Chase CIO: AI Agents Change What Engineers Do

Agentic AI is reshaping professional responsibilities, with experts noting that value from AI implementation is often challenging to achieve. Gill Haus, CIO at Chase, highlights that true AI value comes from reimagining processes through an agentic lens rather than simply adopting new models.

Chase is observing significant shifts in roles, particularly for engineers. Haus explains that his team now hires engineers based on their ability to determine 'what code to write,' as AI agents can handle the actual coding. This allows engineers to focus on more complex tasks, moving beyond the tedium of traditional coding.

To effectively leverage AI, Chase focuses on three core principles: creating seamless services, delivering secure products, and enabling reliable outputs. The firm has developed an internal agentic platform, LLM Suite, to provide secure access to large language models for all employees, aiming to improve customer experiences and operational efficiency.

Security and reliability are paramount, especially in the banking sector. Haus stresses the importance of data protection, consent, and privacy, ensuring AI usage adheres to strict regulatory guidelines. For outputs, the probabilistic nature of AI necessitates guardrails and human oversight to ensure accuracy, especially in financial applications.

The future workplace will integrate AI and humans, requiring professionals to adapt to new ways of working. Haus advises business leaders to focus on defining desired outcomes and ensuring AI outputs are holistically considered, rather than solely relying on code generation. This proactive approach is key to scaling AI adoption safely and productively.