Bank of America Reports 30 Billion Digital Client Interactions in 2025

Mar 12, 2026
Bank of America reported a record 30 billion digital client interactions in 2025, driven by AI tools like its virtual assistant Erica and digital payment services such as Zelle and CashPro.
Bank of America Reports 30 Billion Digital Client Interactions in 2025

Bank of America clients interacted digitally with the bank approximately 30 billion times in 2025, marking a 14% increase from the previous year, announced in a press release. The total includes 16.6 billion logins and 13.3 billion alerts sent, both record highs. The number of alert subscribers reached 38 million, with 86% of clients rating their digital experience at least 9 out of 10.

The bank’s AI-powered virtual assistant, Erica, recorded nearly 700 million interactions with 20.6 million users in 2025. Since its launch in 2018, Erica has facilitated over 3.2 billion client interactions. Zelle adoption also grew, with 25 million active users completing 1.8 billion transactions worth $556 billion, representing growth of 16% and 18% year-over-year, respectively.

For business clients, the CashPro platform saw a 20% rise in mobile sign-ins and processed $1.2 trillion in mobile payment approvals, up 15% year-over-year. The Life Plan digital tool, which helps clients manage financial goals, has reached 21.5 million plans created, with 3 million users engaging in Spanish.

The bank received over 300 awards for digital leadership in 2025, including top rankings from J.D. Power and Keynova Group, and a Forrester Technology Award for Data & AI Impact.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.