JPMorgan Urges Engineers to Embrace AI on a Large Scale

JPMorgan Chase: An AI Revolution for Its Software Engineers

The banking giant JPMorgan Chase, under the leadership of CEO Jamie Dimon, has recently set ambitious new goals for its software engineers. The objective is clear: to enhance productivity and code quality through the integration of artificial intelligence (AI). This initiative reflects a growing trend within the bank, where expectations regarding the use of AI by developers are continuously increasing.

A Call for Massive AI Adoption

Internal communications from JPMorgan reveal that the bank has updated its goals for developers globally. The message is unequivocal: adopting AI is now a necessity to avoid being left behind. These guidelines, published on the company's intranet, primarily concern the Global Technology division, which employs 65,000 people. Software and security engineers are now required to "promote excellence" by integrating AI into their daily practices, thereby contributing to improvements in productivity, speed, and impact.

Clear Goals for Developers

An internal document, drafted by JPMorgan's human resources leaders, outlines two main objectives for engineers: to refine their coding skills and to leverage AI to save time and accomplish more. These new goals will be automatically integrated and visible by the end of March, marking a significant shift in expectations for employees. The bank also encourages its engineers to set clear objectives with their managers, in line with this new strategic direction.

The goals include measurable improvements in code quality, speed, and productivity through the use of AI-based coding assistance tools. Engineers are also expected to identify and optimize automation opportunities in technology lifecycle management (TLM) processes, ensuring that all enhancements leverage current technological resources before considering new solutions.

Growing Pressure for AI Adoption

Although JPMorgan has not officially commented, it is clear that the bank is investing heavily in technology and AI, with projected investments reaching $20 billion by 2026. This amount far exceeds that of its competitors, such as Goldman Sachs. In the American business landscape, companies like Meta and Google are also encouraging their employees to adopt AI tools, and in some cases, evaluating their usage.

Business Insider spoke with five JPMorgan engineers who confirmed the growing pressure to adopt AI. This pressure manifests in management discussions, intranet publications, and dashboards that show who is using AI tools and who is not. Discussions about productivity and AI adoption have intensified in recent weeks as developers prepare for the imminent launch of Claude Code from Anthropic, scheduled for April. Claude Code will join the four other major language models already used by coders: two from ChatGPT by OpenAI and two from Claude by Anthropic.

Developer Anxiety Regarding AI

Developers have been encouraged to use AI tools for various tasks, from writing code to preparing presentations. An internal dashboard tracks the adoption of GitHub Copilot, identifying employees as "light," "heavy," or "non" users. This increased monitoring has caused some anxiety among employees, in a company already known for its use of internal surveillance tools and performance tracking.

An experienced developer expressed that those who do not use AI risk being perceived as underperformers. Another reported that their manager highlighted in a meeting that the introduction of new AI tools came with an expectation of a notable increase in speed and output. Despite some discomfort related to monitoring, three of the five developers interviewed acknowledged the usefulness of the tools.

Revising Performance Criteria

In parallel with AI adoption, JPMorgan is also revising its employee performance evaluation criteria. The bank is simplifying its performance "dimensions" into two categories: "what you achieve" and "how you achieve it," incorporating adherence to the company's behavioral principles.

Employees will now be classified into three categories: "Exceeds Expectations" for those who surpass expectations, "Achiever" for the majority, and "Needs Improvement" for those requiring additional support. Another internal page details the expected skills for engineers, including "Data Fluency," which involves adopting new tools or methodologies to leverage data in the workflow.

JPMorgan's internal documents emphasize the company's culture of surveillance and data collection, stressing the importance of continuous performance tracking to keep employees on track throughout the year. "You and your manager will use your goals to track your progress over the year, recognize impact, and streamline your annual evaluation," states an internal page related to the objectives.