Bank stocks in both the U.S. and Europe pulled back in February as investors grew concerned about how artificial intelligence might disrupt the financial sector. Some worry that AI‑driven job reductions could lead to higher unemployment, weaker consumer credit and pressure on central banks to cut interest rates—all potentially weighing on bank profitability.
But Morgan Stanley Research believes these fears are overstated. In fact, analysts argue that AI is poised to be a net positive for the banking industry.
“In the medium term, we see banks as key beneficiaries of the surging AI capex cycle that has been positively impacting volumes and rates, while disruption risks are manageable,” says Alvaro Serrano, Head of European Banks Research at Morgan Stanley. “While we acknowledge uncertainties, we continue to see an attractive risk‑reward setup for the sector.”
Major global technology companies have announced $740 billion in capital expenditures (capex) for this year alone—a 69% increase over 2025. Banks will play a crucial role in financing and raising capital for these investments, positioning them to benefit directly from the AI infrastructure buildout.
Healthy Credit Trends Despite Labor Shifts
Although early data shows AI adoption contributing to net job losses, the impact is concentrated among junior and entry‑level positions in Europe. And while that shift has broad implications for the workforce, it currently points to a limited impact for banks.
“This cohort is less likely to have a mortgage, for example, which—combined with demographic dynamics—means AI disruption won’t automatically translate into household asset‑quality deterioration,” Serrano says.
So far, there hasn’t been any evidence of credit deterioration. Banks have actually indicated that in the near term credit trends are healthy across segments, with consumers remaining resilient.
Market Volatility and M&A: A Resilient Picture
Another source of investor concern has been the potential drag of market volatility on mergers and acquisitions (M&A)—a key driver of financial sector earnings.
But data and comments from investment bank executives at recent conferences suggest that the deal pipeline remains diversified and resilient across sectors, including technology.
“Market volatility could push out deal completions, but we expect deals will remain in the pipeline and come through as markets stabilize,” says Manan Gosalia, Head of U.S. Large and Midcap Banks Research at Morgan Stanley.
Management teams of major Wall Street banks—who have visibility into all stages of deals—continue to expect M&A volumes to have a top performance this year, supported by a more favorable regulatory environment, attractive valuations and four years of pent-up demand.
“We expect many large technology deals in the pipeline to skew toward AI beneficiaries and enablers,” says Gosalia. “Additionally, recent volatility should support trading revenues.”
AI Is Driving Meaningful Efficiency Gains
Beyond participating in AI‑related financing and deals, banks are increasingly applying AI to improve their own efficiency across technology, operations, risk and back‑office functions. Morgan Stanley estimates that AI tools should help boost productivity by 20% to 50% over the next five to 10 years in a wide range of functions, from financial advisors and wholesale banking to trading desks and operations.
“Bank businesses—including consumer, commercial and custody—are likely to benefit from improved client service and lower cost of service,” says Gosalia. “Banks should see an improvement around 18% in pretax income once AI is fully embedded into their entire workflows over a timeframe of five to 10 years.”
Will AI Disrupt Core Banking Models?
Some investors question whether AI could threaten traditional deposit‑gathering businesses. Serrano views that risk as limited, especially because most of the money banks make on deposits is linked to primary relationships and payroll accounts.
Even though bank clients, both retail and commercial, have been able to use aggregation websites for many years now to shop around for better rates, they continue to prioritize convenience, trust, brand familiarity, branch proximity and bundled services.
“These accounts are very sticky in nature and, by definition, tied to a regulated business,” Serrano says. “Digital banks have made very little progress over the past decade in disrupting transactional deposit market share.”
Meanwhile, customers stand to gain as banks enhance fraud detection, personalize product offerings and reduce service friction through AI‑powered virtual assistants, improved onboarding and streamlined operations.
Segments linked to emerging payment technologies—such as stablecoins—may introduce isolated risks. But analysts note these developments aren’t evolving at a threatening pace.
“Any losses in those segments should be more than offset by the efficiency gains we expect in the coming years,” Serrano adds.
