The race between the lag and the runway.

01 · The question

Not "is it a bubble." Whether the math closes.

Michael Burry's 2008 call was never that houses were expensive. It was the math of the financing structure underneath them. The AI build-out deserves the same treatment, and the same refusal to argue about vibes. We are not bears shouting "bubble." We do the arithmetic the consensus is skipping, and we report what it says.

The arithmetic resolves to a single tension. The spending is enormous and immediate. The payoff is uncertain and lagged. So the question becomes a race: does the productivity arrive before the financing that funded it has to be repriced?

02 · Two clocks

The financing runway and the productivity lag.

Clock one — the runway. Can the spending survive? This is capital expenditure versus demand, circular financing, and depreciation that hasn't been honestly marked. The arithmetic of whether the capex is paid for by revenue that actually exists.

Clock two — the lag. Will the payoff arrive? Solow's computers took the better part of a decade to show up in the aggregate productivity statistics — "everywhere except the numbers." AI may earn its own lag-then-boom. Or the lag may outlast the money.

The bull case is a lag-then-boom. The fragility case is capex repriced before the payoff ever lands. No one else is timing both clocks. We can.

03 · Clock one — the money carousel

The money circles home.

Capital recirculates among a tight loop — Nvidia, the hyperscalers, OpenAI, Oracle, CoreWeave, Anthropic — where vendors finance the customers who buy their product. When a vendor finances its customer to buy the vendor's product, revenue and demand stop meaning what they appear to mean. The growth is real; what it measures is the open question.

04 · Clock one — the unmarked cost

The depreciation illusion.

Amazon shortened a subset of servers and networking from six years to five, effective Jan 1 2025, citing AI/ML obsolescence verbatim — a change cutting 2025 operating income by ~$0.7B. Separately, it took ~$920M of accelerated depreciation in Q4 2024 retiring AI-exposed gear early. That reversal is the canary: the first time a hyperscaler names AI to shorten asset lives, and it sits in a filed 10-K.

Meta extended useful life to about 5.5 years the same month — near −$2.9B of FY2025 depreciation, which flatters earnings. Microsoft, Google and Meta extended useful lives and held them; Amazon alone reversed, shortening for AI-exposed gear — the contrarian tell.

Stretch the assumed life and today's earnings look better than the cash can support. Michael Burry (Scion) estimates the understated depreciation near $176B across 2026–2028 — enough to flatter the very earnings base that justifies the capex. We carry it as his allegation: a disclosed short-seller's projection, not an audited figure. The canary, by contrast, is filed. Naming the difference is the point.

05 · Clock two — the demand problem

Record shipments, unproven payback.

The infrastructure layer is booking real, record revenue. The end-user layer, where the investment must ultimately be repaid, is not yet showing the productivity that would justify it. That is exactly the shape of a lag — and a lag is survivable only for as long as the financing holds. This is where clock two meets clock one.

06 · Convergence

One red light is noise. Four is a structure.

We score six indicators — depreciation integrity, capex-vs-demand, insider selling, circular financing, energy, and organic demand. Any one can be explained away. The signal is corroboration: when several light at once, the explanations have to start contradicting each other. They share a common driver (capex ahead of monetization), so we weight their agreement for that overlap rather than as fully independent votes. On the compute bellwether, four of six are elevated — not a coincidence you can narrate around.

The discipline cuts both ways. We deliberately hold two indicators — insider selling and energy — as contained, because forcing them red to fit the story would forfeit the only thing that makes the rest worth reading.

07 · The fork

Repriced, or propped.

Propping a structure never deletes the cost; it moves it. The operational tell is the transition itself — the moment market repricing gives way to administrative support. Watching for that handoff is part of the standing read.

08 · Falsifiers

What would prove us wrong.

A thesis that can't be killed isn't research, it's faith. Each pillar has an explicit exit. If these print, we revise — in public.

• Demand closes the gap. The MIT no-measurable-ROI rate falls below 60% for two consecutive quarters. The lag was real and the payoff arrived.
• Depreciation honesty spreads. Hyperscalers converge on shorter, marked useful lives and absorb the hit. The earnings base stops being flattered; the illusion self-corrects.
• The financing de-circularizes. External, end-customer revenue replaces vendor financing as the marginal dollar. Then the demand is genuine and the carousel was a phase, not a flaw.

The spending is certain. The payoff is lagged. Everything hangs on which clock finishes first.

This is a living document. Verified figures trace to primary filings; attributed estimates are named as such; unverified figures are flagged, not dressed up. As the data moves, so does the read.