Nieman Lab: NYT publisher Sulzberger on journalism that can stand up to AI companies

At the WAN-IFRA World News Media Congress in Marseille in June 2026, New York Times publisher A.G. Sulzberger delivered what Nieman Lab describes as one of the more direct public statements from a major news executive on the structural threat AI companies pose to journalism. The piece is a transcript and summary of his remarks, covered by Joshua Benton.

Sulzberger’s central argument is that the journalism profession has responded too slowly and too timidly to what he frames as systematic misappropriation. “Our profession has been too quiet, too passive, and too fragmented in the face of abuses by the companies leading the AI revolution,” he said. The New York Times has spent more than $20 million suing OpenAI, Microsoft, and Perplexity — a figure he cites not as a complaint but as evidence that litigation is one of the few mechanisms available to publishers trying to force a fair negotiation.

The scale he invokes is not abstract. The combined valuation of the six leading AI companies sits at roughly $11 trillion — more than three times the GDP of France. Private AI investment in the United States reached nearly $350 billion in 2025. Against that, individual news organizations negotiating for data licensing deals are in a structurally weak position, which is part of why Sulzberger argues for collective action across the industry rather than each publisher cutting its own arrangement.

The strategic advice in the speech is specific. Sulzberger tells news organizations to create clear internal standards for how AI can be used responsibly, and simultaneously to be aggressive about putting AI to work inside newsrooms to reduce costs and strengthen coverage. His framing is that passivity is not an option — either news organizations shape how AI is integrated into their workflows, or they get reshaped by it from outside.

The phrase in the headline — journalism that has its own gravity — describes the goal: original reporting so valuable and distinctive that audiences seek it out even when AI systems can generate something that superficially resembles it. Sulzberger’s argument is that quality and specificity are the only durable competitive positions available to news organizations in the current environment.

For journalists and editors thinking about where their work fits in an AI-saturated information environment, the speech is a useful provocation. It frames the problem not as technology displacing journalism but as an economic and legal structure that currently allows the technology to be built on journalism’s output without appropriate negotiation. Whether that framing translates into better outcomes for working journalists depends on whether the industry acts on it collectively.