Market & Regulation
NYT v OpenAI filings reveal internal AI scraping admissions
TechCrunch AIhigh confidence
Why it matters
- →Internal corporate documents now explicitly admit AI training causes significant economic harm to content creators.
- →The 'fair use' defense faces new scrutiny as filings highlight deliberate circumvention of paywalls and copyright notices.
- →Data quantifying traffic loss (93% drop for NYT) provides concrete evidence of market substitution in court.
New unredacted filings in the three-year copyright lawsuit between The New York Times and OpenAI/Microsoft reveal internal admissions that AI training practices constitute 'theft' and threaten publishers. Documents show Microsoft executives described the situation as an 'existential threat' to journalism, while data indicates Copilot reduced NYT click-through rates by 93%. The filings also detail efforts to bypass paywalls and strip copyright notices from training datasets, including over 2 million documents from nytimes.com in Common Crawl-derived sets. These revelations challenge the industry's fair use arguments by providing evidence of known market harm.
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