narrative-capex-feedback

Albert Bridge Capital 2026-05-04-1

'Til Death Do Us Part

Drew Dickson stacks four cycles (1840s UK railroads, 1870s US railroads, 1920s RCA, 1990s internet) and the drawdown receipts are unimpeachable: RCA -98% in three years, Cisco -90%, Amazon -95%, the entire Nasdaq -78%. The fresher data point is structural, not historical: the VanEck Semiconductor ETF moves $3B a day in flows, equal to the entire daily volume of the French stock market. The actionable read is not bull-versus-bear; it is that operational AI capability and AI equity prices are about to decouple for 12-24 months, and the buy list worth writing today is the application-layer companies positioned to inherit stranded compute at 20 cents on the dollar in 2029.

# tags

ai-bubble valuation behavioral-finance historical-analogy ai-capex-cycle market-volatility ai-economics fundamentals narrative-capex-feedback bubble-risk ai-1.0-defensibility albert-bridge-capital drew-dickson etf-flows capital-formation

The Atlantic 2026-05-02-2

So, About That AI Bubble

Anthropic's run rate doubled from $14B to $30B in two months, the METR study reversed from -20% to +20% developer productivity with current tooling, and some firms are now spending 10% of total engineering labor cost on AI subscriptions: the revenue story is no longer contested. The load-bearing extension claim, MIT's projection that AI completes 80-95% of white-collar tasks by 2029, rests on a linear extrapolation from two data points and an s-curve that doesn't bend. That's the overshoot zone: coding gains are real and documented; legal, marketing, and consulting at the same velocity is a 2027-2028 question, and the piece elides gross margins entirely, which remains the actual bear thesis.

# tags

ai-economics ai-bubble agentic-ai-viability anthropic claude-code ai-coding-tools ai-capex evaluation-infrastructure narrative-capex-feedback pilot-to-scale mythos the-atlantic white-collar-generalization consensus-migration

Wall Street Journal — Heard on the Street 2026-04-30-1

The Clock Is Ticking for Big Tech to Make AI Pay

The market split the hyperscalers 14 percentage points apart on April 29 — Google up 7, Meta down 7 — on essentially the same balance sheet shape, which means investors stopped pricing Big Tech capex as a single risk factor. The new metric is AI revenue per depreciation dollar, and Google's 16 billion tokens per minute disclosure is the template every other CFO copies by Q3. With $430B in annual depreciation projected within five years against $372B in combined net income last year, the companies that can't show that attachment quality will face structural margin compression, not a narrative problem.

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Microsoft Alphabet Google Meta Amazon SK Hynix Micron Samsung Visible Alpha Anat Ashkenazi Tesla

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