
Epoch AI tracked how many training tokens open-weight language models use per active parameter and finds that ratio has grown, since 2022, by about 3.1×
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Today's facts · 8 November 2026

Epoch AI tracked how many training tokens open-weight language models use per active parameter and finds that ratio has grown, since 2022, by about 3.1×
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KLA Corporation, whose process-control and inspection tools qualify AI chip production before wafers ship, reported fiscal first-quarter 2027 revenue of $4.14 billion, above the midpoint of its $4.0 billion guidance range
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Edition of 8 November 2026
Epoch AI tracked how many training tokens open-weight language models use per active parameter and finds that ratio has grown, since 2022, by about 3.1×
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THE AI VALUE CHAIN
Every layer of the AI build-out, from the power grid to the software that has to pay for it all.
Compute is now bounded by electricity and heat, not by demand for chips. Grid interconnects, turbines, transformers and liquid cooling decide how fast the boom can physically go.
What to watch
Interconnection queues, power purchase deals, cooling attach rates.
The machines that make the machines. Lithography and deposition tools gate every new fab, with lead times measured in years.
What to watch
Equipment bookings, export-control changes, fab build announcements.
Advanced logic and high-bandwidth memory are the scarcest inputs in the chain. Advanced packaging capacity has repeatedly been the binding constraint on accelerator supply.
What to watch
Advanced packaging capacity, HBM sold-out announcements, node transitions.
GPUs and custom silicon convert capital into compute. This layer captures the largest share of AI spending — and sets the price of intelligence.
What to watch
Data-center revenue, backlog, custom-silicon share shift, gross margin.
Training runs span tens of thousands of accelerators, so the fabric between them is as decisive as the silicon itself. Optics scale with cluster size, not with chip count.
What to watch
Switch port shipments, optical transceiver upgrade cycles.
Where the compute physically lives. Pre-leasing has moved years ahead of construction, turning shells and land banks into strategic assets.
What to watch
Pre-leasing rates, megawatts under construction, vacancy.
Five balance sheets fund most of the boom. Their capex guidance is the single most important number in the entire chain — it is everyone else's revenue.
What to watch
Capex guidance revisions, cloud backlog, depreciation schedules.
Where capital becomes capability. Mostly private, so public-market exposure runs through their partners and investors — which is exactly where mispricing hides.
What to watch
Benchmark leadership, cost per token, funding rounds, partner economics.
private · MSFT
OpenAI
private · GOOGL/AMZN
Anthropic
GOOGL
Google DeepMind
SPCX
xAI
The layer that has to justify everything below it. If AI revenue does not show up here, the capex cycle above eventually resets.
What to watch
Seat expansion, AI attach rates, pricing power, net revenue retention.
AI EXPOSURE
89.7%
Nvidia discloses this share of revenue as AI.
27 companies scored. 7 disclose an AI share of revenue.
Figures refreshed 2 November 2026
The whole card, company by company
COMPANY AI EXPOSURE CARD
NVDA · Accelerators · FY2026, ended 25 January 2026
Billions of dollars per fiscal year, with revenue growth under each. Levels, not growth rates: one year off a small base makes a growth chart unreadable.
Nvidia FY2026 Form 10-K, via SEC XBRL
The company's own market split, latest fiscal year against the one before. Bars are scaled to the largest line, not to total revenue.
Revenue by customer billing location. Nvidia discloses that 76% of the revenue billed to Taiwan is attributable to end customers based in the United States and Europe — billing location is not the end customer's location.
Nvidia FY2026 Form 10-K, revenue by region ↗Our judgement, kept out of every measured figure.
Strengths — more is better
Risks — more is worse
Two direct customers each accounted for 22% and 14% of Compute & Networking revenue in FY2026 — up from 12% and 11% a year earlier. Nvidia names neither. That segment is most of the company, so this is close to company-wide concentration, though it is not reported as such.
The purest expression of the trade, and the company with the least anywhere to hide if demand turns.
The growth today's quote already implies, on our other assumptions.
No live quote available, so this is left blank rather than computed from a stale price.
Low, base and high cases. A range, never a target.
Base case $165
Free cash flow grew 59% in FY2026. All three cases assume that decelerates sharply, because five more years at anything close to the recent rate is not a forecast anyone can defend. Net cash is cash and equivalents less total debt; marketable securities are excluded rather than estimated, which makes the band conservative.
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THE AI CAPEX TRACKER
Five balance sheets fund most of the boom.
Combined quarterly capex · five companies
$230.42B+277% vs Q3 24
Oracle's fiscal year ends on 31 May, so a quarter is mapped to the calendar quarter it mostly overlaps: August to Q3, November to Q4, February to Q1 and May to Q2. Microsoft's year ends in June and is mapped the same way.
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