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Thursday, October 1, 2026

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The $3T “hidden AI debt” number is not the story WSJ just put a headline on the shadow capex we’ve been tracking for a while. Purchase commitments + leases that have not started. Most of it never hits the balance sheet. The $3T is real. The interpretation is not. Add the explicit debt-like items on the books of $GOOGL $MSFT $META $AMZN and you get ~1.69x. Widen the definition to implicit / off-book instruments and it can balloon to 8.36x — approaching that $3T figure. That is the chart. It is not the economics. 1. Most of this is contract value, not a hard legal obligation to pay. A lot of it is pay-as-you-go. The commitments they actually have to fund already sit on the balance sheet. 2. The implicit load is shared. It is spread across financial players — private credit and equity — who are underwriting the build. Their IRRs are not insane. Current ROIC on this spend is still high. This is not a bubble from here. 3. AI ROIC can compress later. I would not be surprised. Near-term it is more likely to stay elevated or even rise. Compute is still short. Efficiency gains are raising, not lowering, the value of each incremental GPU-hour. 4. What the hyperscalers are actually doing: paying a bit more, accepting a slightly lower margin, and sharing a slice of the economics with investors who want the risk. That is risk offload, not hidden leverage. The cleaner setup is still the player that can keep building more capacity internally without leaning as hard on this structure. SpaceX is the extreme version of that. It also means more profit pass-through to the specialized GPU clouds sitting in the middle of this: $IREN $NBIS $CRWV and others. The $3T is a real number. Treating it as imminent balance-sheet stress is the wrong read. Pictures below are snapshots from our AI Bubble Barometer.
@convequity

Convequity on X

Agentic AI is changing the question for every SaaS name. The old one was “how big is the market?” The new one: when agents do the work, does the vendor get bypassed, survive as plumbing, or own the stack? We built a scorecard for that split — and ran the first three deep dives: • $PLTR — Route 3 ownership bet (ontology / multi−domain ops). Structure elite; valuation still has to earn it • $DDOG — Route 2 plumbing agents need. Host telemetry is hard to absorb casually; coding agents + first-party collect is the watch item. Multiple roughly fair • $NET — purest agent-volume rails. Unabsorbable network footprint; physics caps the model layer; ~40x prices in a lot Condensed public version below. Full Part 2 + series for Convequity subscribers.

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