AI, Skill, and Productivity: The Case of Taxi Drivers

Kyogo Kanazawa, Daiji Kawaguchi, Hitoshi Shigeoka () and Yasutora Watanabe
Additional contact information
Kyogo Kanazawa: University of Tokyo
Hitoshi Shigeoka: University of Tokyo
Yasutora Watanabe: University of Tokyo

No 15677, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the cruising time, and such gain is accrued only to low-skilled drivers, narrowing the productivity gap between high- and low-skilled drivers by 14%. The result indicates that AI's impact on human labor is more nuanced and complex than a job displacement story, which was the primary focus of existing studies.

Keywords: artificial intelligence; skill; productivity; taxi-drivers; prediction; demand forecasting; machine learning (search for similar items in EconPapers)
JEL-codes: J22 J24 L92 R41 (search for similar items in EconPapers)
Pages: 46 pages
Date: 2022-10
New Economics Papers: this item is included in nep-big, nep-cmp, nep-eff, nep-hrm, nep-ind and nep-lma
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://docs.iza.org/dp15677.pdf (application/pdf)

Related works:
Working Paper: AI, Skill, and Productivity: The Case of Taxi Drivers (2022)
Working Paper: AI, Skill, and Productivity: The Case of Taxi Drivers (2022)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp15677

Ordering information: This working paper can be ordered from
IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany

Access Statistics for this paper

More papers in IZA Discussion Papers from Institute of Labor Economics (IZA) IZA, P.O. Box 7240, D-53072 Bonn, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Holger Hinte ().