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Hari Gopalkrishnan on AI strategy

From Bank of America Chief Technology and Information Officer Hari Gopalkrishnan at Semafor World Economy · · Semafor Events

“The big pivot from last year to this year I'd characterize in four dimensions. First is shifting from proof of concepts that were focused on small tasks to actual end-to-end process transformation where you're going after big opportunities that are going to transform either revenue, client experience or expenses.”

Hari Gopalkrishnan
Chief Technology & Information Officer, Bank of America
Policy Impact AI strategyprocess transformationrevenue impact

On , Hari Gopalkrishnan, Chief Technology & Information Officer at Bank of America, spoke about AI strategy during Bank of America Chief Technology and Information Officer Hari Gopalkrishnan at Semafor World Economy on Semafor Events.

Bank of America Chief Technology and Information Officer Hari Gopalkrishnan at Semafor World Economy
Watch on YouTube at 0:32
Bank of America Chief Technology and Information Officer Hari Gopalkrishnan at Semafor World Economy
Semafor Events
Watch on YouTube at 0:32
This is a partner session produced by Semafor's commercial team. Semafor's editorial staff had no role in this video's creation or distribution.
Hari Gopalkrishnan

About Hari Gopalkrishnan

Chief Technology & Information Officer · Bank of America

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.

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