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

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IZA Discussion Papers ; No. 15677

Classification and Topics

• Classification: Wirtschaft ; Time Allocation and Labor Supply ; Human Capital; Skills; Occupational Choice; Labor Productivity ; Railroads and Other Surface Transportation ; Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
• Subject: artificial intelligence ; skill ; productivity ; taxi-drivers ; prediction ; demand forecasting ; machine learning

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Kanazawa, Kyogo ; Kawaguchi, Daiji ; Shigeoka, Hitoshi ; Watanabe, Yasutora
• Event: Veröffentlichung
• (who): Institute of Labor Economics (IZA)
• (where): Bonn
• (when): 2022

Further information

• Handle: http://hdl.handle.net/10419/267414
• Last update: 10.03.2025, 11:44 AM CET