A new analysis based on 200,000 interactions with Microsoft Copilot reveals which U.S. occupations are most exposed to AI-driven task automation, highlighting roles that rely heavily on information processing, communication, and text generation.
The research matches each Copilot chat session to job activities listed in the U.S. Department of Labor’s O*NET database, assigning an “AI applicability score” based on how often and how effectively the AI system is used to complete key tasks associated with specific occupations.
“An occupation earns a high score when Copilot reliably helps users finish core tasks that make up a large share of that job,” the study notes. Tasks such as drafting, information gathering, and explaining concepts—functions where generative AI excels—were common among the highest-ranked roles.
Among the top 10 occupations most aligned with Copilot usage were interpreters and translators, who showed a 98% overlap between core work activities and AI-assisted tasks. Other highly ranked roles included historians, writers and authors, customer service representatives, and broadcast announcers.
In contrast, jobs that depend on physical labor, interpersonal contact, or manual skill—such as nursing assistants, massage therapists, and roofers—ranked significantly lower in AI applicability. These roles typically involve tasks that AI systems like Copilot are currently unable to replicate effectively.
The report underscores a growing divide in the labor market between roles that are largely cognitive and communication-based and those requiring physical presence or manual dexterity. The study also suggests that while AI tools can boost productivity in knowledge-based fields, they are unlikely to replace human labor in hands-on professions in the near term.
“Most high-scoring roles depend on producing, tailoring, or conveying information,” the study observed, indicating that sectors such as media, education, office support, and sales are among the most immediately impacted by AI integration.
As generative AI continues to evolve, experts anticipate that its role in the workplace will expand—but its influence will likely remain concentrated in occupations where information exchange is central to daily tasks.
Source: Microsoft
