Where every number comes from

Nothing enters the facts feed without a named source and a date. If a claim cannot be sourced, it is not a fact and it does not appear — not in the feed, and not in the ticker at the top of the page, which renders the same dataset.

Where a figure is a single reading taken on a particular day, the section shows that date rather than implying it is live. Data that ages past its useful window is labelled as old rather than left to pass as current.

Source: SEC filings (10-Q, 10-K) via the SEC XBRL API. Each company's cash capital-expenditure line is read from its own filings through the SEC's structured company-concept API — Microsoft, Alphabet and Meta report it as PaymentsToAcquirePropertyPlantAndEquipment, Amazon as PaymentsToAcquireProductiveAssets.

Quarterly figures are derived the way the filings report them. A 10-Q states cash-flow lines cumulatively from the start of the fiscal year, so a quarter is either a directly tagged three-month figure or the difference between two cumulative periods that share a start date. The fourth quarter is the annual 10-K figure less the nine-month figure. Microsoft's fiscal year ends in June, so its quarters are mapped onto the calendar quarters they actually cover — otherwise the four companies would not line up.

What this excludes. These are cash purchases of property and equipment. They do not include finance leases, which Microsoft in particular uses heavily, so the figure here is lower than the headline capex number Microsoft quotes. They are also total company capex, not AI capex: AI infrastructure is what is driving the growth, but fulfilment centres, offices and ordinary facilities are in these numbers too. Anyone presenting this as pure AI spending is overstating it.

Refresh. Re-read from the SEC daily. The chart only extends to the most recent quarter that all four companies have filed — the big four do not report on the same day, and a combined total missing three of them is not a total.

Scores are the Artificial Analysis Intelligence Indexand prices are that same provider's blended price per million tokens, both from Artificial Analysis, read on the date shown on the section.

Every figure comes from that one source. Rival leaderboards run different evaluations and score the same models several points apart, so mixing them would produce a table where no two rows mean the same thing. When the board is refreshed, every row is re-read at once rather than patched individually.

The value frontier is the dashed line: the models that nothing cheaper beats on score. A model sitting below the line is dominated — something cheaper is also smarter.

The proxy tickers are ours, not the data provider's. They describe how a public-market investor gets exposure to a lab — a listed parent, a major backer, a strategic investor. Exposure is not ownership, and a ticker beside a model is not a view on that security.

There is no composite 0–100 score. There used to be one, built on placeholder values, and we removed it rather than dress it up. Every figure in the section now carries one of three provenances, shown as a chip on the card:

Company disclosed.The AI share of revenue, but only where the company publishes such a figure — Nvidia's Data Center segment, Broadcom's AI revenue line, TSMC's HPC platform share, Microsoft's AI run rate. Each links to the filing or release it came from, with the period it covers and a note where the figure is not quite AI revenue. Where a company discloses nothing, the card says not disclosed and shows the nearest cited signal instead. We do not estimate the gap.

Derived from filings.Revenue, R&D and capital expenditure for the most recent full fiscal year, from SEC XBRL data, with the ratios computed from them. TSMC files under IFRS as a foreign private issuer, so these are unavailable for it and shown as such rather than substituted.

Our read. Chain criticality and moat durability are editorial judgement on a four-step scale. They are deliberately kept out of any calculated figure, so nothing on the card looks measured when it is an opinion.

Why there is no single number. Exposure means opposite things at opposite ends of the chain: for a supplier it is revenue earned from AI, for a hyperscaler it is money spent on it. A composite of consolidated financials ranks Meta, which buys AI hardware, far above Nvidia, which sells it. A score that inverts the obvious answer is worse than no score.

Refresh.Each earnings season, by hand. Segment and AI-specific figures are not machine-readable — the SEC's structured API returns consolidated facts only — so unlike the capex tracker this section cannot refresh itself.

AllFactsAI publishes research and educational content. Nothing on the site is investment advice, and no content is a recommendation to buy or sell any security. Scores, rankings and trackers are analytical tools, not ratings.

No company pays for placement, ranking or coverage. Where a figure is estimated, illustrative or excluded from a definition, that is stated on the section itself rather than only here.

Found something wrong? That is worth more to us than a polite email — admin@allfacts.ai.