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<rss version="2.0"><channel><title>Dr. Shyam Jivan Salunkhe · AI Fault Line</title><link>https://aifaultline.com/authors/dr-shyam-jivan-salunkhe/</link><description>New papers by Dr. Shyam Jivan Salunkhe in the AI Fault Line guide, and news naming them.</description>
<item><title>Paper: ARTIFICIAL INTELLIGENCE, INEQUALITIES OF KNOWLEDGE AND RESOURCES, AND SOCIO-ECONOMIC SECURITY: GLOBAL EVIDENCE WITH IMPLICATIONS FOR INDIA&#x27;S LABOR AND IT WORKFORCE</title><link>https://aifaultline.com/research/p/doi-10-5281-zenodo-20339287/</link><guid>https://aifaultline.com/research/p/doi-10-5281-zenodo-20339287/</guid><pubDate>Fri, 22 May 2026 00:00:00 +0000</pubDate><description>Wagh and Salunkhe synthesize secondary evidence from OECD, ILO, UNDP, WTO, and Indian official statistics (NSO/MoSPI, PLFS, HCES) to argue that AI widens &quot;capability inequality&quot; — unequal access to knowledge, compute, digital infrastructure, and organizational adoption — with acute risks for India&#x27;s segmented labor market and IT services workforce facing AI-driven efficiency pressures. The paper adds to warnings (echoing UNDP&#x27;s &quot;Next Great Divergence&quot; framing) that AI&#x27;s distributional effects run through institutions and complementary resources rather than technology per se, and that task transformation with accelerated skill change, not mass job destruction, is the central risk for vulnerable workers in emerging economies.</description></item>
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