Follow the AI story.
Capital expenditure, AI revenue, hardware supply signals, electricity demand, private rounds, and job-cut attribution in one view—with every figure sourced and dated.
2026 capex
$720–745B
Company-wide · four hyperscalers
Q2 VC share
>70%
Jul 1 global snapshot
AI rank
4th
August layoff reasons
AI stocks vs major global markets
Equal-weighted basket of 28 AI-exposed listings against 12 major global indices · all in USD, rebased to 100 · Oct 2023 – Sep 2026
Ranked · Oct 2023 – Sep 2026
AI basket
+360.9%
Rank
1 of 13
Best index
🇹🇼 +191.9%
Best–worst stock spread
1468pp
Over this window the basket returned +360.9%, ranking 1 of 13 in a field with 12 selected major indices — best of them TAIEX at +191.9%, weakest NIFTY 50 at +3.2%. Inside the basket 000660 returned +1488.8% and NOW +21.2%, a 1468 point spread within the same theme — measured across the 27 names that traded for the whole window, since the other 1 listed part-way through it. The displayed basket is an equal-weighted index chained off weekly returns, so a constituent that lists mid-window joins without dropping the line. To isolate rebalancing from those membership changes, the 27 full-window names returned +342.8% with weekly rebalancing versus +353.0% when bought equal-weighted at the start and held. Equal rather than cap weighting either way, so the basket answers how the typical AI name did rather than restating the index. Every line is in US dollars — each daily close converted at that day’s rate before anything is derived — so returns for non-US listings and indices include exchange-rate movements against the dollar. Price returns only, so dividends are excluded. Membership is a judgement call and the basket is not investable.
The AI stack, priced
28 listings · all prices and returns in USD · grouped by layer, not sector · not ranked · hover a chart for the value at that point · close of 2026-09-21
| Company | Last (USD) | Change | Jan – Sep 2026 |
|---|---|---|---|
| Models, clouds & applicationsSell the output — where AI revenue is actually booked | |||
| MSFT 🇺🇸Microsoft | $493.78 -0.80% 1D | 1W-0.37% 1M+1.96% YTD+4.41% | |
| GOOGL 🇺🇸Alphabet | $349.54 +0.64% 1D | 1W+3.26% 1M+1.40% YTD+10.91% | |
| AMZN 🇺🇸Amazon | $253.71 +1.00% 1D | 1W-1.20% 1M-4.56% YTD+12.01% | |
| META 🇺🇸Meta Platforms | $665.75 -2.43% 1D | 1W+2.73% 1M+21.93% YTD+2.36% | |
| PLTR 🇺🇸Palantir | $177.64 +0.79% 1D | 1W+6.22% 1M+1.40% YTD+5.83% | |
| NOW 🇺🇸ServiceNow | $135.47 -2.17% 1D | 1W+2.22% 1M+6.50% YTD-8.12% | |
| BABA 🇨🇳Alibaba (ADR) | $113.24 +4.33% 1D | 1W+3.60% 1M-12.15% YTD-27.29% | |
| Silicon & equipmentSell the compute, and the machines that make it | |||
| NVDA 🇺🇸NVIDIA | $222.27 +1.34% 1D | 1W+1.82% 1M+2.16% YTD+17.70% | |
| AVGO 🇺🇸Broadcom | $357.61 +2.97% 1D | 1W-1.21% 1M-1.34% YTD+2.87% | |
| AMD 🇺🇸AMD | $559.82 +2.70% 1D | 1W+8.46% 1M+20.02% YTD+150.51% | |
| TSM 🇹🇼TSMC (ADR) | $434.67 +1.02% 1D | 1W+0.33% 1M+5.48% YTD+36.00% | |
| ASML 🇳🇱ASML (ADR) | $1679.92 +3.08% 1D | 1W-1.08% 1M-4.10% YTD+44.35% | |
| MU 🇺🇸Micron | $1015.80 +3.92% 1D | 1W+4.16% 1M+8.40% YTD+222.05% | |
| ARM 🇬🇧Arm Holdings | $275.61 +4.04% 1D | 1W+4.09% 1M+10.54% YTD+140.22% | |
| MRVL 🇺🇸Marvell | $244.25 +1.45% 1D | 1W+3.45% 1M+2.94% YTD+173.24% | |
| 8035 🇯🇵Tokyo Electron | $340.17 ← JPY+4.12% 1D | 1W+2.12% 1M-0.33% YTD+44.60% | |
| Power, cooling & interconnectSell the building, the electricity and the network | |||
| VRT 🇺🇸Vertiv | $249.39 +3.27% 1D | 1W-2.98% 1M-4.45% YTD+42.01% | |
| ANET 🇺🇸Arista Networks | $199.39 -0.07% 1D | 1W-0.10% 1M+6.94% YTD+49.24% | |
