How exposed is work to robotics? Occupational, industry, and geographic measures

Key points

• We construct the first abilities-based exposure measures for robotics and physical AI, and the first to span occupations, industries, and geographies.1
• We find that robotics exposure concentrates in physically intensive work such as construction, farming, transportation, and production, and in industries such as logging, mining, trucking, and warehousing.1
• Unlike generative-AI exposure, ROE is higher in occupations with lower wages, lower education requirements, and less creative-ability content.1
• Physical collaboration and assistance, terrain-based locomotion, grasping and handling, and task and functional reasoning move the exposure ranking most, yet no single capability carries the index.1

Sources (1)

• [1]How exposed is work to robotics? Occupational, industry, and geographic measures
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 09:54 PM

  Exposure indices that map technical capabilities onto occupational abilities have become a standard tool for anticipating how AI may reshape work, but existing measures either cover software AI or proxy robotics through patents and installation data that reflect the industrial robots of past decades.

  We construct the first abilities-based exposure measures for robotics and physical AI, and the first to span occupations, industries, and geographies.

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