JPMorgan Tracks Employee AI Usage and Ties It to Performance Reviews

JPMorgan Chase has started monitoring how its 65,000 engineers and technologists use AI tools in their daily workflow. According to Business Insider, internal systems classify employees as "light users" or "heavy users," and this usage may factor into performance reviews.

Staff are encouraged to use ChatGPT and Claude Code for coding, document review, and routine tasks. Managers are tracking adoption rates, and AI literacy is being treated as a baseline skill alongside spreadsheets and code tools.

JPMorgan spends over $18 billion annually on technology and runs more than 450 AI use cases in production. The bank reports efficiency gains of 30 to 40 percent for employees who actively use the tools.

The strategy aims to avoid the classic enterprise rollout problem: tools exist but nobody uses them. By tying AI usage to performance evaluations, JPMorgan creates a clear incentive for adoption.

The question is whether frequent use equals good use. Some developers express concern that non-users may be perceived as underperformers, regardless of output quality.

For other large enterprises, this is a signal: AI adoption is shifting from optional to expected.