Meta offers 95% discount for AI data sharing

Meta's move comes after it struggled to obtain training data through other means. Earlier this year, an initiative to track employees' computer usage faced internal criticism and was paused in June. The company did not respond to TechCrunch's question about this new pricing model.

The discount could reshape how enterprises think about data sharing. As noted by Princeton professor Arvind Narayanan, many large companies prefer token-billed enterprise plans over discounted consumer plans due to data retention and governance concerns. By offering explicit compensation, Meta may incentivize companies to more carefully evaluate which data is truly proprietary and which can be shared.

This pricing strategy also fits into a broader trend of price competition among AI labs. Anthropic and OpenAI have recently lowered costs for certain tokens or models, suggesting that data-sharing incentives are becoming a differentiator in the market. While the full implications are unclear, the contributor model signals that user data's value is now being directly priced, potentially making it a commodity in AI development.