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Microsoft researchers have identified 40 occupations with significant overlap with generative AI capabilities, including translators, historians, and sales representatives. The 2025 report highlights roles involving knowledge work as most exposed. Nvidia CEO Jensen Huang stated every job will be affected by AI.
manufacturing.netMicrosoft released a list of 40 jobs with high crossover with generative AI, according to a 2025 report from its researchers studying occupational implications of the technology. The list includes interpreters and translators, historians, passenger attendants, sales representatives of services, writers and authors, customer service representatives, CNC tool programmers, telephone operators, ticket agents and travel clerks, broadcast announcers and radio DJs, brokerage clerks, farm and home management educators, telemarketers, concierges, political scientists, news analysts, reporters, journalists, mathematicians, technical writers, proofreaders and copy markers, hosts and hostesses, editors, business teachers postsecondary, public relations specialists, demonstrators and product promoters, advertising sales agents, new accounts clerks, statistical assistants, counter and rental clerks, data scientists, personal financial advisors, archivists, economics teachers postsecondary, web developers, management analysts, geographers, models, market research analysts, public safety telecommunicators, switchboard operators, and library science teachers postsecondary as the top 40 most affected occupations.
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Translators, historians, and writers rank among roles with the highest AI applicability score, meaning their tasks align closely with AI's current abilities.
Jobs most exposed to AI involve knowledge work such as computer, math, or administrative work in an office, the researchers stated. Sales jobs appear high on the list because they often involve sharing and explaining information, per the report.
Higher AI applicability is found for occupations requiring a bachelor’s degree than those with lower requirements. Jobs with high chances of disruption by AI include political scientists, journalists, and management analysts, which typically require a four-year degree.
The report singles out farm and home management educators as well as postsecondary economics, business, and library science teachers as roles with relatively high AI applicability.
The researchers studied 200,000 real-world conversations of Copilot users and cross-compared the AI’s performance with occupational data. The measurement in the report focuses purely on large language models, and other AI applications could affect occupations involving operating and monitoring machinery, such as truck driving.
” Companies have been freezing thousands of would-be new roles that AI is expected to take over in the next five years. Graduates in the U.K. are facing the worst job market since 2018 as employers pause hiring and use AI to cut costs, according to Indeed.
Companies like Amazon, Meta, and Microsoft publicly announced workforce reductions amid heavy AI investment.
Jobs with virtually no generative AI exposure include dredge operators, bridge and lock tenders, and water treatment plant and system operators, due to their hands-on equipment requirements. The top 10 least affected occupations by generative AI are dredge operators, bridge and lock tenders, water treatment plant and system operators, foundry mold and coremakers, rail-track laying and maintenance equipment operators, pile driver operators, floor sanders and finishers, orderlies, motorboat operators, and logging equipment operators.
theyeshivaworld.comSpaceX has signed a computing power agreement with Reflection AI. The deal provides access to Nvidia GB300 chips at the Colossus 2 data center in Memphis, Tennessee.
Al JazeeraThe U.S. directed Anthropic to block all foreign nationals from its two frontier AI models last week. Anthropic took the systems offline; G7 allies discussed a trusted-partner access plan.
Los Angeles TimesSuper PACs tied to Anthropic and OpenAI have spent more than $37 million on congressional primaries this cycle. The groups have outspent candidates in some races and focused on candidates who back differing approaches to AI regulation.