Report Finds AI Is Widening the Issuer Performance Gap

⦿ Executive Snapshot

What: A report reveals that AI is exacerbating the performance gap among U.S. card issuers in terms of customer lifetime value (CLTV).
Who: PYMNTS Intelligence and Visa Issuing Solutions, along with 500 executives from U.S.-based card issuers.
Why it matters: The findings highlight that simply adding features is insufficient; successful issuers must prioritize deepening customer relationships to enhance profitability amidst economic pressures.

The report, titled "The Issuer’s Customer Lifetime Value Report: Annual Benchmark in U.S. Card Issuer Performance," analyzes the performance of card issuers based on a survey conducted from December 2025 to January 2026.
Successful issuers focus on creating reliable, everyday experiences that establish their cards as the default choice for consumers, leading to stronger CLTV.
Economic factors like rising interest rates and inflation are impacting issuers’ abilities to maintain performance, particularly those relying heavily on new customer acquisition.
High-performing issuers utilize data and AI not just to add features, but to personalize customer experiences and make informed real-time decisions, enhancing their business efficiency.
The report emphasizes that top performers balance new customer growth with nurturing existing customer relationships through cross-selling and increased engagement.

Historically, card issuers have aimed to grow customer value through feature expansion and aggressive acquisition strategies, but this report indicates a shift towards relationship management as a key driver of long-term value.
The increasing reliance on technology and AI tools among leading issuers reflects a broader trend in financial services where data-driven decision-making is becoming critical for success.

Immediate implications include the need for issuers to reassess their growth strategies, moving from a focus on acquiring new customers to enhancing relationships with existing ones to boost profitability.
Long-term implications suggest that issuers who successfully integrate data and AI into their customer engagement strategies will likely outperform competitors in the evolving digital banking landscape.

Potential risks include regulatory challenges that may arise from increased data usage and AI implementation in customer relationship management.
Competition from fintech companies that prioritize customer experience and leverage technology more effectively poses a significant threat to traditional issuers.

Future developments such as the adoption of more sophisticated AI tools and customer engagement strategies will be crucial for issuers looking to close the performance gap.
Monitoring changes in economic conditions, such as interest rates and inflation, will provide insights into how these factors continue to influence issuer performance and strategies.