AI Ledger Hepburn Advisory Hepburn Advisory

Compute Ledger

Hyperscaler AI cloud, neocloud GPU rental, frontier-API hosting — what compute providers are earning from AI. Decomposed into three segments: Frontier lab compute, AI workload compute, and Hosted model APIs.

Data refreshed: · last quarter: 2026Q1

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2025 lookback · post-Copilot · ecosystem-wide compute revenue · cite-able to 10-Qs

Frontier lab compute

How much frontier model labs (OpenAI, Anthropic, Mistral, others) paid external compute providers in 2025.

Distribution of AI Compute Revenue

Provider share of compute revenue. Default: most-recent quarter (gross-disclosed). Toggle: 4-quarter trend, year-over-year shift.

AI Ledger · Hepburn Advisory
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Quarterly Trajectory

Q1 2025 → Q1 2026, one line per major seller. 2025 calendar = sum-of-quarterlies basis; Q1 2026 anchored at disclosed run-rates ÷ 4 (MSFT $9.25B = $37B/4; AWS $3.75B = $15B/4 per Jassy). Every major provider grows monotonically into Q1 2026.

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i All Mag3 + Oracle figures are reported on a gross basis (consistent with each company's revenue-recognition policy). Quarterly numbers are pre-Copilot for trajectory continuity; the post-Copilot total is what flows to the headline. Pure-play neoclouds (CoreWeave, Nebius, Lambda, Crusoe) have no Copilot exposure and no token-API pass-through.

Forward commitments

Multi-year contractual commitments reported gross, separately from realised compute revenue. Per the Cross-Ledger Reconciliation rule, these dollars are not rolled into the trajectory chart above — they are forward obligations that flow through over years.

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i Why this is separate from the trajectory chart. Google's RPO jump is the contractual order book, not Q1 26 revenue. The Anthropic-Google $200B and Anthropic+OpenAI $718B are forward commitments to MAG3 hyperscalers — they convert into compute revenue over a 5–8 year window, not at signing. Mixing them into a quarterly trajectory would double-count: the contracted dollars already drive the realised quarterly bars over time. Sourced from issuer disclosures of remaining performance obligations and announced multi-year compute commitments.

The Layer-Stack Multiplier

For every $1 of customer Apps Revenue, how many dollars flow down the stack to Compute, Silicon, and Power. The recycling chart nobody else publishes.

2025 lookback flows · sum-of-quarterlies basis (USD billions)
AI Ledger · Hepburn Advisory
Read this chart this way: all four layers on lookback 2025 actuals on the same time-basis (sum-of-quarterlies). Apps Revenue is the measured cohort total from the Revenue Ledger — not editorially extended to ecosystem scale; the cohort-vs-ecosystem gap is flagged on /methodology. Compute is sum-of-quarterlies post-Copilot, net of Hosted model APIs pass-through. Silicon is NVIDIA Data Center FY26 (calendar 2025) + AMD + custom ASIC.

What Would Have to Be True

Convergence signals that would confirm or disconfirm the Compute Revenue trajectory. Each signal has a defined threshold and an observed value.