The SPUR coalition, a group of news organizations advocating for compensation when artificial intelligence systems use their content, has added The New York Times, The Economist, and Agence France-Presse (AFP) as new members. The expansion, announced this week, signals a growing push by publishers to negotiate collectively with AI developers over licensing fees and usage terms.
What SPUR wants from AI companies
SPUR's core demand is simple: AI systems that train on or generate output from news content should pay for it. The coalition argues that current practices, where large language models ingest vast archives of articles without payment, undermine the news industry's ability to fund original reporting. By joining forces, members hope to create a unified front that carries more weight than individual negotiations. The addition of three globally recognized brands — the Times, the Economist, and AFP — gives the coalition a much louder voice in those talks.
Why these three outlets matter
The New York Times is among the most cited news sources in AI training datasets, and it has already taken legal action against OpenAI and Microsoft over copyright infringement. The Economist brings a global policy and business readership, while AFP's wire service content reaches thousands of outlets worldwide. Their participation suggests that the coalition isn't just a US-centric effort; it now spans Europe, Asia, and beyond. For AI companies, that means more content owners can coordinate on terms, potentially raising the cost of doing business without licenses.
The shift toward collective bargaining
Until recently, most news organizations negotiated licensing deals one-on-one with AI firms. Those deals varied widely in scope and compensation, and many publishers complained they lacked leverage. SPUR's growth points to a different approach: band together, set shared principles, and refuse to sign deals that undercut the group. It's a strategy borrowed from labor unions and industry consortia, and it could reshape how AI content usage and licensing norms develop globally. If the coalition holds, AI developers may face a more standardized set of expectations — or a more coordinated refusal to supply training data.
What happens next
SPUR hasn't announced a specific deadline or a new round of negotiations, but its members are likely to press their case with major AI developers in the coming months. The coalition's next move will be watched closely by both publishers and tech companies, especially as regulators in the US and EU weigh new rules on AI training data. For now, the addition of the Times, the Economist, and AFP marks a clear escalation in the battle over who gets paid when machines learn from the news.
