Adam Tooze

Who he is

Davis Professor of History, Columbia; author of Crashed, Shutdown, The Deluge; writes Chartbook (Substack) at high frequency. One-line position: AI is a macro-financial event — a great capex cycle with energy, sovereign, and financial-stability stakes — not merely a technology story.

Discipline & technical bet

Macro-financial historian. Non-technical, and — notably — no personal technical bet: no building, no disclosed AI-tool practice, no tech equity thesis of his own (checked through Jul 2026). Weighting rule that follows: his capital-flow, energy, and history claims get full weight; any claim about what models can DO gets discounted — he reads balance sheets, not loss curves. He is the clean control case for this facet.

Key claims (Says)

• The AI capex supercycle is a macro event — ~$650B/yr ≈ 2% of US GDP (his Feb 2026 figure); comparable to railways, electrification, fiber.
• Three-bubble taxonomy (Foreign Policy, Feb 2026): metaverse-type (nobody wants it), railway-type (transforms the world, finance melts down anyway), airline-type (changes society, never makes money). Refuses to pick — the taxonomy IS the position.
• Energy is the binding physical constraint — grid, gigawatts, geopolitics.
• The revenue gap is the central question — investment vs AI-generated revenue determines which bubble type this is.
• AI is now inflationary infrastructure (Jul 2026): electronics PPI +27% (May), Apple hardware +20%, AI driving global trade flows; Korea’s $576B chip/AI program as sovereign exposure in action.

Notable predictions — with falsifiable checks

• Capex cycle produces macro consequences regardless of AI’s technical success. Check: AI capex share of GDP growth + AI items visible in PPI/trade data. Status Aug 2026: ALREADY CONFIRMING — his own Feb caveat (“not in the macro data yet”) was overtaken by his July data.
• Energy becomes binding. Check: data-center power contracts vs annual grid additions; utility capex ($1.4T US utility plans reported 2026). Trending Held.
• Buildout → bubble → correction pattern applies. Check: which taxonomy branch by end-2028 — capex-to-revenue ratio annually; a >30% AI-equity drawdown would grade the railway branch Held.

Revealed behavior (Does)

• Ships Chartbook relentlessly — his revealed bet is that synthesis-at-frequency is his edge; he monetizes interpretation, not positions.
• No known personal portfolio positioning on AI either way — diagnostician, not bettor. (Contrast Aschenbrenner, whose 13F IS his argument.)
• Steers Foreign Policy/mainstream audiences into capex-and-energy framing — moving the discourse is the action.

Feels

Fears watching another 2008 assemble in plain sight while consensus cheers; wants history to be operationally useful, not decorative. Wants to be the one who saw the financial architecture clearly.

Hears

Financial-history lineage (Kindleberger-school bubbles literature), FT/central-bank data circles, European political economy. Downstream of markets data, not of the labs.

Sees

Vantage: archives, macro datasets, finance-ministry and central-bank networks — he sees flows others miss. Blind side: has never seen a training run; inside-the-lab claims are hearsay to him.

Incentive map

Columbia chair = independence; Chartbook subscriptions reward credible-contrarian macro synthesis — mild drama gradient, offset by a reputation staked on calibration. No tech equity, no lab ties: unusually free to call a bubble. Cannot afford a botched macro call — his brand IS the track record.

Theories aligned with

• Financial history of technology buildouts
• Macro political economy of infrastructure
• Adjacent to Mazzucato (state investment) but diagnostic, not prescriptive

What he’s reacting against

• Tech-centric AI discourse that ignores capex, energy, and sovereign exposure
• The assumption the buildout is self-financing
• Both hype and dismissal argued from inside the tech bubble

Where he overlaps / splits (with Rich)

• Overlaps: picks-and-shovels/Engine-Room instincts — his capex-and-energy lens IS the infra half of the Barbell; energy-constraint realism; both-real-and-overhyped duality (kaleidoscope thinking).
• Splits: Tooze diagnoses from above; Rich builds from below at the presentation layer. Tooze has no account of what individuals DO with the technology — exactly the layer Rich creates in.
• Vs Zitron/Covello: same skepticism, centuries-deep register. Vs Smil: adds finance/geopolitics to the energy physics. Vs Nadella/Huang: history says transformative AND destructive can be simultaneous.

Track record

• Crashed (2018): the definitive 2008 account — proven at exactly this genre of analysis.
• Called the capex/energy framing early (2024) — by mid-2026 it is consensus vocabulary.
• Calibration credit: flagged in Feb 2026 that AI wasn’t in macro data “yet” — then published the data himself when it arrived (Jul 2026). Updates on evidence.

Empirical vs normative

Empirical: capex figures, PPI, trade flows, historical analogues — heavily sourced. Normative: mostly implicit — that exposure should be seen and distributional consequences named. Prescribes little.

Weak spots / open questions

• No technical floor: cannot independently evaluate capability claims that drive the revenue side of his own equation.
• Taxonomy without a pick: three scenarios cover nearly all outcomes — intellectually honest, but hard to be Wrong. Watch whether he ever commits.
• Historian’s hammer: every buildout looks like railways eventually; base-rate risk if AI’s revenue curve is genuinely faster.
• High-frequency publishing risks diluting the long-form authority that made Crashed.

Rich’s take

(your synthesis here)

Delta log

Sources

• Foreign Policy, 13 Feb 2026 — “Is This What an Economic Bubble Looks Like?” (three-bubble taxonomy; $650B ≈ 2% GDP)
• Chartbook, 1 Jul 2026 — AI-inflation: electronics PPI +27% May; Apple +20%; JPM trade data; Korea $576B
• BloombergNEF & utility-capex reporting, 2026 — buildout pace context
• Prior persona v1 (16 Jun 2026) — archived _archives/adam-tooze.html.bak-20260824