Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/267414 
Year of Publication: 
2022
Series/Report no.: 
IZA Discussion Papers No. 15677
Publisher: 
Institute of Labor Economics (IZA), Bonn
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.
Subjects: 
artificial intelligence
skill
productivity
taxi-drivers
prediction
demand forecasting
machine learning
JEL: 
J22
J24
L92
R41
Document Type: 
Working Paper

Files in This Item:
File
Size
849.93 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.