In a strong shift towards AI-driven performance, JPMorgan Chase has introduced new expectations for its 65,000 software and security engineers, making AI adoption a core part of their roles.
According to internal documents reviewed by a media publication, the bank has updated performance goals for its Global Technology division. Engineers are now required to “drive excellence” by using AI tools to improve code quality, speed, and productivity. These changes are set to reflect in official employee goals by the end of March.
The push is not just advisory. Engineers say AI adoption is now a regular topic in manager discussions, internal posts, and dashboards that track usage of tools like GitHub Copilot. These systems can even monitor how often such tools are actively used.
JPMorgan is expected to spend around $20 billion on technology in 2026, significantly higher than many peers. With this investment, the bank is setting clear expectations. One engineer shared that managers expect “a noticeable increase” in output quarter over quarter with the use of AI tools.
The bank is also expanding its AI toolkit. A pilot for Claude Code by Anthropic is expected to begin as early as April. This will add to 4 large language models already in use, including tools from OpenAI and Anthropic.
Tracking AI adoption is becoming part of performance evaluation. JPMorgan is revising its review system to focus on 2 areas: “what you achieve” and “how you achieve it.” Employees will be placed into 3 categories—“stand out,” “achiever,” and “needs improvement.”
Engineers who do not adopt AI tools risk being seen as underperformers. This shift reflects a broader trend across tech and finance, where companies are increasingly linking AI usage to performance and growth.
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