| ETN 🇺🇸Eaton | $424.77 +3.74% 1D | 1W-0.14% 1M+0.02% YTD+29.78% | |
| CEG 🇺🇸Constellation Energy | $254.71 -3.08% 1D | 1W-10.55% 1M-7.10% YTD-30.45% | |
| GEV 🇺🇸GE Vernova | $940.33 +1.66% 1D | 1W-1.77% 1M-4.77% YTD+38.38% | |
| EQIX 🇺🇸Equinix | $1021.34 -0.45% 1D | 1W-1.58% 1M-5.18% YTD+33.66% | |
| SU 🇫🇷Schneider Electric | $322.36 ← EUR+1.39% 1D | 1W-4.30% 1M-5.69% YTD+15.73% | |
| Systems & memoryAssemble the racks; supply the tightest input in the chain | |||
| SMCI 🇺🇸Super Micro | $39.09 -3.12% 1D | 1W-2.52% 1M+6.86% YTD+26.26% | |
| DELL 🇺🇸Dell Technologies | $568.06 -3.46% 1D | 1W+0.14% 1M+29.83% YTD+344.49% | |
| 000660 🇰🇷SK hynix | $1354.08 ← KRW+0.59% 1D | 1W+7.29% 1M+8.86% YTD+188.75% | |
| 005930 🇰🇷Samsung Electronics | $197.53 ← KRW+4.41% 1D | 1W+6.67% 1M-2.41% YTD+121.92% | |
| 2317 🇹🇼Hon Hai (Foxconn) | $7.85 ← TWD-0.20% 1D | 1W+0.05% 1M+1.79% YTD+5.91% | |
Listed for reference, not as recommendations, and not investment advice. Membership is a judgement call, not a definition — there is no official “AI sector”, and most of these companies earn plenty of revenue that has nothing to do with AI. Prices and returns are in US dollars for every row, including the Korean, Japanese, Taiwanese and European listings: each daily close is converted at that day’s rate before anything is derived from it, so a return here is what a dollar investor actually earned, currency move included. An arrow marks the currency a row trades in.
What AI actually earns
Disclosed AI revenue and run rates · USD · reported segments and call commentary are labelled separately
NVIDIA Data Center
$89.0B
Reported segment, quarter ended Jul 2026 · +18% QoQ · +117% YoY
Anthropic
>$100B
Reported annualized revenue pace · private company; not full-year revenue
Google Cloud
$24.8B
Reported segment, Q2 2026 · +82% YoY · backlog $514B
TSMC AI accelerator revenue
High-teens %
Management-reported share of FY2025 total revenue · GPUs, ASICs and HBM controllers for data-center training and inference; CPUs excluded · not a standalone segment
OpenAI
>$40B
Annualized run rate, roughly double its end-2025 pace · private company
AWS AI business
$25B+
Annual run rate quoted on the call · triple-digit growth · AWS backlog $496B
NVIDIA Data Center and Google Cloud are reported segments, though neither is AI-only. TSMC’s high-teens share is management’s company-defined accelerator revenue mix — GPUs, ASICs and HBM controllers, excluding CPUs — not a standalone segment. Amazon’s run rate is call commentary; Anthropic and OpenAI are private. Run rate annualises a recent period — it is not revenue earned. Microsoft stopped disclosing an AI-specific figure after FY26 Q2, which is why it is absent.
Company-wide capex at four hyperscalers
Latest company-wide 2026 guidance vs prior-year actuals · definitions differ · USD billions
Combined $720–745B against $409B on the displayed prior-year series. These are company-wide plans, not AI-only budgets, and their definitions differ. Microsoft’s current calendar-2026 figure reflects a finance-to-operating lease reclassification, so it is not directly comparable with its lease-inclusive prior-year bar even though management said underlying investment expectations were unchanged. The paler segment marks the portion of a published range still labelled “up to”. Prior-year bars come from a consistent calendar-quarter series — Epoch AI hyperscaler capex tracker (SEC 10-Q/10-K), inclusive of finance leases. Guidance is a revisable forecast, not a reported result.
