Wall Street Banks Cut Jobs with AI While Profits Rise

AI’s Role in Wall Street Job Cuts Amid Rising Profits

Major banks on Wall Street have recently cited AI as a factor in significant job reductions, even though their quarterly profits have reached impressive heights. In the first quarter alone, the six largest banks cut around 15,000 jobs while collectively reporting profits of $47 billion, marking an 18% increase from the previous year. Institutions like JPMorgan Chase, Citi, Bank of America, Goldman Sachs, Morgan Stanley, and Wells Fargo have indicated that AI’s integration into their operations has contributed to these layoffs.

The changing narrative on AI’s effect on employment was highlighted by Bank of America CEO Brian T. Moynihan. Just four months after he told the bank’s vast workforce of 210,000 employees that AI wouldn’t threaten their jobs, he revealed the elimination of 1,000 positions through attrition, specifically identifying AI as a factor in “eliminating jobs and applying technology.”

“AI gives us a place to go that we haven’t gone before,” Moynihan remarked after the bank reported a first-quarter profit of $8.6 billion, which is $1.6 billion higher than last year.

AI applications in banking range from back-office tasks to specialized front-office roles. Banks are utilizing AI technology for automating compliance processes, approving account openings, generating invoices, reviewing legal documents, and managing sensitive customer information—tasks that once required thousands of employees across different skill sets and pay scales.

Citi is planning to cut its workforce by 20,000 through a strategy described as a commitment to efficiency and productivity. The bank employs AI tools from Anthropic, Google, Microsoft, and OpenAI to handle tasks like automatically reading legal documents and processing customer data. The recent job cuts affected employees not just in traditional hubs, but also in lower-cost locations such as San Antonio, Tucson, and Tampa, where banks have shifted jobs in recent years.

Interestingly, some of those laid off were part of Citi’s AI Champions & Accelerators program, which encouraged colleagues to adopt AI while carrying out their usual responsibilities.

Wells Fargo has also integrated AI to assess borrower’s creditworthiness, create merger pitch books, and handle customer service calls through automation. The bank has consistently reduced its workforce over the past year.

CEO Charlie Scharf has openly discussed the job implications of this technology. He remarked, “These are all opportunities to do things much more efficiently with AI than humans have been able to do,” while noting that many executives are hesitant to acknowledge the inevitable reduction in headcount.

The layoffs aren’t confined to high-paying roles on Wall Street. Despite Wall Street distributing $49.2 billion in bonuses last year, job cuts are affecting employees across different roles and salary ranges nationwide.

On a more optimistic note, some executives at Morgan Stanley feel secure, claiming their roles won’t be replaced by AI. The bank’s head of wealth management likened their AI investment tool to “JARVIS from Iron Man, but for managing your money,” making a playful comparison to cinematic technology.

Yet, concerns linger about the broader implications of AI on the banking sector. Analyst Stephen Alexopoulos wrote a detailed report for TD Bank, forecasting that while AI might initially boost profits, it would ultimately lead to a downturn as customers leverage this technology for better rates and loans, potentially resulting in further layoffs and closures.