Worried About AI Taking Your Job? Microsoft Just Dropped a List of 40 at Risk

Microsoft Research has revealed that jobs heavily reliant on information processing and communication are the most vulnerable to AI disruption. The findings are based on an analysis of over 200,000 anonymized interactions with the Copilot chatbot in the U.S. The study outlines which roles are most susceptible to being reshaped or replaced by AI tools, especially those that closely mirror the strengths of AI in handling data, writing, and repetitive digital tasks.

New @Microsoft research is making the rounds on potential jobs vulnerable to AI.

The study offers real‑usage evidence, not speculative modeling that demonstrates where generative AI is already reshaping roles tied to information gathering and writing, with clear differences… pic.twitter.com/5Qd3a2gKg9
— Brian Solis (@briansolis) July 27, 2025

Microsoft Research has identified several jobs at high risk of disruption from AI technologies like Copilot and ChatGPT, with interpreters, translators, and writers among the top. These professions scored highest on the AI relevance scale (0.34–0.49), indicating tasks such as summarising, content generation, and customer interaction are increasingly replicable by AI systems. The list spans diverse fields including education, finance, hospitality, communication, and tech, underlining the widespread potential of AI impact.

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The researchers found that roles most susceptible to AI involvement generally involve repetitive, language-based, or data-driven tasks—areas where generative AI excels. This includes summarising content, drafting emails or articles, and handling common queries. As AI continues to mimic human communication and decision-making, jobs involving high amounts of such work face greater augmentation—or even displacement.

Microsoft just did a study on the 40 jobs most at risk by AI and the 40 most secure.

A few really surprised, and many we own. pic.twitter.com/ANO3E908Tk
— Codie Sanchez (@Codie_Sanchez) July 31, 2025

Importantly, the study avoids making specific predictions about how many jobs will be lost or created due to AI. This neutral stance reflects the broader debate around AI’s impact: some experts warn of massive white-collar job losses, while others believe AI could boost productivity and spark new job categories, as previous technological revolutions have done.

Rather than inducing fear, Microsoft’s findings act as a call for awareness and adaptation. High-risk jobs aren’t necessarily doomed, and low-risk roles aren’t invincible. Instead, employees and industries should prepare for evolving workflows, upskilling opportunities, and new forms of human-AI collaboration in the increasingly automated future.

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