
What happened
In Uravation's survey of 747 respondents, 68.9% of those sharing AI practices with a team or company had automated repetitive tasks, versus 25.8% of solo users.
Why it matters
The gap suggests that spreading AI know-how beyond one person is tied to deeper use, though Uravation says the survey cannot show which comes first.
WHO IT HITSCorporate AI training and internal adoption teams may see the survey as evidence that building shared team practices, not individual experimentation alone, is what moves repetitive work onto AI.
Summaries like this, every morning.
Uravation's latest tally builds on an earlier report of 403 respondents published on October 6, 2026, and expands the sample to 747 people from 963 diagnostic responses collected between August 1 and November 2. Uravation notes that the differences from the earlier survey were all within 3.3 percentage points, so the overall picture has held steady as the sample grew.
The company frames the results around three axes it says move together: delegating work to AI, checking AI output, and spreading usage to others. It reports that people who share practices across a team or company are more likely to automate repetitive tasks, and that those who delegate to AI agents are more likely to vary how closely they check output by use case. Uravation cautions that these are relationships, not proof of cause and effect.
Uravation also points out a limitation in its sample: 71.7% of respondents from September 2 onward arrived via its free AI checker page, so the mix of respondents differs from earlier periods. The company says it does not treat period-to-period differences as evidence of changing usage behavior. It plans to use the findings to decide where its AI training and consulting engagements begin.
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