The Impact of A.I. on Young Workers: A Stanford Study
As the world becomes increasingly reliant on artificial intelligence (A.I.), concerns about its impact on the workforce have grown. A recent study by Stanford researchers has shed light on the effects of A.I. on early-career workers, and the results are striking. According to the study, workers aged 22 to 25 have experienced a 13 percent relative decline in employment across jobs most exposed to A.I., such as coding and customer service. The study’s findings are based on data from ADP, the largest payroll software provider in the U.S., which contains monthly and individual-level records for millions of workers at tens of thousands of companies.
Age and A.I. Exposure
The researchers found that the decline in employment is most pronounced among young workers in A.I.-exposed occupations. For instance, employment for early-career software developers has dropped nearly 20 percent from its late 2022 peak, with similar declines across other computer and service clerk jobs. This suggests that A.I. is having a disproportionate impact on young workers, who are often the most vulnerable in the labor market. According to Bharat Chanda, one of the study’s authors, “What really jumped out quickly as we were doing the analysis was we were seeing these big differences by age group. That result was pretty striking.” The study also found that jobs less exposed to A.I., such as nursing aides, have remained steady or even grown.
Tacit Knowledge and A.I. Replacement
The researchers suggest that “tacit knowledge,” or skills gained over years of experience, may shield older employees from A.I.-driven job displacement. This type of knowledge is difficult to codify and may not be accessible to A.I. models, which rely on written or codified information. As a result, older workers with more experience may be less likely to be replaced by A.I. By contrast, younger workers may be more vulnerable to A.I.-driven job displacement due to their limited experience and reliance on codified knowledge. The study’s findings have significant implications for the future of work and the need for workers to develop skills that are complementary to A.I.
A.I. Augmentation and Job Growth
The study also found that job losses are concentrated in roles where A.I. can fully automate tasks with little human input. In fields where A.I. augments work by helping employees learn, review, or improve, employment has actually increased. According to Chanda, “In the jobs where it’s most augmentative, we’re not seeing these employment declines and in fact, we’re seeing employment growth—even for the young workers.” This suggests that A.I. can have a positive impact on employment when it is used to augment human capabilities rather than replace them.
Conclusion and Future Directions
The Stanford study provides valuable insights into the impact of A.I. on the workforce, particularly for young workers. While the findings are striking, they also suggest that A.I. can have a positive impact on employment when it is used to augment human capabilities. As the use of A.I. continues to grow, it is essential to monitor its impact on the workforce and develop strategies to mitigate its negative effects. For more information on the study, visit Here.
Image Source: observer.com
