Pivotal Roles in Banking
A sector report reading eleven pivotal banking roles task by task against what AI can take on, with role-level evidence and worked workflows.
Why this report
Much of banking is structured decision work: credit assessment, underwriting, transaction processing, and regulatory checks against defined criteria. That makes it a function where the AI question can be answered with evidence rather than speculation. This report reads eleven roles spanning retail and investment banking, from credit and underwriting through dealmaking, research, trading, and the branch, task by task against what AI can take on today.
What it shows
Every figure traces back to observed work. Each role is broken into its tasks, and each task assessed against four AI capabilities to produce an automation potential: the share of measured task time open to AI support. The report covers the cohort picture, a ranking of the eleven roles, the four themes of work that cut across them, and worked AI workflows ready for teams to adopt.
The headline
Across the cohort, mean automation potential is 36%, and every role lands in a band between 30 and 44%. No role is untouched and none is close to fully exposed. The function changes as a whole, which makes the response a function-wide redesign rather than a defensive exercise around a few roles.