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令和8年11月19日(木)14:00~15:30
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アジア成長研究所 上級研究員
小松 翔
Generative AI Use at Work, Working Hours, and Subjective Evaluations of Work and Private Life: Evidence from Japan
Reducing long working hours and improving work–life balance are policy priorities in Japan. Using individual-level data on 8,685 employees, this study examines associations between generative AI use at work, working hours, and subjective evaluations of work and private life. Compared with nonuse, using generative AI at least one day per week was associated with more monthly overtime, longer daily working hours, greater work-related happiness, and higher satisfaction with private life. A positive association with unhappiness was observed primarily among employees using generative AI at least four days per week. Occupational analyses showed positive associations with work-related happiness in clerical, sales and service, manufacturing and material handling, and professional and technical occupations. Positive associations with satisfaction with private life were observed in clerical and professional and technical occupations, while associations with unhappiness were positive in clerical and manufacturing and material handling occupations. Positive overtime associations were found in several occupational categories, including clerical, sales and service, and professional and technical occupations. These findings suggest that workplace adoption of generative AI should combine efforts to improve operational efficiency with appropriate management of working hours and attention to employees’ subjective evaluations to support work–life balance.
報告は日本語、資料は英語

小松 翔(こまつ しょう)
2022年12月に東京大学で国際協力学の博士号を取得。2023年4月からアジア成長研究所で上級研究員を務めている。主な研究分野は、中国経済、地域経済、労働・人口問題などである。
申込方法① 電子申請
https://forms.gle/Jo5uLaMG1LP8Y8Vv5
申込方法② メール申込み
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11月18日(水)13時
更新日:2026年11月2日
カテゴリ:セミナー