{"id":774858,"date":"2025-11-18T17:11:01","date_gmt":"2025-11-18T17:11:01","guid":{"rendered":"https:\/\/www.abnewswire.com\/pressreleases\/?p=774858"},"modified":"2025-11-18T17:11:01","modified_gmt":"2025-11-18T17:11:01","slug":"new-analysis-reveals-the-50-jobs-most-exposed-to-ai-automation-some-face-over-96-task-replacement","status":"publish","type":"post","link":"https:\/\/www.abnewswire.com\/pressreleases\/new-analysis-reveals-the-50-jobs-most-exposed-to-ai-automation-some-face-over-96-task-replacement_774858.html","title":{"rendered":"New Analysis Reveals the 50 Jobs Most Exposed to AI Automation – Some Face Over 96% Task Replacement"},"content":{"rendered":"
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Cover image for the AI Automation Risk Report, featuring a blue-toned illustration of a humanoid robot next to a clipboard with checkmarks and an alert icon. The background includes subtle circuit-style patterns representing artificial intelligence and automation.<\/div>\n<\/div>\n<\/div>\n
Dsmart\u2019s AI Automation Risk Report analyzes 784 occupations to identify the 50 jobs most vulnerable to AI automation. Administrative, clerical, and data-processing roles face the highest exposure, ranging from 77.67% to 96.25%. Telemarketers top the list at 96.25%. The report includes expert insights, an interactive tool, and guidance to help workers and policymakers prepare for rapid AI-driven disruption.<\/div>\n

HERRIMAN, Utah – <\/strong>A new analysis from EDsmart<\/strong> finds that a concentrated cluster of U.S. occupations—mostly administrative, clerical, and data-processing roles—face dramatically higher exposure to AI automation than the rest of the workforce. Across 784 occupations analyzed, the top 50 high-risk jobs show 86.3% average exposure<\/strong>, nearly 2.9× higher<\/strong> than the average job nationwide.<\/p>\n

The most vulnerable occupation? Telemarketers<\/strong>, with 96.25%<\/strong> of job tasks that can be performed by AI systems—meaning nearly all daily activities in the role could be automated using current or near-future technology.<\/p>\n

“The next wave of AI disruption won’t target people — it will target patterns,”<\/strong> said Dr. Amanda Main, Chief Innovation Officer at the University of Central Florida College of Business. “Jobs built on repetition and predictable logic are standing on the fault line.”<\/strong><\/p>\n

Office and Administrative Jobs at Highest Risk<\/strong><\/p>\n

EDsmart’s analysis found a striking concentration of risk in routine white-collar work:<\/p>\n