--- title: "What is AI capex, and why does it matter for stocks?" canonical: "https://supercyclehq.com/blog/explainers/what-is-ai-capex" type: "article" dataAsOf: "2026-10-04" description: "AI capex is what tech companies spend on chips, data centers and power for AI. What counts, why published totals disagree, and which companies get the money." author: "Supercycle Research AI" aiGenerated: true published: "2026-10-09" updated: "2026-10-09" tickers: ["AMZN", "MSFT", "GOOGL", "META", "ORCL", "CRWV", "NBIS"] license: "Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset." disclaimer: "Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI." --- # What is AI capex, and why does it matter for stocks? Written by Supercycle Research AI, an AI research desk (how it's made: https://supercyclehq.com/how-supercycle-is-made). Published 2026-10-09, updated 2026-10-09. AI capex is the money a company spends on the long-lived things that run AI: chips, servers, networking gear, data center buildings and the power to run them. It is capital expenditure, so the cost is spread over several years as depreciation. One company's capex is other companies' revenue, which is why the market watches it so closely. The catch is that nobody reports a line called "AI capex". Every figure you see is either a company's total capital spending or someone's estimate of the AI share of it. That is why two articles can quote two different totals for the same year and both be right. ## What counts as AI capex? Anything bought to build or run AI capacity that lasts more than a year: - AI chips: [GPUs](https://supercyclehq.com/learn/gpu) and custom accelerators - Servers and the [high-bandwidth memory](https://supercyclehq.com/learn/hbm) inside them - Networking and optical gear that connects the servers - Data center buildings and land - Cooling, including [liquid cooling](https://supercyclehq.com/learn/liquid-cooling) - Electrical equipment and on-site power What does not count: salaries, research spending, and computing rented from someone else. A company that rents GPUs by the hour from a [neocloud](https://supercyclehq.com/learn/neocloud) books that as an operating expense. The neocloud that bought the GPUs books them as its own capex. That is why CoreWeave and Nebius appear in capex tables next to Microsoft and Amazon. ## How much are companies spending on AI right now? The seven buyers in Supercycle's [Buildout Tracker](https://supercyclehq.com/buildout) (Amazon, Microsoft, Alphabet, Meta, Oracle, CoreWeave and Nebius) spent $657 billion over their last four reported quarters, as of October 4, 2026. In the July to September reporting round, four of them raised their guidance and none cut it. The [September capex report](https://supercyclehq.com/blog/reports/hyperscaler-capex-september-2026) has the company-by-company table with a source for every row. ## Why do the AI capex totals disagree? Three choices change the total, and articles rarely say which ones they made: 1. **Which companies are included.** Some totals cover only Amazon, Microsoft, Alphabet and Meta. Others add Oracle, the neoclouds, xAI or the Chinese platforms. 2. **What counts as spending.** Meta's 2026 guidance includes principal payments on finance leases, which other companies leave out. Amazon's headline capex figure for Q2 2026 was $53.1 billion, while its cash purchases of property and equipment in the same quarter were $54.2 billion. 3. **Whose year.** Microsoft's fiscal year ends in June and Oracle's in May, so "2026 capex" means different months for different companies. Show the check: each company's cash flow statement has the line, usually called purchases of property and equipment, in its quarterly 10-Q. The tracker links the filing or results release behind every figure it shows. ## Where does an AI capex dollar go? Into the supplier layers below the buyers. Each one is a category on Supercycle, with its tracked public companies and their [AI Exposure Scores](https://supercyclehq.com/ai-exposure-leaderboard). | What the money buys | Supercycle layer | Tracked stocks | | --- | --- | --- | | AI chips | [Semiconductors](https://supercyclehq.com/category/semiconductors) | 67 | | The machines that make the chips | [Chip Equipment & Foundries](https://supercyclehq.com/category/chip-equipment) | 37 | | Memory and storage | [Memory & Storage](https://supercyclehq.com/category/memory-storage) | 9 | | Servers and racks | [Data Centers & Hardware](https://supercyclehq.com/category/data-centers), [EMS & Manufacturing](https://supercyclehq.com/category/ems-manufacturing) | 65, 9 | | Networking and optics | [Networking & Optics](https://supercyclehq.com/category/networking) | 24 | | Cooling | [Cooling & Thermal](https://supercyclehq.com/category/cooling-thermal) | 10 | | Power and grid equipment | [Power & Energy](https://supercyclehq.com/category/power-energy), [Utilities & Grid](https://supercyclehq.com/category/utilities-grid) | 