Banks Signal Accelerated AI Push to meet 2026 Challenges

Banking chiefs are signaling a sharper acceleration in artificial intelligence adoption as institutions look ahead at 2026, driven by maturing models, improved agent design tools, and large scale enterprise deployments.

Senior leaders speaking during recent earnings calls said AI is moving beyond experimentation and into core banking workflows, with growing confidence that the technology will meaningfully reshape processes, systems, and productivity over the next several years.

At BNY, chief executive Robin Vince said the firm made significant progress in AI adoption over the past year, describing the advances as evidence of industry leadership in a rapidly evolving space.

Vince highlighted the bank’s collaboration with Google Cloud to integrate Gemini Enterprise capabilities into its proprietary AI platform, Eliza, alongside an expanded partnership with OpenAI to deploy models at scale.

“We expect that, over time, AI will allow us to remake many of our processes and systems in new and exciting ways,” Vince said during the bank’s earnings call on January 13.

Other major lenders echoed that view, though some cautioned that the full benefits of AI investments are still emerging.

At Bank of America, chief executive Brian Moynihan said the firm has invested several hundred million dollars in artificial intelligence, with around 20 projects underway across the organization.

Moynihan noted that while AI is already contributing to improvements in certain areas, broader returns are expected to materialize as the technology is applied more consistently across the business.

“Next year, we should get more out of it as we figure out and apply it across the company,” he said during the bank’s January 14 earnings call.

Industry research suggests banks are already seeing tangible benefits in key functions. A report published last week by Accenture found that AI agents and generative AI are delivering gains in software engineering productivity, risk management, and customer service operations.

Michael Abbott, senior managing director and global banking lead at Accenture, said the pace of change is creating opportunities rather than constraints for the sector.

“If you think of all the changes going on right now not as constraining but as unconstraining, you think of it in a very different way,” Abbott said. “There is an enormous amount of opportunity about to be unleashed in banking.”

At Citigroup, chief executive Jane Fraser said the firm is evaluating how artificial intelligence can be embedded into more than 50 of its largest and most complex processes.

These range from know your customer checks to loan underwriting and other core financial services activities.

Fraser said applying AI across these processes is expected to unlock efficiencies that would have been difficult to imagine just a few years ago.

“Implementing AI into those processes will drive new sources of efficiency that we couldn’t have imagined three to four years ago,” she said.

She added that with much of Citi’s broader transformation efforts now behind it, the focus is shifting toward using AI and automation to innovate and simplify operations.

“We are shifting our focus to how we can use AI tools and automation to further innovate, reengineer and simplify our processes, beyond risk and controls, to improve client experience whilst reducing expenses,” Fraser said during the bank’s January 14 earnings call.

Taken together, executive commentary suggests 2026 could mark a turning point for AI in banking, as early investments move from pilots to scaled deployment.

While challenges around governance, integration, and return on investment remain, banks appear increasingly confident that artificial intelligence will become a foundational capability rather than a peripheral experiment.