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Microsoft Unveils AI Applicability Score to Map Job Automation Risks

The study introduces a quantitative framework for prioritising workforce adaptation through targeted reskilling.

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Jobs Most Vulnerable to AI
Jobs with high AI Applicability are at the most risk of being replaced.

Overview

  • Researchers analysed over 200,000 anonymised Copilot interactions to generate an AI applicability score measuring overlap between AI capabilities and specific job tasks.
  • Interpreters, translators, historians and customer service representatives topped the list of 40 professions with the highest exposure scores.
  • Roles requiring physical dexterity and context-specific decision-making such as carpenters and roofers recorded the lowest applicability scores under current generative AI benchmarks.
  • Satya Nadella revealed that AI now contributes 30% of Microsoft’s code and Bill Gates cited its lower-cost, higher-accuracy substitution of writing, simple coding and telesupport roles.
  • The findings guide governments and businesses in prioritising targeted policy measures and large-scale reskilling to address looming entry-level and knowledge-role shifts.