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Capital flow drill-down

Money in, revenue out: the full breakdown.

Issue 07 · Week 23 of 2026.

The four-category capital scorecard expanded with named transactions, burn-to-revenue context, and per-category trends across recent issues. Each row corresponds to a row in the summary table on the issue page.

Capital flow scorecard

Capital in, revenue out, burn ratio, and movement.

Capital in, revenue out, and direction of travel for this issue.
CategoryCapital inRevenue outBurn to revenueMovement
Frontier LabsOpenAI, Anthropic, Google DeepMind, xAI~$90BPrior ~$90B · Flat~$20BPrior ~$20B · Flat~1.3xNo new mega-round closed; the action moved from lab balance sheets to the infrastructure stack those labs consume.
Hyperscaler-HostedAzure-OpenAI, AWS-Anthropic, Google Cloud-Gemini, Oracle-OCI~$181BPrior ~$180B · Flat~$60BPrior ~$60B · Flat~0.3xGoogle's power-first Texas campus made energy procurement the visible hyperscaler battleground.
NeocloudsCoreWeave, Nscale, Crusoe, Lambda, Fluidstack, IREN~$12BPrior ~$12B · Flat~$5BPrior ~$5B · Flat~3xNo new W23 financing reset; prior IREN/Microsoft-style deals remain the relevant neocloud proof point.
On-Prem / HybridEnterprise GPU clusters, sovereign and national programs, Cisco / Dell / HPE~$91BPrior ~$90B · Flat~$35BPrior ~$35B · Flat~2xSovereign AI infrastructure moved from compute ambition to power-first site selection and public-consent risk.

Category

Frontier Labs.

OpenAI, Anthropic, Google DeepMind, xAI

Capital in
~$90Bvs ~$90B · Flat
Revenue out
~$20Bvs ~$20B · Flat
Burn / rev
~1.3xLower means more capital out than in.

The read

Frontier-lab capital remained elevated but quiet after the prior week's record close. The actionable read is that lab demand has translated into Vera Rubin early-adopter lists and HBM4 qualification pressure rather than a fresh financing event. Treat this row as capital already committed to capacity, not a new inflow.

This week's transactions

Named transactions and source context.
DateTransactionAmountSource
Jun 1Vera Rubin early adopter list includes major frontier labsUndisclosed capacity demandData Center Knowledge / NVIDIA GTC Taipei

Trend across recent issues

W17W18W19W20W21W22W23
Capital in
$50B, $52B, $52B, $52B, $52B, $90B, $90B
Revenue out
$30B, $35B, $45B, $48B, $48B, $20B, $20B

Category

Hyperscaler-Hosted.

Azure-OpenAI, AWS-Anthropic, Google Cloud-Gemini, Oracle-OCI

Capital in
~$181Bvs ~$180B · Flat
Revenue out
~$60Bvs ~$60B · Flat
Burn / rev
~0.3xLower means more capital out than in.

The read

The week's hyperscaler movement was strategic rather than a new earnings print: Google/Intersect's power-first data-center model pairs AI load with more than 1GW of dedicated generation. That is a capital-flow signal because future compute commitments increasingly require power development, land, and grid strategy before servers are ordered.

This week's transactions

Named transactions and source context.
DateTransactionAmountSource
Jun 3Google / Intersect power-first AI campus model>1GW dedicated generationData Center Knowledge

Trend across recent issues

W17W18W19W20W21W22W23
Capital in
$48B, $58B, $58B, $58B, $60B, $180B, $181B
Revenue out
$10B, $13B, $13B, $15B, $20B, $60B, $60B

Category

Neoclouds.

CoreWeave, Nscale, Crusoe, Lambda, Fluidstack, IREN

Capital in
~$12Bvs ~$12B · Flat
Revenue out
~$5Bvs ~$5B · Flat
Burn / rev
~3xLower means more capital out than in.

The read

The neocloud row held steady after the prior week's hyperscaler contract shock. The W23 implication is operational: Vera Rubin availability and HBM4 qualification help the supply side, but neocloud valuations still depend on converting signed offtake into energized, liquid-cooled capacity on time.

This week's transactions

Named transactions and source context.
DateTransactionAmountSource
Jun 1Vera Rubin production ramp expands future neocloud supply pathFall/Q3 shipment windowNVIDIA / Data Center Knowledge

Trend across recent issues

W17W18W19W20W21W22W23
Capital in
$15B, $18B, $28B, $30B, $30B, $12B, $12B
Revenue out
$1.6B, $2B, $3B, $3B, $3B, $5B, $5B

Category

On-Prem / Hybrid.

Enterprise GPU clusters, sovereign and national programs, Cisco / Dell / HPE

Capital in
~$91Bvs ~$90B · Flat
Revenue out
~$35Bvs ~$35B · Flat
Burn / rev
~2xLower means more capital out than in.

The read

A new sovereign-infrastructure report put the issue plainly: strategic compute now depends on firm power, permits, cooling, land, transmission, financing, and public consent. This does not change the gross capital estimate, but it changes what counts as bankable AI capacity. Sovereign buyers should assemble power and permitting before announcing GPU counts.

This week's transactions

Named transactions and source context.
DateTransactionAmountSource
Jun 3Sovereign AI Infrastructure ReportStrategic-capacity frameworkBG Titan / National Law Review

Trend across recent issues

W17W18W19W20W21W22W23
Capital in
$42B, $42B, $42B, $45B, $45B, $90B, $91B
Revenue out
n/a, n/a, n/a, n/a, n/a, $35B, $35B

Methodology

Capital-in and revenue-out figures are quarterly or annualized as noted in the row, sourced from public earnings disclosures, SEC filings, and lab and vendor announcements. Burn-to-Revenue is revenue divided by committed capital. The trend chart shows up to eight prior issues. Data is updated weekly; revisions in future issues do not retroactively edit this one.

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