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Research PaperResearchia:202606.12044

The Privilege of Exposure: Caste and Generative AI in India's Graduate Labour Market

Kaibalyapati Mishra

Abstract

Who is exposed to generative AI in a developing-country labour market? We map three occupational AI-exposure indices to India's redesigned Periodic Labour Force Survey (2025) and document a steep caste gradient among 83,000 employed graduates: graduates from the Scheduled Castes and the Scheduled Tribes are 0.24--0.37 standard deviations less exposed than upper-caste graduates within the same district. Two channels drive the gap: one in four SC and one in three ST graduates work in farm or eleme...

Submitted: June 12, 2026Subjects: Economics; Environmental Science

Description / Details

Who is exposed to generative AI in a developing-country labour market? We map three occupational AI-exposure indices to India's redesigned Periodic Labour Force Survey (2025) and document a steep caste gradient among 83,000 employed graduates: graduates from the Scheduled Castes and the Scheduled Tribes are 0.24--0.37 standard deviations less exposed than upper-caste graduates within the same district. Two channels drive the gap: one in four SC and one in three ST graduates work in farm or elementary occupations untouched by AI, and those in white-collar work are underrepresented in managerial, software, and finance occupations. Because exposure commands a wage premium of up to 20 per cent, generative AI stands to widen, not narrow, India's caste earnings gap.


Source: arXiv:2606.13314v1 - http://arxiv.org/abs/2606.13314v1 PDF: https://arxiv.org/pdf/2606.13314v1 Original Link: http://arxiv.org/abs/2606.13314v1

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Date:
Jun 12, 2026
Topic:
Environmental Science
Area:
Economics
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