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AI Business & IndustryASCII.jpPublished: Nov 8, 2026, 13:01 JST

Team AI sharers automate 68.9% of repetitive work, 2.7× solo users: Uravation

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Team AI sharers automate 68.9% of repetitive work, 2.7× solo users: Uravation

3 Key Points

  1. 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.

  2. 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.

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Context & Analysis

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.

FAQ
How many people were included in the survey?
The survey covered 963 diagnostic responses from 747 unique people, counted by hashed IP address, between August 1 and November 2, 2026.
Is the survey representative of all Japanese workers?
No. Uravation says respondents visited its site and took the diagnostic on their own, so the sample is not random and not representative of Japan's workforce.
Does the survey show that team sharing causes more automation?
No. Uravation says the data shows a relationship between the two but cannot establish which comes first.
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