New York Times publisher A.G. Sulzberger condemned artificial intelligence companies for the brazen theft of intellectual property during a speech on Monday [1, 2].
The confrontation highlights a growing conflict between traditional media and tech firms over the use of copyrighted journalism to train AI models. If news outlets cannot protect their content, the financial viability of professional reporting may be compromised.
Speaking at the World News Media Congress in Marseille, France, Sulzberger said that AI companies are committing brazen theft of intellectual property and threaten the future of journalism [1, 2]. He said that these firms are copying content from news outlets without permission [1, 3].
Sulzberger said that the current trajectory of AI development poses a risk to the broader information ecosystem. He said these choices could cause a great deal of unnecessary harm to the news business and to the public’s access to reliable sources [3].
The publisher's remarks come as news organizations worldwide grapple with the rapid adoption of generative AI. These tools often summarize or reproduce reporting from established outlets, potentially diverting traffic and revenue away from the original publishers [1, 3].
By addressing the issue at an international forum, Sulzberger is signaling a need for industry-wide standards and legal protections. The tension centers on whether AI training constitutes fair use or a violation of copyright law that requires compensation for creators [1, 2].
“"AI companies are committing brazen theft of intellectual property and threaten the future of journalism."”
This escalation reflects a pivotal legal and economic battle over the 'training' phase of AI development. If courts or legislatures determine that AI companies must pay for the data they scrape, it could create a new revenue stream for publishers but also significantly increase the cost of developing large language models. Conversely, a ruling in favor of AI firms could accelerate the decline of the subscription-based news model.
