Hari Gopalkrishnan on investment strategy
From Bank of America Chief Technology and Information Officer Hari Gopalkrishnan at Semafor World Economy · · Semafor Events
“Our prioritization model is a combination of top down where we have a bunch of business strategies... But in addition to that, we are holding listening sessions with our teammates. We've generated about thousands of ideas where our teammates are telling us, 'Hey, here's where I'm spending too much of my time in toil-based activities.' We marry the top down and the bottoms up and come up with the things that actually yield the most best amount of returns and then prioritize that against the $4 billion of new investments we're going to put out there.”
On , Hari Gopalkrishnan, Chief Technology & Information Officer at Bank of America, spoke about investment strategy during Bank of America Chief Technology and Information Officer Hari Gopalkrishnan at Semafor World Economy on Semafor Events.
About Hari Gopalkrishnan
At the Semafor World Economy event on April 30, 2026, Bank of America Chief Technology and Information Officer Hari Gopalkrishnan discussed the institution's approach to artificial intelligence deployment. He described a shift from proof-of-concept projects focused on small tasks to end-to-end process transformation aimed at revenue, client experience, or expenses. Gopalkrishnan stated that the bank uses a prioritization model combining top-down business strategies with bottom-up ideas from over a hundred listening sessions with employees, generating thousands of suggestions on reducing toil-based activities. He said these are prioritized against $4 billion in new investments. Gopalkrishnan also highlighted the bank's focus on data, compute, security, resiliency, governance, and human oversight as crucial for AI in finance. He noted that Bank of America has established an academy for reskilling and upskilling on AI, covering topics from basic prompt engineering to advanced development, and that 44% of jobs in recent years were filled through internal mobility. He expressed optimism about AI's potential to improve client service through data, personalization, and digitization.