The bill behind the buildout
Company-wide capex, two-cloud backlog, and global data-centre electricity demand
Combined 2026 capex plans
$720–745B
Four hyperscalers, summed from company guidance · displayed 2025 series totals $409B, but current reporting bases differ, especially for leases
Data-centre electricity demand
950 TWh
IEA projection for 2030 — roughly double 2025's 485 TWh · electricity use by AI-focused data centres triples over the period
Google Cloud + AWS backlog
$1.01T
Google Cloud $514B + AWS $496B backlog/RPO · company-wide cloud contract measures, not AI-only and not directly comparable
The backlog total combines management-reported Google Cloud and AWS commitments. It is not AI-only, and the two companies’ definitions and recognition timing differ. The capex total is also company-wide rather than a standalone AI budget.
Hardware constraints
Reported memory, foundry and lithography signals · monetary figures in USD
SK hynix Q2 2026
$54.8B
Preliminary K-IFRS revenue · $41.8B operating profit, 76% margin · translated at the Jul 29 Federal Reserve rate · HBM4 mass shipments began
TSMC August revenue
+53.3%
Year on year, unaudited consolidated monthly revenue · a useful but not AI-specific high-frequency foundry-demand proxy
ASML 2026 guidance
$49.0–51.3B
Full-year total net sales guidance, raised · Q2 net sales $10.6B · translated at the Jul 15 ECB reference rate · sole EUV supplier
HBM market share estimate
50%
Counterpoint estimate of SK hynix's HBM revenue share in Q2 2026, down from 64% a year earlier · Samsung 33%, Micron 18%
SK hynix’s card pairs company-wide quarterly revenue and operating margin with management’s HBM4 shipment commentary; the margin is not an HBM-only measure. TSMC’s monthly growth is also company-wide and is shown only as a high-frequency foundry-demand proxy, not an AI revenue breakout. SK hynix and ASML monetary figures are translated to USD using the official report-date Federal Reserve and ECB reference rates and rounded to the nearest $0.1B.
AI as the stated reason for job cuts
Share of announced US job cuts naming AI · monthly, 2026
This tracks employer attribution, not independently measured displacement. Challenger classifies the reason cited in announced US cuts; multiple factors may shape a restructuring, while unannounced hiring freezes and role changes are outside the count. Each monthly percentage uses that month’s announced cuts as its denominator. Source: Challenger, Gray & Christmas.
AI and jobs
US announced job cuts citing AI · Challenger, Gray & Christmas
AI-attributed US job cuts
116,175
Employer-announced cuts citing AI through August 2026 — against 54,836 in all of 2025
August rank among stated reasons
4th
AI cited in 3,462 August cuts; restructuring led, ending a five-month AI streak
Technology cuts, all reasons
155,126
Through August, 29% of all announced cuts · a separate all-reason sector total, not a subset of the 116,175 AI-attributed cuts
Total announced cuts, August
52,881
Up 58% from July · AI accounted for about 7% of monthly announced cuts
AI ranked fourth among stated reasons in August, while remaining the leading reason year to date. Total announced cuts rose 58% from July to 52,881. Challenger tracks employer attribution, not independently measured displacement. Its technology-sector total covers cuts for every stated reason.
