What works: AI at work, rated by the evidence
Rated use cases, by what the evidence says
Evidence points to a gain 4
Strength 2 or more, with studies pointing the same way. Read who it works for, and the risks.
Nothing in this group for that job.
No clear effect so far 3
Enough studies to rate, but they do not show a clear gain or loss on the main outcome.
Nothing in this group for that job.
Early signals 14
Strength 1: a few studies, too weak or too few for a verdict. The direction is shown, not a promise.
Nothing in this group for that job.
Too few studies to rate yet 10
Fewer than two strong-enough studies, or problems with the ones there are. Each page lists what exists.
Nothing in this group for that job.
The evidence map
How studies are graded →Download the evidence map
Every study in the map, one row per outcome: 145 studies, 460 rows, with the grade, whether it counts, the effect as the paper reports it and where in the paper it appears. Free to reuse under CC BY 4.0; please cite “AI Adoption (2026), Adopt evidence map, pilot of 2 Nov 2026, aiadoption.org”.
When AI made things worse
Some studies found AI slowed people down or made results worse, often on tasks just outside what the AI does well. What hasn't worked →
How up to date is this?
Evidence searched to 2 Nov 2026: 114 studies across 31 use cases. We add new studies as they are published and log every rating change on the method page.
Disclosure: AI Adoption uses AI tools, including Claude from Anthropic, in its research and editorial work. No company pays for or has any say in a rating.