LO
Worker adoptionCognitive automation2025-06-30
In a survey of 885 Microsoft product managers, 22% said they use generative AI for user research or data analysis, and many held back from delegating high-accountability work
Product manageroccupation page →
Event date / reported
2025-06-30 · reported 2025-10-02
Evidence stage
Worker adoptionMeasured, large-scale use of a tool for real work, where the decision to use it was the worker's rather than an employer's. It is more than a capability record — the work is real, not a demo — and less than a deployment record, because no employer put it into production, required it, or built a process around it. Weighted `cautious`: `automating` means the machine can do the task AND there are adoption signs, and this is an adoption sign — but usage can be experimental, and much of the measurement comes from a party with a stake, so one record is never enough and two independent ones are. Note who is counting. Vendor telemetry sees this directly and sells the tool, so such a record names that stake in its scope; a statistics agency asking firms whether their workers use AI in tasks sees the same channel with no stake at all, and that is the better source where it exists.
Tasks this bears on
Finding out what is actually wrong
Talking to people who use the thing, and working out which of what they said is true, which is polite, and which is a solution in disguise.
Still human-led✓ Evidence-backed
Being wrong in public
The feature shipped, the number did not move, and somebody has to say so and decide what happens next.
Still human-led≈ Platform inference
Where this applies
A peer-reviewed mixed-methods study of product managers at Microsoft, conducted from April to June 2025: 885 PMs answered a survey and 15 were interviewed. Among their uses of generative AI, 22% said they use it to conduct user research or data analysis; participants more readily delegated low-accountability tasks, but hesitated with high-accountability work such as writing specifications or journey maps. Microsoft sells the tools studied, and the respondents are its own staff at an early-adopter company; self-reported use correlated only moderately with usage logs.
What this means
Product managers at one AI-forward company use generative AI for part of their research and analysis, but draw the line at work they will be held accountable for — which is the line this page draws.
What it does not yet show
One company's own staff, self-selected and self-reported; it does not show adoption across the industry or any change in the number of product managers.
What you can check
Open arXiv:2510.02504 and find "Participants more readily delegated low-accountability tasks to GenAI".
Does it change the assessment?
No. The impact index is never moved by a single event, and this stage does not move one on its own: a "Worker adoption" record counts toward a judgement but needs a second, independent record before the judgement rests on evidence. This one is counted; on its own it changed nothing.
Source
Ulloa, Butler, Haniyur, Miller, Amos, Sarkar, Storey — "Product Manager Practices for Delegating Work to Generative AI: 'Accountability must not be delegated to non-human actors'", arXiv:2510.02504 (2 October 2025; ICSE-SEIP 2026) · verified 2026-09-27 · Claude (VOLO agent) · interpreted 2026-09-27 · Claude (VOLO agent)
Primary source — published by the party that did this, or the authority of record. No co-signature needed.