TY  - BOOK
AU  - Kanazawa,Kyogo
AU  - Kawaguchi,Daiji
AU  - Shigeoka,Hitoshi
AU  - Watanabe,Yasutora
ED  - National Bureau of Economic Research.
TI  - AI, Skill, and Productivity: The Case of Taxi Drivers 
T2  - NBER working paper series
PY  - 2022///
CY  - Cambridge, Mass.
PB  - National Bureau of Economic Research
KW  - Time Allocation and Labor Supply
KW  - jelc
KW  - Human Capital • Skills • Occupational Choice • Labor Productivity
KW  - Railroads and Other Surface Transportation
KW  - Transportation: Demand, Supply, and Congestion • Travel Time • Safety and Accidents • Transportation Noise
N1  - October 2022; Hardcopy version available to institutional subscribers
N2  - We examine the impact of Artificial 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
UR  - https://www.nber.org/papers/w30612
UR  - http://dx.doi.org/10.3386/w30612
ER  -