Europe – Recent economic reports indicate that the rapid expansion of artificial intelligence (AI) technologies within the European banking sector could lead to the loss of approximately 200,000 jobs by 2030. This represents one of the largest waves of job transformation the sector has witnessed in decades.
According to the Financial Times, AI-powered automation is becoming a key factor in reshaping the operational structure of European banks. Job cuts are expected to affect nearly 10% of the total workforce at 35 major banks across the European Union.
This shift represents the culmination of a long history of technological changes in the banking industry. Whereas banking transactions were once entirely branch-based and reliant on direct interaction with staff, the advent of ATMs and then digital banking services led to a reduction in the number of employees. Today, artificial intelligence is driving this transformation even further and at an accelerated pace.
Analysis by Morgan Stanley indicates that the jobs most at risk are concentrated in back-office operations, risk management, and compliance—areas where intelligent systems can perform a significant portion of their tasks more efficiently and at a lower cost. This trend is not limited to Europe. Major banks like Goldman Sachs have already warned their employees in the United States of potential layoffs and a hiring freeze until the end of 2025.
Banks are increasingly relying on artificial intelligence (AI) to reduce operating expenses, as the need for traditional branches and their associated staffing, rent, and service costs diminishes. Intelligent systems also enable 24/7 operation and the processing of massive amounts of data at high speeds. This applies to everything from preparing financial reports to evaluating loan applications.
Despite these significant advantages, specialized reports warn of the risks of over-reliance on AI without human oversight. A case in Australia in 2025 sparked widespread controversy after it was revealed that an AI-generated report contained errors and fictitious references, highlighting the limitations of this technology.
These developments underscore that while AI can enhance efficiency and accelerate performance, it still requires rigorous human supervision to avoid errors that could have high financial and reputational costs.
