The global financial sector is running two simultaneous AI races, Citi CEO Jane Fraser said in an interview. One is offensive - embedding AI into business models to generate revenue. The second is a defensive sprint to protect the financial system from the same technology's threats. The dual effort reflects the urgency inside the third-largest U.S. bank as AI reshapes product cycles and security requirements at pace.
The race to apply AI
Fraser described the first priority as integrating AI across operations to boost performance. "One is to apply AI to the business models, which we all have to do as that will help drive revenue growth," she said. Shorter product development cycles and new revenue streams are expected outcomes, she added, while efficiency gains and better customer service are already visible. Banks are deepening their focus on AI for Finance as these tools compress timelines from months to weeks.
Technology is helping the bank serve customers more accurately and cut internal friction, Fraser noted. Those changes are not future promises - they are live, measurable improvements in daily operations.
The defensive imperative
While one team builds growth engines, another is hardening infrastructure. "These AI models are very powerful, and our job is to make sure the financial system, the bank, our customers and the ecosystem we operate in are secure," Fraser said. Sophisticated threats driven by the same underlying models demand constant reinforcement of digital defenses.
The bank is treating security not as a compliance checkbox but as a core strategic layer. Fraud attempts, deepfakes, and automated attacks all scale faster when powered by generative AI. Defensive work includes hardening authentication, monitoring anomalies, and securing third-party connections.
Fraser acknowledged that AI will cause job dislocations. New roles will emerge, she said, though the transition may not be perfectly timed. The net effect on employment remains uncertain, but the changes require finance leaders to understand both the technology and its organizational impact. An AI Learning Path for CFOs can help senior finance executives frame the strategic questions this shift creates.
Why this matters for finance professionals
Citi's three-pillar view - growth, efficiency, security - defines the skills finance teams need now. Professionals who grasp how AI accelerates product launches and restructures workflows will lead implementation rather than react to it. Those who understand adversarial AI risks will be essential to compliance and trust. For anyone building a career in banking or corporate finance, the message is clear: technical literacy is no longer optional, and waiting for the transition to time itself perfectly is a losing strategy.
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