In January 2023, Microsoft reportedly spent $100,000,000 acquiring training data from OpenAI.
For decades, data was treated as a byproduct of digital systems.
Today, it is increasingly being treated as a strategic asset.
AI systems are ultimately shaped by the datasets they learn from. The scale, structure, and quality of training data can directly influence model capability, reliability, and competitive advantage.
Transactions like this suggest that access to high-quality datasets may become one of the defining economic factors in the development of advanced AI systems.
DatFlash tracks publicly referenced dataset transactions to help illuminate how data assets are beginning to trade in the emerging AI market.