Unsealed Filings Show Microsoft & OpenAI Flagged Their Own AI Data Harvest as "Largest Labor Theft"

The tension echoes Google’s 2004–2015 Google Books litigation—another moment when a tech firm argued transformative fair use after bulk scanning millions of texts—but now the scale is orders larger and the substitution effect immediate. Since the 1710 Statute of Anne, copyright has expanded whenever new reproduction technology (the rotary press in 1843, the phonograph in 1877, Napster in 1999) threatened creators’ revenue model; these filings suggest LLMs are the next inflection. They expose a systemic pattern: platforms first ingest free cultural labor to bootstrap value, then hollow out the originators’ market—what economists call enclosure of digital commons. Whether courts bless or curb this practice will shape knowledge-work incentives for decades; if unchecked, AI developers might deplete the very data ecosystems their models need, repeating a 100-year boom-and-bust cycle of content commodification and legal catch-up.