Employment in occupations with high exposure to artificial intelligence grew 0.1 percent in July from a year earlier, while employment in the least-exposed occupations grew 1.1 percent, according to new data from the Canaries Dashboard, a project of the Stanford Digital Economy Lab and ADP Research.  

Early career workers 

Young workers aged 22 to 25 continued to see negative employment growth overall, with employment contracting 1.3 percent year over year. 

Among these workers, employment in jobs with high exposure to AI fell by 3 percent year over year, marking 34 straight months of contraction, a trend that began in October 2023.  

Among those workers whose jobs are the least-exposed to AI, employment was flat year over year.  

For early career workers aged 26 to 30 in jobs with high exposure to AI, employment fell by 2.1 percent in July from the year prior. For this age group in the least-exposed jobs, employment was up 1.8 percent.

Methodology

The Canaries Dashboard, a project of the Stanford Digital Economy Lab and ADP Research, tracks employment changes in occupations with varying degrees of exposure to artificial intelligence. The dashboard detects employment shifts in near-real time, replacing guesswork about AI’s impact with data by occupation, age, and gender.  

Stanford and ADP Research observe the payroll data of millions of workers in more than 730 unique occupations at tens of thousands of private U.S. employers each month. By linking this data to established measures of occupational AI exposure and other variables, the Canaries Dashboard can quantify employment changes since the widespread release and adoption of generative AI in late 2022. To access the project’s data and learn more about our methodology, please see the Canaries Dashboard at the Stanford Digital Economy Lab.