01262nam a22001457a 4500999001900000008004100019100005100060245006800111260003400179300003300213520072100246773003400967942000701001952010801008  c533170d533170260428b           ||||| |||| 00| 0 eng d  a Roy, Shreya  and  Chaudhuri, Bibek Ray960287  aArtificial intelligence, demand switching and sectoral wage gap  aEconomic & Political Weekly    a61(9), Feb 28, 2026: p.32-36  aA 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
  aEconomic & Political Weekly    cAR  00102ddc40709408341aIIPAbIIPAd2026-04-28h61(9), Feb 28, 2026: p.32-36pAR138681r2026-04-28yAR