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Datapoint

How automated and repetitive are psychology jobs?

Skills such as interacting with people, building interpersonal relationships, and active listening are not easily replaced

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Stamm, K., Assefa, M., & Page, C. (2026, January 1). Datapoint: How automated and repetitive are psychology jobs? Monitor on Psychology, 57(1). https://www.apa.org/monitor/2026/01-02/psychology-jobs-automation

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Psychology jobs typically require low levels of automation, fairly low to moderate levels of repetitive tasks, and a high degree of contact with others, as rated by current professionals and individuals with knowledge about each occupation. For example, the occupations of clinical and counseling psychologists, school psychologists, and industrial and organizational psychologists involve low levels of automation, few repetitive tasks, and constant contact with others. Occupations in social science and related areas, such as political scientists, human factors engineers and ergonomists, and sociologists, are also characterized by low levels of automation and moderate levels of repetitiveness.

These findings suggest there is potential to increase automation of any repetitive aspects of psychology jobs. However, some tasks, especially complex and nonroutine tasks and those requiring frequent face-to-face interaction, are not suitable for automation. Similar occupations require high but slightly lower levels of contact with others. These findings indicate that the human skills that are critical aspects of psychology jobs—such as interacting with people, building interpersonal relationships, and active listening—make psychology jobs less likely to be replaced by automation.

Want more information? See the Center for Workforce Studies (CWS) interactive data tools or contact CWS .

References

Sources: National Center for O*NET Development. (2025). Work context: Degree of automation; Work context: Importance of repeating same tasks; and Work context: Contact with others. O*NET OnLine. Retrieved September 9, 2025, from https://www.onetonline.org/find/descriptor/result/4.C.3.b.2opens in new window, https://www.onetonline.org/find/descriptor/result/4.C.3.b.7opens in new window, and https://www.onetonline.org/find/descriptor/result/4.C.1.a.4opens in new window

Note: This Datapoint includes information from O*NET OnLineopens in new window by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA) used under the CC BY 4.0 licenseopens in new window. The authors have modified all or some of this information by selecting a small number of occupations out of the 894 occupations reporting degree of automation. USDOL/ETA has not approved, endorsed, or tested these modifications. For more information about O*NET methodology, please see the description of the O*NET Content Model onlineopens in new window.

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