Explore the economics behind AI. Compare reported business results, test subscription scenarios, and follow the sources and assumptions behind the numbers.
Compare reported quarterly revenue and operating income across major businesses building AI. Read each result with its reporting period, scope, and original source.
Revenue
Operating income
Margins
Company-wide results, with AI attribution kept separate.
Explore how workload costs and utilization affect a subscription’s modeled contribution margin. Adjust the assumptions and see where the scenario breaks even.
Utilization
Serving costs
Break-even
Illustrative costs and usage, with official pricing references.
KNOW WHAT YOU ARE LOOKING AT
Numbers need context.
Each tracker makes its sources, assumptions, and limits visible.
What is the difference between results and scenarios?
Reported results come from the linked company disclosures. Scenario calculations explore what happens when you change assumptions such as serving costs or utilization. A modeled margin is not a disclosure of a provider’s actual profit.
Do the trackers update in real time?
These are manually reviewed snapshots, not live feeds. Each tracker shows its review date and source context. A source’s publication date, the period it describes, and our review date can differ.
Where can I check the evidence?
Open a tracker’s sources section for the original company announcements, financial results, or product pricing pages. The linked evidence supports the reported facts; classifications and scenario calculations are explained in the tracker’s methodology.
Does company profit measure AI profitability?
Company-wide revenue and operating income include businesses beyond AI. They show a company’s reported performance, but do not on their own establish AI-only profit, investment payback, or an industry-wide return.