Citizens Financial Group reported a strong Q1 2026 with EPS of $1.13, positive operating leverage, and NIM expansion. Management reaffirmed its full-year guidance, citing robust capital markets pipelines and continued growth in strategic initiatives like the private bank and Reimagine the Bank program. Q1 EPS of $1.13, with ROTC of 12.2%.
Citizens Financial Group reported a strong Q1 2026 with EPS of $1.13, positive operating leverage, and NIM expansion. Management reaffirmed its full-year guidance, citing robust capital markets pipelines and continued growth in strategic initiatives like the private bank and Reimagine the Bank program. Q1 EPS of $1.13, with ROTC of 12.2%.
Citizens Financial Group reported a strong Q1 2026 with EPS of $1.13, positive operating leverage, and NIM expansion. Management reaffirmed its full-year guidance, citing robust capital markets pipelines and continued growth in strategic initiatives like the private bank and…
Q1 EPS of $1.13, with ROTC of 12.2%.
Management discussed leveraging AI to assist in writing code, expecting material productivity improvements in software development and cutting cycle times. They are also using AI to improve customer interactions, expecting to materially cut call volumes, with a goal of having…
NIM expanded to 3.14%, driven by reduced drag from terminated swaps and non-core runoff.
Management discussed leveraging AI to assist in writing code, expecting material productivity improvements in software development and cutting cycle times. They are also using AI to improve customer interactions, expecting to materially cut call volumes, with a goal of having 25% of calls answered by non-humans by end of 2026, ramping to 50% in 2027. They emphasized deploying models like Claude an
Management reaffirmed the annual guidance (4.5% expense growth, NII growth, NIM expansion) and expressed confidence in hitting the 2027 ROTC target, despite geopolitical and macro uncertainty. The tone was cautiously optimistic, with the bank staying on its investment plan.
Management reaffirmed staying on their investment plan for the year unless the macro takes a meaningful turn for the worse. They continue to invest in the private bank (opening new offices) and Reimagine the Bank program, which includes technology and AI initiatives, with a target of $100 million in 2026 exit run rate benefits and $450 million by end of 2028.
Management expressed optimism about strategic execution, capital markets pipeline, and ability to achieve targets despite geopolitical tensions, while acknowledging uncertainties.
“we've seen them back into the market. We are launching several transactions and part of several transactions that were postponed in March that are getting very good reception now in April”
“we've deployed Claude to our we're already seeing a very material productivity improvement”
Mention of Claude (by Anthropic) was made in the context of the bank's own technology deployment, not about the company's business trajectory.
Got it. And maybe just as my follow-up, Bruce, in the slides you highlighted some of the things that you're doing with Reimagine the Bank, including incorporating LLMs and a handful of things on AI. I guess, given the pace of change we're seeing in the markets in areas like AI, Are there opportunities to accelerate any of these initiatives or adjust the timing, given, again, just the rapid pace of change that we're seeing? Thank you.
Your question is principally about AI, but one point on the non-AI front, you saw from us in the quarter, the Reimagine the Bank initiative was principally self-funded by quick wins that were non-AI based. And so we've already got over 30 million in projected vendor saves for the year in the box with an expectation that that number goes up. We've closed 19 corporate facilities, smaller facilities that's driving savings that has offset the investment already. So you're seeing real tangible impact in the program already this early in the year. On the AI front, I'd say two things. One is you're right to point out the risk of speed of execution also is the speed of obsolescence. So as we put these in place, the idea that the best answer could be different in a quarter is very much front of our mind. So we're architecting all the things that we're building to be even more nimble than you might expect from a tech standpoint in the past. So as new models come up, we can easily plug and play and make sure we're taking advantage of the latest and greatest. So that's very much front of our mind. We very much have real AI use cases in market today. So in the call center, as an example, we've told you we expect to get 50% of the calls out by the end of the period. It's already in pilot. In fact, we expect inside of this calendar year, by the end of the year, we should have 25% of our calls answered by non-humans with the expectation that will ramp in 27 to 50%. That really should hit in the summer and into the early fall. So this is very real. This isn't a backloaded program all coming in 2028. In the tech space, as an example, we've deployed Claude to our we're already seeing a very material productivity improvement and leverage we're getting on our capital investment and deployment, ranging from 30% improvement in productivity that in some tests we've done, it's been a 5 to 10 times improvement in productivity. So now we're working on scaling it and engineering it for real scale. So we are moving very, very fast. We're keeping up with the pace, and it's live and in production, and our confidence is building.
The bank is using AI (specifically Claude by Anthropic and other LLMs) in software development, with productivity improvements of 30% to 5-10x, but sees an obsolescence risk. — Confirms enterprise adoption of Anthropic's technology, but indicates the risk of model obsolescence is being actively managed.
Got it. And maybe just as my follow-up, Bruce, in the slides you highlighted some of the things that you're doing with Reimagine the Bank, including incorporating LLMs and a handful of things on AI. I guess, given the pace of change we're seeing in the markets in areas like AI, Are there opportunities to accelerate any of these initiatives or adjust the timing, given, again, just the rapid pace of change that we're seeing? Thank you.
Your question is principally about AI, but one point on the non-AI front, you saw from us in the quarter, the Reimagine the Bank initiative was principally self-funded by quick wins that were non-AI based. And so we've already got over 30 million in projected vendor saves for the year in the box with an expectation that that number goes up. We've closed 19 corporate facilities, smaller facilities that's driving savings that has offset the investment already. So you're seeing real tangible impact in the program already this early in the year. On the AI front, I'd say two things. One is you're right to point out the risk of speed of execution also is the speed of obsolescence. So as we put these in place, the idea that the best answer could be different in a quarter is very much front of our mind. So we're architecting all the things that we're building to be even more nimble than you might expect from a tech standpoint in the past. So as new models come up, we can easily plug and play and make sure we're taking advantage of the latest and greatest. So that's very much front of our mind. We very much have real AI use cases in market today. So in the call center, as an example, we've told you we expect to get 50% of the calls out by the end of the period. It's already in pilot. In fact, we expect inside of this calendar year, by the end of the year, we should have 25% of our calls answered by non-humans with the expectation that will ramp in 27 to 50%. That really should hit in the summer and into the early fall. So this is very real. This isn't a backloaded program all coming in 2028. In the tech space, as an example, we've deployed Claude to our we're already seeing a very material productivity improvement and leverage we're getting on our capital investment and deployment, ranging from 30% improvement in productivity that in some tests we've done, it's been a 5 to 10 times improvement in productivity. So now we're working on scaling it and engineering it for real scale. So we are moving very, very fast. We're keeping up with the pace, and it's live and in production, and our confidence is building.