NYT Publisher Warns AI's Theft of Intellectual Property Will Harm Journalism, Public Trust

New York Times publisher A.G. Sulzberger issued a stark warning about the existential threat artificial intelligence poses to journalism and public trust. Speaking at the World News Media Congress, he accused leading AI companies of "brazenly stealing intellectual property" to build their generative AI systems.

“

I worry we are heading toward a future where there are fewer and fewer original reporting workers.

Sulzberger argued that companies like OpenAI, Meta, Anthropic, and Google have failed to "take core responsibility" for the data powering their technologies. He asserted that these tech giants "predatorily mine news websites" without consent or compensation, enabling AI products to hijack public discourse. This practice, he fears, will lead to a future with fewer original reporting jobs, as the costly and difficult work of journalists, investigating, contextualizing, and holding power accountable, becomes unsustainable.

“

The tech giants are predatorily mining news websites without permission and without compensation.

The publisher highlighted the news industry's existing vulnerabilities, including declining advertising revenue and reduced search traffic exacerbated by AI-generated summaries. He criticized the industry's response to the "abuse" of AI as "too silent, too passive, and too fragmented." Sulzberger called for a united front to defend the future of original news and prevent AI companies from "permanently dismantling" control over journalistic work, which could erode the audience and revenue needed for continued reporting.

“

We have been too silent, too passive, and too fragmented.

Despite his strong criticisms, Sulzberger clarified that The New York Times is not opposed to AI technology itself. The newspaper has sued OpenAI and Microsoft, becoming the first major news organization to take legal action against AI firms. However, he expressed a desire to leverage AI to enhance the newspaper's operational efficiency, stating that "shutting out powerful new technologies is a recipe for failure."

“

We cannot stand by and watch AI companies attempt to permanently dismantle our control over our own hard-won work.