AI Investment and Firm Productivity: How Executive Demographics Drive Technology Adoption and Performance in Japanese Enterprises

Tatsuru Kikuchi

MPRA Paper from University Library of Munich, Germany

Abstract: This paper investigates how executive demographics—particularly age and gender—influence artificial intelligence (AI) investment decisions and subsequent firm productivity using comprehensive data from over 500 Japanese enterprises spanning 2018-2023. Our central research question addresses the role of executive characteristics in technology adoption, finding that CEO age and technical background significantly predict AI investment propensity. Employing these demographic characteristics as instrumental variables to address endogeneity concerns, we identify a statistically significant 2.4\% increase in total factor productivity attributable to AI investment adoption. Our novel mechanism decomposition framework reveals that productivity gains operate through three distinct channels: cost reduction (40\% of total effect), revenue enhancement (35\%), and innovation acceleration (25\%). The results demonstrate that younger executives (below 50 years) are 23\% more likely to adopt AI technologies, while firm size significantly moderates this relationship. Aggregate projections suggest potential GDP impacts of ¥1.15 trillion from widespread AI adoption across the Japanese economy. These findings provide crucial empirical guidance for understanding the human factors driving digital transformation and inform both corporate governance and public policy regarding AI investment incentives.

Keywords: Artificial Intelligence; Executive Demographics; Technology Adoption; Productivity; Digital Transformation (search for similar items in EconPapers)
JEL-codes: D24 L25 M12 O33 O47 (search for similar items in EconPapers)
Date: 2025
New Economics Papers: this item is included in nep-ain, nep-bec, nep-cse, nep-eff, nep-sbm, nep-sea and nep-tid
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