Inside JPMorgan's Efforts to Track Its Engineers' AI Use

Key Points:

• JPMorgan is pressuring its Global Technology division engineers to increase AI usage in coding, tracking their progress via internal dashboards that rank employees by their engagement with AI tools like GitHub Copilot and Anthropic's Claude.
• The bank uses a scoring system to measure AI interaction, categorizing users as "non," "light," or "heavy," and compares quarterly performance, though JPMorgan states this data is not used for performance management but to improve AI training and support.
• Some engineers express concern and anxiety over being flagged as underperformers if their AI usage is low, fearing increased workloads and job security risks amid ongoing layoffs and heightened productivity expectations.
• JPMorgan's approach reflects a broader trend among major companies like Meta, Google, and Disney, which are also tracking AI adoption to justify investments and encourage employee use of AI tools.
• Despite official reassurances, internal communications reveal a culture of pressure and surveillance, with some developers frequently monitoring their AI usage metrics and sharing warnings about "naughty lists" for low AI engagement.