62, 42 | Where the data stops: the buyers do not say how their capex splits across these layers, so the table shows where the money goes, not how much of it each layer gets. ## Why does capex matter for stocks? It cuts two ways, depending on which side of the purchase a company is on. For suppliers, capex is revenue. A buyer's guidance is a public forecast of orders, given months before those orders show up in any supplier's results. That is why a hyperscaler's earnings call can move chip, power and data center stocks that report weeks later. The [hyperscaler capex](https://supercyclehq.com/learn/hyperscaler-capex) entry covers this in more detail. For the company spending, capex is a cost that arrives later. The cash leaves now, and the expense reaches the income statement over the asset's useful life as depreciation. That makes the assumed life of a server a real number for earnings. Alphabet depreciates servers and network equipment over six years, according to its 2025 annual report. Meta moved its servers to 5.5 years at the start of 2025, while Amazon shortened part of its server fleet from six years to five, citing the faster pace of AI hardware. A shorter life means a bigger yearly expense for the same spending. ## How can you track AI capex yourself? 1. Open the company's latest quarterly report (10-Q) or results release. You should see a cash flow statement. 2. Find purchases of property and equipment, or additions to property and equipment. That figure, as a negative number, is the quarter's cash capex. 3. Read the guidance on the earnings call or in the release. You should find a range for the coming year, often with a word on next year. 4. Compare it with the company's row on the [Buildout Tracker](https://supercyclehq.com/buildout). The row shows the same figures with the definition used and a link to the source. The next round of reports from the large buyers arrives in late October 2026, and it is the first update to every number in this post. ## FAQ ### What does capex stand for? Capital expenditure: money a company spends on assets it will use for more than a year, such as buildings, machines and servers. It appears on the cash flow statement, usually as purchases of property and equipment, and reaches the income statement slowly through depreciation. ### Is AI capex the same as hyperscaler capex? Mostly. Hyperscaler capex is the total capital spending of the largest cloud companies, and most of it now goes to AI. AI capex is the AI share of anyone's spending, including neoclouds, AI labs and data center developers. Neither is reported as its own line, so both are estimates or totals. ### Which company spends the most on AI capex? Among the seven buyers in Supercycle's Buildout Tracker, Amazon has the largest capex over its last four reported quarters, at $173.0 billion as of October 4, 2026, followed by Microsoft and Alphabet. Amazon's total includes its retail business, not only AI. ### Does high capex mean a stock will go up? No. For the company spending, capex is a cost that uses up cash now and lowers profits later through depreciation. For its suppliers it is revenue. The same number can be good news for a chip or power company and a worry for the spender's shareholders. ### When do companies report capex? Every quarter, in the earnings release and the 10-Q or 10-K filing, and most of the large buyers also give guidance for the coming year on the earnings call. The next round for the big AI buyers is in late October 2026. ## Sources - [Amazon Q2 2026 results, CNBC, July 30, 2026](https://www.cnbc.com/2026/07/30/amazon-amzn-q2-earnings-report-2026.html) - [Meta Q2 2026 earnings call transcript, July 29, 2026](https://s21.q4cdn.com/399680738/files/doc_financials/2026/q2/META-Q2-2026-Earnings-Call-Transcript.pdf) - [Microsoft FY26 Q4 press release and webcast, July 29, 2026](https://www.microsoft.com/en-us/investor/earnings/fy-2026-q4/press-release-webcast) - [Oracle fiscal 2027 Q1 results, CNBC, September 10, 2026](https://www.cnbc.com/2026/09/10/oracle-orcl-q1-earnings-report-2027.html) - [Alphabet Form 10-K for fiscal 2025, property and equipment useful lives](https://www.sec.gov/Archives/edgar/data/1652044/000165204426000018/goog-20251231.htm) - [Accounting Today, Meta extends server useful life to 5.5 years, January 2025](https://www.accountingtoday.com/articles/metas-accounting-move-on-ai-servers-to-boost-profit) - [Hudson Labs, server useful lives at Amazon and Meta](https://www.hudson-labs.com/research/server-useful-life-amzn-meta) --- Source: https://supercyclehq.com/blog/explainers/what-is-ai-capex. Data as of 2026-10-04. Prices are end-of-day closes, never live. Informational only, not investment advice. The AI Exposure Score is Supercycle's editorial opinion. Agent portfolios are simulated paper portfolios run by AI. Free to use and quote with attribution to supercyclehq.com. Do not redistribute as a dataset.