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Citi Rebuilds Cards Around Affluent Customers and AI
PYMNTS · 2026-05-08 · via PYMNTS.com

Highlights

Citi used Investor Day to position AI as an operating layer spanning cards, payments, servicing, underwriting and wealth management.

Citi’s cards business is leaning harder into affluent customers, co-brands and AI-driven personalization as private-label cards lose momentum.

Executives argued that technology modernization and AI automation are now tied directly to efficiency gains and future revenue growth.  

Citi’s Thursday (May 7)  Investor Day presentation sketched out a bank betting on a technology-driven growth strategy, with executives demonstrating that artificial intelligence (AI) is now moving from back-office experimentation into a core operating layer across cards, payments, wealth management and consumer banking.

CEO Jane Fraser framed the effort as a natural one for a bank that spent years rebuilding infrastructure and simplifying operations.

“We rebuilt the engine,” CFO Gonzalo Luchetti later said, describing the firm’s investments in infrastructure, automation and controls as foundational to Citi’s next phase of growth.

Fraser described AI as an “end-to-end” capability across the organization, while other executives’ commentary during separate presentations highlighted ambitions around “AI personal shoppers” and broader automation tied to the U.S. consumer base.

Andy Sieg, Citi’s head of wealth, described the strategy in more concrete operational terms. AI orchestration, along with “intelligently routing information and triggering actions in real time [ensure] that the right insights reach the right person at the right moment,” Sieg said. “We’re embedding AI seamlessly across our platform and partnering with true leaders like Google and Palantir to make it happen.”

Sieg added that Citi’s objective is to build “an autonomous intelligence system that enables personalized insight for every client 24/7 and at scale.”

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That AI discussion extended beyond wealth management into payments and treasury services. Citi’s Shahmir Khaliq, head of services, described AI as being in the “early stages,” but pointed to instant payments and cross-border transaction capabilities as key areas where the technology could reshape client operations. His presentation referenced seven separate AI use cases tied to payments modernization and cross-border innovation.

Luchetti said Citi expects AI and automation to become increasingly important to margins. “Our approach to expense management is to maintain strong cost discipline on a tactical basis and continue to drive structural efficiencies through tech and AI automation,” he said.

Cards Strategy Shifts Toward Affluent Customers and AI Personalization

Among the business-level growth push, Investor Day centered on Citi’s U.S. consumer cards franchise, where executives argued the bank is repositioning itself around affluent consumers, co-brand partnerships and AI-enabled engagement tools.

Pam Habner, head of U.S. consumer cards, said Citi has been reducing exposure to traditional private-label retail cards while investing more heavily in general-purpose and co-branded products. Materials accompanying her discussion indicated that general-purpose cards now account for 92% of spending activity, up from 89% in 2022, reflecting Citi’s shift away from private-label cards.

Habner repeatedly emphasized the importance of premium and affluent cardholders to Citi’s broader strategy. The bank increased the share of affluent customers with incomes above $150,000 by more than 600 basis points since 2022.

Citi executives also highlighted expanded partnerships with American Airlines and Costco, alongside efforts to bring more spending activity into Citi’s ecosystem of travel, dining and rewards products. Habner described the strategy as a “virtuous cycle of growth” fueled by partnerships, customer loyalty and digital engagement.

AI again surfaced as a core theme. Habner said Citi is deploying AI models in underwriting, customer servicing, marketing and collections. “This isn’t just about playing defense and reducing expense,” she said. “It’s about playing offense, leveraging AI to win with customers and unlock top-line growth.”

She pointed to specific operational examples, including AI-driven underwriting models that increased approval rates while staying within Citi’s existing risk framework. Citi also said AI-enabled servicing tools reduced customer-service handling times and improved digital collections efficiency.

Habner also outlined Citi’s early thinking around agentic commerce. “An AI agent could automatically rebook a canceled flight and arrange transportation, paying with the card that offers the best travel benefits and protections,” she said.

Still, executives spent at least as much time discussing credit discipline as futuristic commerce models.

Habner acknowledged investor concerns around rising credit losses, saying Citi has been deliberately steering the portfolio toward higher-FICO borrowers and lower-risk general-purpose lending. “Strong risk discipline has allowed us to grow loans while stabilizing loss rates,” she said.

Luchetti reinforced that message, saying the bank’s consumer portfolio remains heavily weighted toward prime borrowers. “We are carefully managing a stable prime U.S. consumer portfolio with 85% of FICO scores greater than 660,” he noted.

He also argued that Citi’s broader transformation is beginning to show through financially. “We are confident in our trajectory,” Luchetti said. “This is a new era for Citi.”