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Vinit Ravishankar

Biographic Data

ID11150418
NAMEVinit Ravishankar
GIVEN NAMESVinit
FAMILY NAMERavishankar
SIGNATURERAVISHANKAR V
AFFILIATIONSUniversity of Copenhagen
ORCID0009-0005-5330-0829
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Train and deploy

    Open Access•Vinit Ravishankar, Markus Kienscherf•ARTICLE•Capital & Class•2026

    The generative AI industry has seen exponential growth over the past 3 years. We attempt to critically analyse its political economy, through a focus on two moments: the training of models, and their deployment downstream. First, we make the case that generative AI presupposes a number of expropriative processes that enable the exploitation of wage labour in the production of models as commodities. Second, we argue that generative AI represents o…

No prominent works on this page.

  • Train and deploy

    Open Access•Vinit Ravishankar, Markus Kienscherf•ARTICLE•Capital & Class•2026

    The generative AI industry has seen exponential growth over the past 3 years. We attempt to critically analyse its political economy, through a focus on two moments: the training of models, and their deployment downstream. First, we make the case that generative AI presupposes a number of expropriative processes that enable the exploitation of wage labour in the production of models as commodities. Second, we argue that generative AI represents o…

Artificial Intelligence Applications (1 work) · Capital (architecture) (1 work) · Capital accumulation (1 work) · Digital Economy and Work Transformation (1 work) · Ethics and Social Impacts of AI (1 work) · Generative grammar (1 work) · Generative model (1 work) · Politics (1 work) · Production (economics) (1 work) · Software deployment (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae