A new report attempts to put hard numbers on a question hanging over every Wall Street corner office: just how much of banking work will AI actually change?

Artificial intelligence is on track to redefine 44% of the work done at banks by 2030, according to ThoughtLinks, an independent consulting firm.

ThoughtLinks — which is led by founder and CEO Sumeet Chabria, a former tech and operations COO at Bank of America and a Wall Street veteran — mapped nearly 5,000 individual banking "processes" to see which roles or units at banks will experience the most upheaval in their roles.

ThoughtLinks found that tech, engineering, and infrastructure—collectively considered one sector — would be most susceptible to transformation, with a projection of 55% of the work involved in that sector being redefined by 2030. It's a logical outcome, considering how many of the tasks in these fields are precisely the kinds that automation is best suited to handle.

Front office, client-facing sectors are hardly immune. Commercial banking could be redefined by as much as 49% by 2030, wealth management to the tune of 42%, and investment banking by as much as 33%, according to the report.

Wall Street banks are investing heavily to compete. JPMorgan has deployed a large language model suite to its 200,000 employees, while Goldman Sachs has rolled out its own ChatGPT-like sidekick, GS AI Assistant. Citigroup also last week announced a new leadership team to drive AI strategy for its nearly quarter-million workers worldwide.

It's important to note that these numbers do not reflect ThoughtLinks' predictions about how many jobs could be lost or created as a result of AI — rather, they look at how much of the work done by those who work in banks could be done differently thanks to the implementation of artificial intelligence.

To assess how much each banking process could be redefined, ThoughtLinks developed a framework that maps what bank employees do to nearly 5,000 individual "processes." "'Redefined' reflects substantial AI-enabled, process-level change via automation, resequencing, elimination, or redesign," the firm wrote in its report.

In an interview, Chabria said that breaking finance jobs down to their most basic components would be critical to understanding how to retrain workers in the face of the AI revolution. "Clearly, you've got to keep the level of agility," he said, "because things are going to change."

Chabria shared three examples with Business Insider of how he anticipates sectors to respond to AI-driven changes. We got a look at snapshots for commercial banking, investment banking, and wealth management. Take a look at what's already transforming, what will be adapted by 2030, and the parts of the job that may stay mostly in the hands of humans for now.

What's already being automated:

What is expected to be redefined by 2030:

What is likely to resist being redefined by AI: