All claim checks
We open the primary source and compare it with the claim: the year, who was asked, and the exact wording.
Company success stories need the same check. In the site’s case set, 58% of the cases that report a result rest only on the company’s own figures: the evidence gap.
- “66% of small businesses use AI” The figure is in the source, a 2026 online survey for the US Chamber of Commerce, a business lobby that argues against state AI laws in the same report. The report does not say how firms were recruited or weighted. Other US counts of the same kind of firm, made in other ways, are far lower.
- “95% of generative AI pilots at companies are failing (MIT)” The figure is in the report, but the report is preliminary and not representative. It rests on 52 interviews, 153 survey answers collected at conferences and a review of public announcements. Its authors call the figures “directionally accurate” rather than based on company reporting, and it defines success in two different ways.
- “BCG’s AI Maturity Matrix shows how mature companies are” Two different BCG publications get mixed up. The AI Maturity Matrix rates national economies. The company figures come from a separate executive survey, and the tool behind it is not public.
- “Copilot saves UK civil servants 26 minutes a day” The figure is in the UK government’s report, but it is what users estimated, not time measured. It comes from one survey question with answers in ranges. HMRC, with licences given at random, put the estimate at about an hour a week. The Department for Business and Trade found no evidence that time saved led to higher productivity.
- “Microsoft has a maturity model for responsible AI” The model exists as described: 24 dimensions, five levels, built from interviews with more than 90 specialists. One limit: it covers responsible AI only, not AI readiness in general.
- “MIT Sloan shows that the barriers to digital transformation are mainly cultural” The page cited is a collection of short articles with no single author or date. It says cultural, organizational and technical shifts are all needed. It does not say that culture is the main barrier.
- “Only 13% of companies are ready for AI” The number is in the source. The population is not “companies”: Cisco surveyed leaders at organizations with 500 or more employees. Smaller firms are not in it.
The three verdicts
- Confirmed. The primary source says what the claim says.
- Needs correcting. The source exists, but the claim gets the year, the population or the wording wrong.
- No support found. The source named does not say this.
How the site judges evidence in general is set out in how we rate.