The Automation Risk Index (ARI) Database for Japan. Methodological Note

         
Author Name FUKAO Kyoji (Chairman, RIETI) / IKEUCHI Kenta (Senior Fellow (Policy Economist), RIETI) / NAGAYA Yoshiaki (Nomura Research Institute) / Cristiano PERUGINI (University of Perugia and IZA) / Fabrizio POMPEI (University of Perugia)
Creation Date/NO. June 2025 25-T-001
Research Project East Asian Industrial Productivity
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Abstract

This note introduces the Automation Risk Index (ARI), a new dataset which assesses how exposed Japanese occupations are to automation by AI and robotics. It builds on prior studies by Frey and Osborne (2017) and Paolillo et al. (2022). The ARI is based on two data sources: (i) the JobTag-OID database on skill and ability profiles for Japanese occupations; (ii) a bespoke expert survey conducted in 2024 by RIETI and the Nomura Research Institute. Experts evaluated how likely AI and robotics could replace the skills, abilities and job adaptability attributes described in JobTag-OID. The resulting ARI measures automation vulnerability at a granular occupational level and offers insights for labor market research and policy planning.