The Budget Lab at Yale University analyzed the impact of artificial intelligence on the US labor market over the 33 months following the November 2022 launch of ChatGPT. The study found no correlation between AI exposure metrics and broader trends in employment or unemployment rates across the economy.
Researchers compared current shifts in professional structures to historical data from the eras of computer and internet adoption. While the composition of jobs is changing slightly faster than in some past periods, this acceleration began before the widespread integration of AI, suggesting no direct causal link.
The report clarifies that these findings reflect the state of the economy as a whole rather than the impact on specific companies or individual roles. The researchers emphasize that 33 months is a short timeframe for evaluating large-scale technological shifts, noting that previous innovations required years to transform work processes.
The team intends to update their analysis as new data becomes available. They characterize the current results as a snapshot of the present situation rather than a forecast of future AI influence on the workforce.
