Information Asymmetry in Data Supply Chain

When upstream participants (AI trainers) lack clear understanding of downstream participants' (data collectors') true needs, quality standards, and long-term purchasing intentions, downstream actors tend to over-innovate, duplicate investments, and send false demand signals. The efficiency of a data supply chain is determined not by data volume, but by the degree of consensus between parties on true value.

Read the daily articles behind this idea on the Chinese edition.