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AMZNGOOGLBEARISH

Zortix matched this thesis to Anthropic’s public holders (AMZN, GOOGL, NVDA, MSFT) as the exposure the bearish case argues against, most actionable for readers who already hold them. Stakes as disclosed or reported. Not a recommendation.

Where these come from — Anthropic’s exposure, as disclosed or reported
AMZNAmazon — $8.0bn of convertible notes (Q3 2023–Q4 2025), $5.0bn Series G and $5.0bn Series H nonvoting preferred (Q2 2026), plus a $20bn facility with $15bn undrawn; notes convert to nonvoting common at an IPO, subject to an ownership cap. · as of 30 Jun 2026 · Amazon 10-Q for the quarter ended 30 June 2026 (filed 2026-07-31)
GOOGLAlphabet — about 14% of the equity, non-voting, contractually capped at 15% (reported). Alphabet's own filings disclose only aggregate non-marketable equity securities. · as of Apr 2026 · Court filings as reported by The New York Times
NVDANvidia — commitment to invest up to $10bn (announced November 2025). · as of Nov 2025 · Nvidia 10-Q filed 2025-11-19
MSFTMicrosoft — commitment to invest up to $5bn (announced November 2025). · as of Nov 2025 · Company announcement, November 2025
AGIXKraneShares Public-Private AI & Technology ETF — reported 2.8% of the fund · as of 29 Jul 2026 · Fund holdings as reported
BAIiShares A.I. Innovation and Tech Active ETF — reported 0.42% of the fund · as of 30 Apr 2026 · Fund holdings as reported

Zero switching costs kill AI model moats

The guest argued that traditional business moats like intellectual property and customer lock-in are dead in the foundational AI model space, creating a brutally competitive market with near-zero switching costs.

Keep reading this one

You've read the thesis and who argued it. A free account opens the argument, what validates it, the risks the show raised, and the moment in the episode where it was said — 3 ideas in full a day, no card.

The Callback

Open source LLMs squeeze frontier lab margins

22 weeks between these two statements.

Then

The case was made that open-source AI models and agent frameworks represent the biggest competitive threat to large, centralized frontier model companies, potentially undercutting them and capturing the majority of token usage.

ALL-IN WITH CHAMATH, JASON, SACKS & FRIEDBERG · 10 APR 2026 · 08:45Open in Zortix →
Now

The guest argued that traditional business moats like intellectual property and customer lock-in are dead in the foundational AI model space, creating a brutally competitive market with near-zero switching costs.

MACROVOICES · 10 SEP 2026 · YESTERDAY · 54:02
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NOT INVESTMENT ADVICE · A SUMMARY OF WHAT WAS SAID ON THE PODCAST · VERIFY AGAINST THE SOURCE