Gill Haus explains Chase’s approach to AI - and getting the core fundamentals right.

Evidence suggests that delivering value from AI is hard. With 91% of professionals saying their firm still falls short on AI, business leaders and professionals have lots of work to do to ensure emerging tech explorations become useful production services.

Also: Why replacing staff with AI backfires: 5 ways smart leaders generate real value instead

Gill Haus, chief information officer at Chase, the consumer banking arm of JPMorgan Chase & Co, recognized that creating value in the age of AI is about much more than deciding to implement a hyped-up model or service.

“Saying that you’re going to be efficient by putting a target in place is not the same thing as reimagining your processes through an agentic lens,” he told ZDNET.

Haus said it’s crucial to understand that roles and responsibilities will shift, and AI is already transforming the work that Chase staff fulfill, both in the IT department and beyond.

“We are seeing that our traditional engineer, who was writing code in the past, can do more than just write code,” he said. “And a product leader in the business, who traditionally was creating stories, can now write more code.”

As agents become part of the internal operating fabric, the resulting workplace will blend AI and humans.

Haus said it’s already possible to see this transformation at Chase, particularly in coding, and the people who fulfill engineering roles. This impact shows up in ways that would have seemed surprising only six months ago.

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