.
It closes with the 2008 parallel: mortgage-backed securities stacked into CDOs stacked into synthetic swaps, and how today’s version runs through corporate bonds, CLOs, hedge fund leverage, and private credit—with Treasuries as the eventual exit ramp when the unwind accelerates.
Resources
Analysis Atlas: Hyperscaler AI Capex 2026: The $710 Billion Year Inside the Four Spenders
J.P. Morgan Asset Management: How AI demand and capex shape investing in tech stocks
New York Times: U.S. Economy Slows as Inflation Bites
U.S. Bureau of Economic Analysis (BEA): GDP (Advance Estimate), 2nd Quarter 2026
CNBC: OpenAI cuts prices for two of its GPT-5.6 AI models as companies grow sensitive to costs
Business Insider: The All-You-Can-Eat AI Era Is Over. It’s Time to Count Calories
CNBC: Chinese AI models are gaining ground with U.S. companies as OpenAI, Anthropic costs surge
The New York Times: Even China’s A.I. Powerhouses Can’t Figure Out How to Profit Off A.I.
CNBC: Meta’s flurry of AI initiatives this month hasn’t helped lift the stock. What will?
The Hill: Zuckerberg knocks AI development centralization, control
Buttondown: D.A.D.: Zuckerberg Blasts Anthropic and OpenAI for “Centralizing” AI Power
Reuters: AI investment boom puts Big Tech’s free cash flow under pressure
CNBC: Bets against SpaceX grow to 32% of float as Elon Musk warns short sellers won’t survive
Yahoo! Finance: NVIDIA’s rising CDS the talk of Wall Street amid circular financing fears
Bloomberg: Big Tech Debt Flood Is Taking Over Risk In Market: Credit Weekly
CNBC: Fed meeting recap: Warsh says Fed won’t hesitate to stop inflation, but bond market has doubts
CNN: AI investor Leopold Aschenbrenner forced to unwind all public stock positions after steep losses, sources say
Yahoo! Finance: Hyperscalers Hit $700 Billion in 2026 AI Spending Plans - 24/7 Wall St.
Global Finance Magazine: AI’s Financial Circle Game
Reuters: Hyperscaler debt binge pushes yields up as investor demand cools
UNFTR Resources
Video: Situational Awareness: How a 25-Year-Old's Hedge Fund Exposed the Entire AI Bubble.
Essay: The Great Unwind.
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