NextFin News - A.G. Sulzberger, the publisher of The New York Times, delivered a blistering critique of the artificial intelligence industry on Monday, characterizing the training of large language models on journalistic content as a "brazen theft of intellectual property" occurring at an unprecedented scale. Speaking at the 77th World News Media Congress in Marseille, France, Sulzberger accused tech giants of "strip-mining" news websites without permission or compensation, warning that the current trajectory of the AI revolution threatens to dismantle the economic foundations of original reporting.
The remarks represent a significant escalation in the rhetorical war between legacy media and Silicon Valley. Sulzberger, who has led the Times through a period of digital transformation and aggressive legal maneuvering, argued that the news sector has been "too quiet, too passive, and too fragmented" in the face of systemic abuses. His company is currently engaged in a high-stakes lawsuit against OpenAI and Microsoft, alleging that their products, including ChatGPT, were built by infringing on millions of copyrighted articles. The publisher’s stance is rooted in a long-term institutional commitment to protecting the "expensive, difficult work" of journalism from being commoditized by platforms that do not share in the cost of production.
While Sulzberger’s position is widely cheered by news executives—evidenced by the loud applause his speech received in Marseille—it does not represent a universal consensus within the media or technology sectors. Some major publishers, including News Corp and Axel Springer, have opted for a different path, signing multi-million dollar licensing deals with AI firms. These organizations argue that collaboration provides a necessary revenue stream and ensures their content is prioritized in AI-generated answers. Critics of the Times’ litigious approach suggest that fighting the tide of AI may be a losing battle, potentially leaving the paper isolated if the courts eventually rule that "fair use" doctrines cover AI training data.
The tension highlights a fundamental shift in the digital ecosystem. Sulzberger noted that AI companies are consolidating "outsize control" over data and public attention while failing to ensure access to trustworthy information. This "hijacking of the public square," as he termed it, places the burden of truth-seeking on a shrinking pool of professional journalists while the financial rewards accrue to the owners of the algorithms. The outcome of the Times’ legal challenge will likely set the precedent for how intellectual property is valued in the age of generative AI, determining whether newsrooms remain viable businesses or become mere data feeds for tech conglomerates.
The debate is further complicated by the rapid pace of technological adoption. Even as Sulzberger spoke, other sessions at the congress explored how AI could be used to improve newsroom efficiency and audience engagement. This duality suggests that the industry is caught between two realities: the need to defend its past work from exploitation and the necessity of using the same technology to survive the future. For now, the New York Times remains the most prominent holdout, betting that its brand and the legal system will force a more equitable distribution of the wealth generated by the AI boom.
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