Private capital
Global venture funding in USD · Q1 Mar 31 and Q2 Jul 1 snapshots · selected announced AI rounds
| Company | Announced/committed (USD) | Post-money (USD) | Date |
|---|---|---|---|
| Crusoe Series F · initial close; anticipated total · Atreides, Mubadala Capital, Valor Equity Partners | $3.9B | $30.9B | Sep 2026 |
| Profound Series D · Sequoia, Kleiner Perkins | $0.18B | $1.8B | Sep 2026 |
| Databricks Growth funding · Coatue, Blackstone, MGX, T. Rowe Price, Sixth Street Growth | $5B | $190B | Aug 2026 |
| Anthropic Series H · Altimeter, Dragoneer, Greenoaks, Sequoia | $65B | $965B | May 2026 |
| OpenAI Late-stage · committed capital · Amazon, NVIDIA, SoftBank, Microsoft & others | $122B | $852B | Mar 2026 |
| Anthropic Series G · GIC, Coatue, D. E. Shaw Ventures & others | $30B | $380B | Feb 2026 |
Q1’s ≈80% share and total preserve Crunchbase’s Mar 31 snapshot; Q2’s >70% share and total preserve its Jul 1 snapshot. The later revised H1 total is not backfilled into the quarter view because Crunchbase did not publish a revised split. Deal amounts are announced or committed, not necessarily funded on the announcement date. Crusoe’s amount is the anticipated full round at its initial close. August and September deals are excluded from the H1 concentration calculation. A post-money valuation is the negotiated price for preferred stock with its own terms, not a daily market capitalisation. This is the reported headline set, not a complete private-market league table.
Reported private-capital concentration
Global venture funding and AI's reported share · USD · Crunchbase snapshots
Reported global venture funding, H1 2026
$515B
Crunchbase's Aug. 3 revised snapshot · a record half-year, above the $440B reported for all of 2025
AI share of Q2 funding
>70%
Up from under 50% a year earlier · based on reported rounds in Crunchbase's July 1 snapshot
Announced by two companies
$217B
OpenAI committed capital plus Anthropic's two announced rounds · calculated at about 42% of the later revised $515B H1 total
Global venture funding, August
$42B
All sectors, not AI alone · down 25% from July's $56B · seven billion-dollar rounds · Sep 2 snapshot
Combining the three H1 OpenAI and Anthropic rounds in the deal table with Crunchbase’s later revised H1 total gives about 42%. That is a derived, cross-vintage comparison; the Q2 share is a separate July 1 snapshot, and funding totals can be revised as later deals are disclosed.
Which US employer businesses are using AI
Nonfarm employer businesses · share using AI in any business function · by employment size · Aug 24–Sep 6, 2026
The national estimate is 23.2%. All 7 bars reproduce Census-published employment-size estimates for US nonfarm employer businesses in the Aug 24–Sep 6, 2026 reference period, released Sep 10, 2026; they are survey estimates rather than administrative counts. The size comparison is descriptive and does not by itself measure AI’s effect on output or employment. Source: US Census Bureau Business Trends and Outlook Survey.
Adoption and cost-efficiency proxies
US employer-business use, paid seats, and estimated AI-chip performance per US dollar
US employer businesses using AI
23.2%
Used AI in any business function in the prior two weeks · Aug 24–Sep 6, 2026 reference period
Expect to use AI within 6 months
27.3%
National BTOS point estimate · Aug 24–Sep 6, 2026 reference period
Microsoft 365 Copilot paid seats
30M+
Quarter ended Jun 30, 2026 · seats licensed, not necessarily active users
AI-chip performance per US dollar
+49%/yr
Estimated spending-weighted peak throughput of chips sold, Q1 2023–Q4 2025, in constant 2025 USD · doubles every 1.7 years · not deployed or workload performance
These are separate scale signals, not a conversion funnel or ROI test: global capex guidance and venture snapshots, a US nonfarm employer-business survey, paid software seats, and an estimate of peak theoretical chip throughput per US dollar cover different populations and periods. The latest Census incidence estimate is 23.2%.
How to read this page
Research reviewed Sep 21, 2026 · stock quotes refresh weekly
All monetary amounts are in USD. Figures originally reported in another currency use an official exchange rate from the source date and are marked as translated; rounded conversions should not be read as audited company disclosures.
Research figures come from company disclosures, Census survey data, funding announcements and published research. Census also provides a public API. Each source follows its own release schedule, so the review date can be newer than the reporting period. Every research figure links to its source and retains its publication date; annualized revenue, reported segments and company-wide spending plans are labelled separately.
The 28 listings in the stack table and the basket chart are Yahoo Finance closes on the same weekly cadence as the rest of the site, computed the same way as the Markets page.
Where a figure cannot be sourced it is absent rather than estimated. Notes beside the charts distinguish employer attribution, announced deal terms, company-wide capex and Census survey estimates so unlike measures are not presented as equivalent. Nothing here is investment advice or a recommendation to buy or sell any security.