A full description of the ranking process is in the methodology. Those ranking in the top 25% are occupations that are least exposed to AI. In another step, occupations are ranked by the relative importance of low-exposure activities in them. In one step of analysis, occupations are ranked by the relative importance of high-exposure activities in them the jobs ranking in the top 25% are occupations that we rate as most exposed to AI. In this report, we focus on the importance of low- and high-exposure activities. The importance scale runs from one (not important) to five (extremely important). How much an occupation is exposed to AI depends on which of these work activities is more important in that particular job. Low or high exposure to AI: We rated a set of 41 job-related work activities common to all occupations as having low, medium or high exposure to AI. ChatGPT and Dall-E are examples of AI-driven technologies. AI can substitute for or complement a variety of human tasks, such as writing, drawing, providing customer service, reading radiology scans, driving cars and more. Here are the questions used for this report, along with responses, and its methodology.Īrtificial intelligence (AI): Broadly speaking, AI refers to a range of applications of machine learning, computer vision and natural language processing that allow computers or machines to perform tasks autonomously. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. The survey is weighted to be representative of the U.S. Everyone who took part in the survey is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. The AI-exposure rankings of 873 detailed occupations from the O*NET data are matched to 485 broader occupations listed in the CPS.Ī part of the analysis is based on a Pew Research Center survey of 11,004 U.S. Earnings data is available for a quarter of this sample. Monthly files from January to December 2022 were combined to form an annual file. The remaining occupations have medium exposure.ĭata on the employment and earnings of workers in individual occupations and their demographic profiles are from the Current Population Survey ( IPUMS). Those in the top quarter of each ranking are the least or most exposed occupations. Occupations were ranked by the relative importance of low- or high-exposure activities. We grouped these activities into three categories based on their likely exposure to AI: low exposure, medium exposure and high exposure. O*NET analysts rate the importance of 41 work activities related to job performance in individual occupations. Most of the analysis is based on data from the Occupational Information Network (O*NET), Version 27.3. We make no determination as to whether workers may lose their jobs as a result or gain new jobs, and we also do not consider the role of robots. The study emphasizes the impact of AI on different groups of workers, such as men and women and racial and ethnic groups, and it includes new survey findings on how American adults think AI will impact them personally, setting it apart from preceding analyses.īy exposure to AI, we refer to the likelihood that the activities workers perform on their jobs may be replaced or aided by artificial intelligence. Pew Research Center conducted this study to understand how American workers may be exposed to artificial intelligence (AI) at their jobs.
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