JPMorgan starts factoring ChatGPT and Claude usage into engineer evaluations

JPMorgan is making AI use not a facultative habit, but part of everyday work. The bank asks around 65 thousand engineers and technology specialists to regularly apply AI tools, and managers already track how actively employees do this.

New Work Standard

It's not about a one-time initiative for experiments, but an attempt to embed generative AI into the normal production process. Essentially, JPMorgan is signaling to technical teams that work without such assistants no longer counts as a neutral option. If previously an employee could try ChatGPT or Claude on their own initiative, now using such services turns into an expected part of the daily routine.

For a large bank, this is an important shift. In the financial sector, new tools usually go through a long approval cycle due to security, compliance, and result quality requirements. So the fact that one of the world's largest financial organizations moves AI from the "you can try it" category to the work standard category shows: inside corporations, the next stage of implementation has begun, where what is valued is no longer interest in the technology, but discipline in its application.

How This Will Be Measured

Based on available information, managers track how often employees use AI tools, and this activity may affect performance reviews. This changes the logic of implementation itself. When a company simply opens access to new technology, its usage grows slowly and unevenly. When metrics appear and are tied to work evaluation, AI starts to be perceived as part of professional effectiveness, not as a personal choice of a particular engineer. In practice, such an approach might push teams to use AI in various tasks:

• preparing code and documentation drafts
• quick search for solutions to technical problems
• summarizing long specifications and internal materials
• accelerating reviews, analysis, and communication between teams
• preparing first versions of texts, requests, and work notes

Notably, the bank, judging by the description, promotes not some closed tool, but familiar market products like ChatGPT and Claude. This makes the signal even stronger: JPMorgan is not simply testing trendy software, but forming in its employees the habit of working in tandem with several AI assistants and doing so regularly.

Why Culture Is Changing

The big news here is not even in the tracking itself, but in the change of corporate standard. Just recently, companies discussed whether generative AI could be allowed inside sensitive processes at all. Now the question shifts: why shouldn't an employee use AI if they have access to tools that promise to speed up work.

For engineers, this means the emergence of a new unspoken expectation: the ability to work with AI becomes part of basic digital literacy, almost on par with mastery of IDE, version control systems, and internal knowledge bases. Such an approach has a downside too. If frequency of use starts affecting employee evaluation, companies will need to carefully separate real productivity from formal "clicking" in the interface.

Otherwise, the metric easily turns into a game of request quantity, not result quality. But even with this risk, JPMorgan's decision shows where the market is moving: AI is increasingly considered not as a bonus for enthusiasts, but as a mandatory layer of everyday office and engineering work.

What This Means

JPMorgan essentially shows the future model for large employers: access to AI itself is no longer sufficient; measurable use becomes important. If this approach takes hold, in the coming years, skills in working with AI will be evaluated as practically as development speed, documentation quality, and contribution to team results.