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  <titleInfo>
    <title>Artificial intelligence, demand switching and sectoral wage gap</title>
  </titleInfo>
  <name type="personal">
    <namePart> Roy, Shreya  and  Chaudhuri, Bibek Ray</namePart>
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    <place>
      <placeTerm type="text">Economic &amp; Political Weekly</placeTerm>
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    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>61(9), Feb 28, 2026: p.32-36</extent>
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  <abstract>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
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      <namePart>Economic &amp; Political Weekly  </namePart>
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