The New York Times Bars AI from Leveraging its Content for Training

Dan Nicholson

The New York Times (NYT) has revamped its Terms and Conditions, expressly forbidding the utilization of its content for training Artificial Intelligence (AI) models. Entrepreneurs, especially those in the AI domain, must heed this development and understand the broader implications for the AI and media industries.

A Stand Against Unlicensed Content Scraping

As outlined in the updated terms, any content under the purview of the NYT, spanning text, images, audio and video clips, metadata, and more, cannot be employed in developing any software, particularly when training machine learning or AI systems. The move potentially stems from heightened concerns about tech behemoths like Google leveraging public web content to fine-tune their AI services. While such practices might sometimes involve unwittingly incorporating copyrighted content, the NYT’s move sends a clear signal: consent is paramount.

What Entrepreneurs Should Glean

For emerging businesses and startups, particularly those looking to use large language models for their AI-powered solutions, this signals a paradigm shift in the data they can access and utilize.

Due Diligence on Data: Entrepreneurs must ensure the datasets they use for training their AI systems respect copyrights and the terms of source materials. Breaching such conditions could lead to legal challenges and financial penalties.

Enhanced Transparency: With growing calls for transparency in AI training datasets, businesses may soon find themselves under obligation to disclose the sources of their training data, ensuring that rights holders have given their consent.

Reimagining Data Collection: For startups relying heavily on web-scraped data, a rethink might be necessary. Alternative datasets that come with explicit permissions or creating proprietary datasets could be potential routes.

Monitoring Changing Landscapes: The NYT's stance might set a precedent. As more organizations follow suit entrepreneurs will need to stay aware of changing terms across various content platforms to ensure compliance.

A Balancing Act Between AI and Journalism

The NYT’s stance also brings to the forefront the tension between the rapid advancements in AI and the rights of journalistic institutions. As AI seeks vast amounts of data to improve, media houses are wrestling with the challenge of protecting their content without stifling technological progress. The licensing of Associated Press’ archive by Open AI for training purposes suggests potential avenues for partnership and collaboration.


In a world where data is the new oil, its sources and the rights associated with it are becoming increasingly crucial. As the NYT sets a precedent entrepreneurs in the AI realm must tread with caution, ensuring that the data fueling their innovations respects the rights of creators and institutions.


The Verge

Search Engine Land


Dan Nicholson is the author of “Rigging the Game: How to Achieve Financial Certainty, Navigate Risk and Make Money on Your Own Terms,” deemed a best-seller by USA Today and The Wall Street Journal. In addition to founding the award-winning accounting and financial consulting firm Nth Degree CPAs, Dan has created and run multiple small businesses, including Certainty U and the Certified Certainty Advisor program.

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