KPMG dashboard tracks AI use across 10,000 U.S. advisory employees

KPMG has started showing U.S. advisory consultants how often they use AI, how they compare with peers, and whether they are meeting a target level, putting day-to-day adoption under a new layer of management scrutiny for about 10,000 employees. The firm said more than 90% of its U.S. staff use AI weekly, but the dashboard moves the conversation from broad encouragement to individual measurement.

That shift matters inside a Big 4 shop where small changes in expectations can ripple quickly through staffing, coaching and promotion narratives. KPMG spokesperson Russ Grote said regular AI users produce higher-quality work, feel less stressed and spend more time on strategic work, which he said can help them progress faster in their careers and better serve clients. The company has been trying to tie AI to behavior, not just access, since it announced firm-wide adoption of Gemini Enterprise from Google Cloud on October 9, 2025.

The dashboard appears designed to push that behavior further. Multiple reports said it includes a 75% usage target, or roughly three-quarters of working days, and lets employees see their own use alongside colleagues’ activity. That kind of visible benchmark can work as a learning tool, but it can also become a proxy scorecard in a consulting environment where leaders already watch utilization, chargeability and client feedback closely.

Employees interviewed about the system said it can be easy to manipulate, which highlights a broader problem with workplace AI metrics: frequency is not the same as impact. A consultant can open an AI tool often without changing the quality of the analysis, the speed of delivery or the judgment behind the work. For KPMG professionals, that distinction will matter if managers start reading the dashboard as evidence of productivity, strategic thinking or readiness for more responsibility.

The timing adds another layer. KPMG cut about 400 jobs, or roughly 4% of its U.S. advisory workforce, in late April, with reductions concentrated in regulatory risk advisory, customer operations and financial services consulting. In its own AI Quarterly Pulse survey, KPMG said 81% of leaders were planning to include generative AI in performance reviews and 19% already were, underscoring that AI is moving from experiment to formal evaluation. For KPMG staff, the dashboard is a sign that AI adoption is no longer just encouraged. It is becoming part of how work is observed, compared and judged.