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Report · August 2026

Closing the Ambition Circuit

A practical operating model for turning AI ambition into systems your business can run.

Cover of Closing the Ambition Circuit
Published
August 2026
Length
22 pages
Audio
22:20

What it found

  1. 01

    Individual productivity gains are not reaching the enterprise. 87% of surveyed digital workers use AI and 75% say it improves their productivity, but only 13% say it has significantly improved their organization's performance.

  2. 02

    AI's measured effect reverses depending on who usesport assistant raised issues resolved per hour by 14%, with gains concentrated among novice workers — while experienced developers working in repositories they already knew were 19% slower with early-2025 tools than without them.

  3. 03

    Supervising AI now consumes more of the week than port 37% of AI-related time — 6.4 hours — spent feedingcontext, checking output, debugging, and cleaning up, against 36% spent producing work.

  4. 04

    Shipping unreviewed AI output is the norm, not the ported at least one instance of work they had notadequately reviewed, did not fully understand, or could not defend.

  5. 05

    Time spent operating AI tools is not what separates the organizations getting results. Workers at organizations reporting transformative impact spent a smaller share of their AI time directly operating the tools than workers at organizations reporting none.

Audio overview

22:20

The report as a conversation — the same findings, discussed. Useful if you would rather listen on the drive than read at a desk.

--:--22:20

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