Cossu, Fenicia (2025): The Skill Inside the Task: How AI and Robotics Reshape the Structure of Work.
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Abstract
We examine how exposure to artificial intelligence (AI) and robotics reshapes the skill composition of occupations. Using O*NET data from 2006 to 2019, we construct indicators tracking the importance of seven broad skill categories within each occupation over time. We link these indicators to task-based measures of technological exposure at the occupational level. We then focus on the effect of AI and robotics in altering the skill composition of high-, middle- and low-skilled groups of occupations. We find that AI primarily affects high-skill occupations by increasing the importance of Technical and Resource Management skills and decreasing that of Systems and Social skills. Robotics instead boosts Technical skills in middle and low-skill occupations and reduces Process skills in low-skilled ones. Notably, neither AI nor robots affect the importance of Complex Problem Solving skills.
Item Type: | MPRA Paper |
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Original Title: | The Skill Inside the Task: How AI and Robotics Reshape the Structure of Work. |
Language: | English |
Keywords: | Skills, Artificial Intelligence, Robots, Skill Composition, Occupational change |
Subjects: | J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J23 - Labor Demand J - Labor and Demographic Economics > J2 - Demand and Supply of Labor > J24 - Human Capital ; Skills ; Occupational Choice ; Labor Productivity O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes |
Item ID: | 125404 |
Depositing User: | Dr.ssa Fenicia Cossu |
Date Deposited: | 01 Aug 2025 16:06 |
Last Modified: | 01 Aug 2025 16:06 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/125404 |