Wells Fargo CEO Charlie Scharf said the bank is focusing on growing revenues and increasing returns during a recent interview on CNBC.

This strategic shift comes as the financial sector navigates the integration of artificial intelligence and digital assets to maintain profitability. The bank's ability to hit aggressive income targets will signal whether traditional banking giants can successfully pivot toward these emerging technologies.

Speaking on the "Squawk on the Street" program, Scharf outlined a growth strategy that incorporates the impact of AI on jobs and the implementation of tokenized deposits. He said, "We're focused on growing revenues and growing returns."

Financial targets remain a central part of the bank's current trajectory. Wells Fargo reported net interest income of $12.3 billion [1] for the quarter. The bank is currently working toward a target spread income of $50 billion [2] for the full year of 2026.

Scharf's comments regarding AI and tokenization suggest a move toward operational efficiency and modernized asset management. By leveraging AI, the bank aims to optimize internal processes while managing the resulting shifts in the workforce. Tokenized deposits represent a further step into the digitalization of traditional banking ledger systems.

These initiatives are designed to support the bank's broader goal of expanding its financial footprint. The focus on spread income reflects the bank's effort to maximize the difference between the interest it earns on assets and the interest it pays on deposits, a core driver of banking profitability.

"We're focused on growing revenues and growing returns."

Wells Fargo is attempting to balance traditional interest-income growth with a transition toward a more digitized infrastructure. By targeting a $50 billion spread income while simultaneously investing in AI and tokenized deposits, the bank is signaling that it views technological modernization not as a replacement for traditional banking, but as a tool to amplify its existing revenue streams.