About Report AI

Report AI (report-ai.org) is a one-stop source for artificial intelligence statistics, reports, and trends. We track AI adoption, enterprise use, investment, the labor market, model capabilities, safety and governance, and the infrastructure powering it all — and we make the numbers easy to find, filter, and cite.

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Our audience is anyone who needs trustworthy AI data: analysts, journalists, founders, consultants, and enterprise decision-makers. We combine carefully curated statistics from authoritative third-party reports with our own original research and assessments.

What we do

We curate and contextualize AI data across the full landscape — adoption, enterprise use, investment, the labor market, model capabilities, safety and governance, and infrastructure — presenting it in a form that is easy to find, filter, and cite.

Who publishes Report AI

Report AI is published by Agile Agilist, a SAFe® Gold transformation partner specializing in Agile transformation, AI-Native enterprise enablement, and innovation leadership training. Agile Agilist works with enterprises on moving AI and Agile initiatives from pilot to governed production — the same practitioner lens we bring to interpreting AI data here. Explore Agile Agilist’s AI-Native training and certification and AI readiness assessments.

How we source

Trust is everything for a statistics site. Every figure we publish follows the principles below.

One claim, one source. Every statistic links to its primary source.
Dated. We show when the data was published and when our page was last updated.
Context, not just numbers. Each stat is explained so it can’t be misread.
Primary sources preferred. We cite original reports (e.g. Stanford HAI AI Index, McKinsey, Gartner, IDC, Deloitte, government and company data) rather than second-hand coverage.
Original research is labeled. Our own surveys and assessments are clearly identified, with methodology disclosed.

Confidence & freshness ratings

Because trust depends on knowing how solid and how current a figure is, we attach a primary source to every claim and show both the original publication date and the date our page was last updated. Original research is labeled and its methodology disclosed, so readers can judge the confidence and freshness of each statistic for themselves.

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Corrections & contact

Found a number that looks off? We want to know. Accuracy matters more than being first — reach out and we’ll review and correct promptly.