Narine, DonnetteYamashita, TakashiChidebe, Runcie C. W.Cummins, Phyllis A.Kramer, Jenna W.Karam, Rita2023-12-042023-12-042023-11-07Narine, Donnette, Takashi Yamashita, Runcie CW Chidebe, Phyllis A Cummins, Jenna W Kramer, and Rita Karam. “Associations between Education, Information-Processing Skills, and Job Automation Risk in the United States.” Journal of Adult and Continuing Education, November 7, 2023, 14779714231213004. https://doi.org/10.1177/14779714231213004.https://doi.org/10.1177/14779714231213004http://hdl.handle.net/11603/31011Job automation is a topical issue in a technology-driven labor market. However, greater amounts of human capital (e.g., often measured by education, and information-processing skills, including adult literacy) are linked with job security. A knowledgeable and skilled labor force better resists unemployment and/or rebounds from job disruption brought on by job automation. Therefore, the purpose of this study was to advance understanding of the association between educational attainment and literacy, and job automation risk. Using the 2012/2014/2017 Program for the International Assessment of Adult Competencies (PIAAC) data, survey-weighted linear regression was used to model the risk of job automation as a function of education, and literacy proficiency. Higher educational attainment (college or higher vs. less than high school: b = −18.23, p < .05) and greater literacy proficiency (score 0–500 points: b = −.038, p < .05) were associated with a decrease in job automation risk among the U.S. workforce.18 pagesen-US© The Author(s) 2023. Use is restricted to non-commercial and no derivatives.Text