As covered by TechCrunch AI, this alleged practice points to a critical, second-order problem for the AI industry: the data well is running dry. The scramble for clean, non-AI-generated text appears to be pushing companies toward increasingly controversial sources. While the destruction of physical books is a visceral image, the core issue is a systemic one—the industry's foundational models require vast, ever-expanding datasets, and the legal, ethical, and practical sources for this data are becoming scarce.
This dynamic may force a reckoning, pushing companies toward synthetic data generation or more constrained model architectures, as the easy wins from scraping the public web are long gone.