Citi tech chief won't track every AI token spent by employees

Tim Ryan, Citi's head of technology, offered a clear rationale for why the bank will not adopt the granular AI monitoring some of its competitors use. Speaking to Business Insider in May, Ryan explained that "don't measure everything, because you'll stifle it. You have to measure the big things, but don't try to measure every last-mile use case, because, frankly, you'll uninspire people if they feel like they're being watched too much." This philosophy emerged during Citi's second-quarter earnings call, when the bank's CFO name-dropped Ryan while discussing AI efficiencies.

Ryan oversees Citi's nearly $12 billion（約1.9兆円） tech budget and is responsible for ensuring the bank's more than 220,000 employees actually use AI tools—a challenge he frames as a people problem, not a technology one. "I don't think you'll hear anybody stand up and say I won because I chose this LLM or this LLM," he said. "Where they will win or lose is how they bring tens and tens of thousands of people along." Nearly 90% of the bank's employees were using AI tools in the second quarter, and the firm has hundreds of AI use cases in operation.

To scale adoption, Citi relies on a 4,000-person peer-to-peer training program and is focusing on scaling the use of agents in coding. Ryan said the bank does track spending and encourages employees to use the lowest-cost model that meets their needs—"you don't need a Ferrari to do some of the stuff"—and measures "the big things" with ROI attached. However, he explicitly rejected the model used by JPMorgan (which maintains AI dashboards for individual engineers) and Goldman Sachs (which tracks teams' velocity), saying such granular monitoring risks making employees feel monitored and, ultimately, discouraging adoption.

Ryan also addressed the job cuts looming over the bank. Citi committed to cutting up to 20,000 jobs over three years, and headcount fell to 219,000 by the second quarter. When asked how he was thinking about headcount and AI, Ryan acknowledged fear among engineers but did not explicitly link job cuts to the technology. Instead, he said his focus was on reducing contractors relative to full-time employees and being "smart about hiring, so we can make sure we grow into growth and minimize the number of pressure layoffs." He emphasized transparency: "We've been incredibly open about that with our people, and while it doesn't take the fear away, it reduces it and tries to help people focus on what they can control."

Tim Ryan's stance on AI monitoring reflects a deliberate strategic choice about how to drive technology adoption at scale. While the banking industry grapples with token cost inflation—Coinbase has instituted weekly price caps, Walmart has placed usage limits on internal tools, and JPMorgan's CFO has flagged token spending as an increasingly important question—Ryan is prioritizing psychological safety over granular cost tracking. His reasoning rests on a distinction between "metrics and pride": measuring broad adoption and ROI on major initiatives while deliberately avoiding the kind of per-employee surveillance his competitors have implemented.

This approach sits alongside broader organizational pressures at Citi. The bank is cutting up to 20,000 jobs over three years as part of its transformation, which Ryan acknowledged creates fear among engineers. By avoiding detailed monitoring and being transparent about hiring discipline rather than reactive layoffs, Ryan appears to be attempting to decouple AI adoption from job security concerns—a communication strategy rather than a technical one. The logic is that if employees don't feel individually watched, they are more likely to experiment with and fully adopt AI tools, which may paradoxically improve their own productivity and value to the organization.

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