Citigroup reported its best third-quarter revenue in a decade on October 13, 2026, with net income up approximately 40% year over year.
But the most substantive exchange on the earnings call was how far Citi has actually gone in deploying AI, and what it has to show for it.
CEO Jane Fraser used her prepared remarks to lay out how Citi thinks about AI across four dimensions — growth, efficiency, employee training, and cyber defense.
She described the bank's multi-year technology transformation as having delivered the foundation needed to "implement AI firm wide," and said the firm is now seeing that investment translate into measurable operational outcomes.
CFO Gonzalo Luchetti said Citi is deploying approximately $2 billion per year in technology investments, directed at both maintaining core capabilities and building on them, with AI layered on top driving further process improvements.
What AI Has Changed Inside Citi
The firm's primary agentic coding tool, Devon, is now used by 14,000 engineers across the bank. Fraser said this adoption contributed to a 30% year-over-year reduction in tech vendor spend and accelerated new product launches by 30–40%.
Beyond engineering, Fraser said the bank has identified around 100 of its most manual processes and has either completed or is in the process of re-engineering them end to end using AI and automation, framing it as a systematic effort to remove structural inefficiencies rather than apply AI at the margins.
On the client-facing side, AI tools for client service agents are now live in two countries, with response times improving by 21%, according to the company.
Luchetti, on the expense question, described AI and automation as the mechanisms through which the firm expects to unlock structural efficiencies over time, the kind that show up in the expense base rather than in any single quarter.
CFO Gonzalo Luchetti said Citi is deploying approximately $2 billion per year in technology investments, directed at both maintaining core capabilities and building on them.
Fraser added that AI is layered on top of that base, driving further process improvements. Luchetti, in response to an analyst question on expenses, described AI and automation as the mechanisms through which the firm expects to unlock structural efficiencies over time.
On the Broader Ecosystem
Fraser said Citi has not seen a slowdown in investment in the AI ecosystem. She flagged compute and energy as the primary bottlenecks and said continued investment to address those constraints is needed globally, not just in the United States.
On cybersecurity, she acknowledged that AI puts powerful tools in the hands of bad actors, describing it as arriving "in a world that is deeply interconnected," and said she is "very happy with how we are deploying the frontier models securely." This suggests the firm has moved past evaluation into active production use of frontier-tier AI.
When an analyst referenced an industry survey on AI adoption among major banks, Fraser said she was "offended that we were merely in the top 10." It was the most pointed remark of the call on the subject, and a signal that Citi's leadership considers the bank's AI progress underrecognized relative to what has actually been built.