The Economics of AI Training Data: A Research Agenda

2025 article oderinwale2025aitrainingeconomics ○ Not yet verified

Authors

Hamidah Oderinwale, Anna Kazlauskas

Venue

arXiv preprint

Abstract

Research agenda documenting AI training data deals from 2020 to 2025. Reveals persistent market fragmentation, five distinct pricing mechanisms (from per-unit licensing to commissioning), and that most deals exclude original creators from compensation. Found only 7 of 24 major deals compensate original creators.

BibTeX

Local Entry

@article{oderinwale2025aitrainingeconomics,
  title = {The Economics of AI Training Data: A Research Agenda},
  author = {Hamidah Oderinwale and Anna Kazlauskas},
  year = {2025},
  journal = {arXiv preprint},
  url = {https://arxiv.org/abs/2510.24990},
  abstract = {Research agenda documenting AI training data deals from 2020 to 2025. Reveals persistent market fragmentation, five distinct pricing mechanisms (from per-unit licensing to commissioning), and that most deals exclude original creators from compensation. Found only 7 of 24 major deals compensate original creators.}
}

From AUTO:S2

@article{oderinwale2025aitrainingeconomics,
  title = {The Economics of AI Training Data: A Research Agenda},
  author = {Hamidah Oderinwale and Anna Kazlauskas},
  year = {2025},
  journal = {arXiv.org},
  doi = {10.48550/arXiv.2510.24990}
}