Brian Moynihan

speaker

391 appearances 9 recordings 3 series first heard Dec 2025 last heard 3 Jun

Brian Moynihan’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 9 in all, peaking in Jan 2026 with 7.

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Bloomberg Talks · Bank of America CEO Brian Moynihan Talks 2026 Outlook, AI & More · 23 Dec 2025 podcast

The interesting thing is we took that, Erica, and we put it in our institutional side business, so CashPro with Erica, and hundreds of thousands of interactions with institutional customers using it to answer questions about their accounts.

Then you took it and put it in an internal environment so people could work with the IT department to get their laptops replaced or passwords changed.

So we use that model plus other models, and we believe it has a big impact.

Where exactly it goes, we'll figure out.

But what we know, there'll be more of it.

It'll be helping people be smarter, more efficient, help us take work out that we can get out and invest in work that helps our customers and our teammates be more successful.

And we are after it every day.

And we have 30 proofs of concept going.

We have money we're spending and all that stuff.

But a lot of this is really fairly...

controlled right now to make sure that we could actually deliver what we say when we put a and i we just can't let it run and have answers that customers won't have faith in and that's why it'll be a little slower build out they think people see but a very relentless build out from your experience so far and what you project out when you look at the return on that investment ai how much of it's from growing the top line that is increasing revenue and how much of it is from cost savings because of use of ai

I think when you look at it in the very near term, it's mostly about process engineering.

So embedding AI in the discrete process to take out work.

And that we've been doing for several years, so we see it.

And before that, we had machine learning and other digitization.

And that was a capability that we built, but also the customer would use.

And that's an operative term here, is the customer has to use the techniques and things that we built.

I think over time, it'll be much more about...

enhancing the revenue side.

And so if you look at our proofs of concept, our projects going in and out, proofs of concept and more implemented, we have a relationship management preparation tools or pitch book preparation tools that allow us to do more

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