OpenAI and Microsoft knew they were starting a doom loop for the web
Newly unsealed court documents from The New York Times lawsuit reveal that OpenAI and Microsoft's internal teams warned scraping data for AI training would severely damage the web.

Recently unsealed court documents from The New York Times lawsuit against OpenAI and Microsoft have brought to light damning internal assessments regarding the future of the web. The files show that the companies' own documentation raised serious red flags about the consequences of their aggressive data-scraping practices used to train advanced AI models.
According to the documents, the companies explicitly warned that their methods were triggering a doom loop that would ultimately damage the wider internet ecosystem. Furthermore, the practice of harvesting web data for AI training was internally characterized in stark terms, including as the largest theft of labor in human history.
These disclosures intensify the ongoing debate over copyright, fair use, and compensation for creators in the age of generative artificial intelligence. While tech giants rely heavily on vast amounts of online text and media to improve their models, these revelations suggest they were well aware of the negative externalities imposed on content creators and publishers.
For the broader global tech community, including emerging digital markets, this legal battle highlights the critical need for a balanced approach to AI development. Protecting intellectual property rights and ensuring fair recognition for human labor remain paramount challenges as artificial intelligence continues to reshape the digital landscape.



