Artificial intelligence, demand switching and sectoral wage gap (Record no. 533170)

000 -LEADER
fixed length control field 01146nam a22001337a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260428b ||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Roy, Shreya and Chaudhuri, Bibek Ray
245 ## - TITLE STATEMENT
Title Artificial intelligence, demand switching and sectoral wage gap
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Economic & Political Weekly
300 ## - PHYSICAL DESCRIPTION
Extent 61(9), Feb 28, 2026: p.32-36
520 ## - SUMMARY, ETC.
Summary, etc A finite-change general equilibrium framework models AI as a technological shock transmitted through price adjustments, showing that preference shifts towards AI services can widen wage gaps. Empirical validation using an endogenous structural break approach identifies 2007 as the year of AI’s introduction in India, coinciding with the emergence of services such as Windows Live and ride-hailing apps like Ola and Uber. It has been observed that wage inequality has not worsened significantly, owing to the slow adoption of AI-based services such as ride-hailing, used by less than 0.7% of the population.-Reproduced


https://www.epw.in/journal/2026/9/insight/artificial-intelligence-demand-switching-and.html
773 ## - HOST ITEM ENTRY
Main entry heading Economic & Political Weekly
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Articles
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Serial Enumeration / chronology Barcode Date last seen Koha item type
          Indian Institute of Public Administration Indian Institute of Public Administration 2026-04-28 61(9), Feb 28, 2026: p.32-36 AR138681 2026-04-28 Articles

Powered by Koha