AI Reshapes Job Market: Which Roles Are Most Affected?

Rapid advancements in Artificial Intelligence (AI) technologies are reshaping the global job market, creating both significant opportunities and potential risks. According to Goldman Sachs Research, AI is estimated to expose approximately 300 million jobs worldwide to automation risk. In the United States, AI has the potential to automate tasks accounting for 25% of all work hours, raising the prospect of displacement for some workers in knowledge-intensive industries.

Data from the U.S. Bureau of Labor Statistics (BLS) indicates that the increasing use of AI and information technology will drive strong demand growth in certain occupations over the 2024-2034 decade. Specifically, data scientists are projected to see a 33.5% increase, and software developers a 15.8% increase. Conversely, demand for occupations based on repetitive and standardized tasks, such as office and administrative support workers, procurement clerks, credit authorizers, legal secretaries, and customer service representatives, is expected to decline.

However, recent statements from Federal Reserve (Fed) Chair Kevin Warsh suggest that AI has not yet led to widespread job losses and, in fact, appears to be making employees more productive. The Fed continues to closely monitor the technology's long-term impact on the labor market. Research by the Chicago Fed also notes that occupations most exposed to AI saw a 4.05% increase in employment from 2019 to 2024, with wages rising regardless of AI exposure. These findings suggest that AI is leading to occupational restructuring rather than direct job loss in the short term.

According to Joyce Chang, chair of Global Research at J.P. Morgan, AI is amplifying uncertainty, especially for younger workers and those in roles most exposed to automation. Some data indicates that industries with high AI exposure are experiencing slower job growth and, in some cases, increased layoffs. For instance, the Challenger report cited AI as the reason for approximately a quarter of announced job cuts in March. This reflects the pursuit of efficiency driven by AI in sectors like finance and technology.

Boston Consulting Group (BCG) analyses project that 50% to 55% of jobs in the U.S. will be reshaped by AI within the next two to three years. For many employees, this means retaining the same or a similar role but facing radically new expectations for how they work and what they produce. In the longer term, 10% to 15% of jobs in the U.S. could be entirely eliminated within five years. This necessitates a strategic approach from company leaders regarding upskilling and workforce restructuring.

Analysts and market expectations suggest that AI's impact on the labor market will be complex and multifaceted. Goldman Sachs estimates that approximately 15 million workers in the U.S. may need to transition from their current positions to new jobs due to AI over a 10-year period. This represents a reallocation shock similar in scale to the major technology-driven transformations of the late 1990s and early 2000s. However, if this shift is spread out over time, the annual impact on the unemployment rate is not expected to be substantial. In the coming period, the workforce's ability to collaborate with AI and acquire new skills will play a critical role in determining the economic outcomes of this technological revolution.