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Companies / Microsoft / Microsoft’s list of 40 jobs AI might take: Why even teachers aren’t safe
AI futurologyCompaniesMicrosoftResearch

Microsoft’s list of 40 jobs AI might take: Why even teachers aren’t safe

Daniel Reed
ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect...
- AI Research, Safety & Ethics Analyst
Published: July 31, 2025
6 Min Read
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It’s no secret that AI is reshaping the workforce in dramatic ways, but I recently discovered a report from Microsoft researchers that really puts things into perspective. They’ve identified 40 specific jobs that are most vulnerable to AI disruption—and it’s not just typical tech roles or factory jobs. Even professions you might consider “safe,” like teaching, are suddenly at risk.

The study dives deep into how generative AI can take over tasks traditionally done by knowledge workers—people who do computer, math, or administrative work. This list includes roles as diverse as historians, translators, and sales representatives, showing that the AI revolution isn’t picky about who it disrupts. What’s particularly striking is that many of these jobs require a college degree, debunking the old idea that a degree guarantees job security.

Higher AI applicability for occupations requiring a Bachelor’s degree than for those with lower educational demands.

Jobs AI is most likely to replace: Beyond the obvious

According to Microsoft’s findings, translators and historians rank high in AI susceptibility because their tasks align closely with what generative AI excels at—processing and creating language-based content. But the list doesn’t stop there. Customer service and sales reps, who represent nearly 5 million jobs in the U.S., are also very exposed. It makes sense since these roles rely heavily on sharing information and answering questions—something AI can increasingly handle efficiently.

Even some education roles shouldn’t feel too comfortable. The report singles out specific teaching positions like farm and home management educators, and postsecondary economics, business, and library science teachers as vulnerable. This challenges the notion that teaching provides a secure career path, especially as more Gen Z graduates turn to education hoping for stability after tech layoffs.

What about jobs resistant to AI? The hands-on exception

While so many office-based, degree-requiring roles face AI pressure, some professions remain outside AI’s grip for now—mostly jobs that require hands-on operation of physical equipment. Think dredge operators, bridge and lock tenders, and water treatment plant operators. Their work involves complex machinery manipulation that AI can’t easily replicate today.

Here are the top 10 jobs with the lowest exposure to AI:

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  • Phlebotomists
  • Nursing assistants
  • Hazardous materials removal workers
  • Helpers, painters, plasterers,
  • Embalmers
  • Plant and system operators
  • Oral and maxillofacial surgeons
  • Automotive glass installers and repairers
  • Ship engineers
  • Tire repairers and changers

Still, top business leaders like Nvidia CEO Jensen Huang have stated emphatically that no job will remain untouched. His point: it’s not just AI itself but competitors using AI that will change who keeps their job. This sets a pretty clear message—embracing AI tools is how to stay relevant.

Why your degree might not protect you from AI

The report makes it clear that a college degree isn’t the job shield many of us hoped it would be. In fact, occupations demanding a Bachelor’s degree often show higher AI applicability scores, meaning their day-to-day tasks can be more easily automated with current AI technology. Think political scientists, journalists, and management analysts—careers historically tied to higher education and seen as “knowledge work.”

This insight flips the traditional career advice on its head. Getting a degree is still valuable, but pairing it with AI fluency or skills uniquely human—like emotional intelligence or complex physical tasks—might be the real key to future-proofing your career.

Healthcare and other low AI exposure fields: Growing opportunities

On the flip side, healthcare roles, especially home health and personal care aides, are projecting strong job growth coupled with low AI exposure. These careers benefit from the human touch and personal interaction that AI can’t easily replicate, which probably explains the demand spike reported by the U.S. Bureau of Labor.

Of course, the Microsoft research focuses mostly on large language models, so future AI expansions into machinery operation—like trucking—could widen the impact even further. It’s a reminder that the AI revolution is still unfolding, and its ripple effects will only grow.

What I take away from this AI jobs forecast

  • AI isn’t just threatening low-skill jobs; knowledge workers with degrees are increasingly vulnerable too.
  • Professions centered on language and information sharing—writers, translators, salespeople—are among the most exposed.
  • Hands-on roles using complex machinery remain safer for now but won’t be immune forever.
  • Healthcare is a bright spot in terms of growing, AI-resistant job opportunities.
  • Success in the AI era will depend on combining domain expertise with effective AI tool use.

Ultimately, what struck me most about this report is how it forces us to rethink traditional career advice. AI is coming for jobs tied to human knowledge just as aggressively as those based on repetitive manual tasks. The future belongs to those who not only anticipate AI’s arrival but learn to partner with it.

TAGGED:AIAI and jobsAI ModelsAI researchAI toolsgenerative aihealthcareJensen HuangMicrosoftNvidiastability

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ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect scholarship, society, and human civilization. He reports on breakthroughs in AI research, the development of safety frameworks, discussion of long-term risks, and ethical challenges; he also reports on global shifts in policy and governance. Daniel aims to make complex research papers and long-term thinking accessible to the everyday reader without sacrificing nuance. With his thoughtful and analytical style of writing, Daniel translates advanced topics into clear language. He targets questions that really matter: how safe are today's AI systems, what kind of ethical boundaries do we need, and how could exponential progress affect the way education, jobs, governance, and human values are shaped? His articles are often not just expert opinions but also balanced views and insight into emerging debates that define AI's place in the world. Daniel believes responsible AI development begins with awareness, transparency, and informed public conversation. In terms of his work with Aiholics, he encourages readers to look beyond headlines to understand the promise of artificial intelligence but also some of its consequences.
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