Dallas Fed says 'older, experienced workers' likely have less cause for concern about AI job displacement

A fresh analysis from the Federal Reserve Bank of Dallas reveals a more optimistic outlook regarding artificial intelligence's effect on employment, particularly for seasoned professionals. J. Scott Davis, an assistant vice president at the bank, examined the job and wage trends in sectors most vulnerable to AI disruption and found that fears of widespread job losses may not be justified, at least for older, more experienced workers. Since the introduction of ChatGPT in late 2022, overall employment in the United States has seen a rise of approximately 2.5%. However, sectors that are heavily exposed to AI technologies have experienced a slight decline in employment, dropping by around 1%. In contrast, wages have significantly increased, with the average weekly pay across the country climbing by 7.5% during the same period. Notably, industries most affected by AI have witnessed an even greater wage growth of 8.5%. Davis argues that if AI were merely replacing workers, job numbers and wages would both be on the decline. He highlights a crucial distinction between two types of knowledge: 'codified' knowledge, which is typically acquired through formal education, and 'tacit' knowledge, which is gained through practical experience. His findings suggest that the value of hands-on experience in AI-exposed occupations is on the rise, indicating that younger workers with limited practical experience may face challenges in the job market. Using data from the Bureau of Labor Statistics, Davis's analysis indicates that industries most susceptible to AI tend to offer higher pay premiums for experienced workers. Conversely, sectors where hands-on experience is less critical show slower wage growth in the face of AI advancements. Additionally, workers under the age of 25 in AI-affected fields have experienced declines in employment, reinforcing the notion that older, experienced employees may have less reason to worry about job displacement. These findings serve as a counterargument to more dire predictions regarding AI's potential to disrupt the labor market. Recently, a memo from Citrini Research speculated on a scenario in 2028 where AI could lead to significant job losses and a market downturn. Concerns from executives in the AI sector have also surfaced, with warnings about job eliminations in entry-level positions and the automation of roles in life sciences, customer service, and computer engineering. Despite these apprehensions, the Dallas Fed's analysis presents a more nuanced view of the current job landscape, emphasizing stability for those already established in their careers.