The Pulse
SPUR Adds 40-Plus Members to Its AI Content Coalition
The SPUR Coalition says it added more than 40 members, including The New York Times, AFP, The Economist and The Atlantic. The expansion brings the publisher-led group to more than 80 members across over 20 countries as it develops standards

AI.info Team · Written with AI ·
“We can’t simply hope for the best when it comes to AI companies and the future of publishing.”
David Buttle, co-founder and spokesperson, The SPUR Coalition
More than 40 new members join
The SPUR Coalition said on October 13 that it had welcomed more than 40 new members, including The New York Times, Agence France-Presse, The Atlantic, The Observer and The Economist. The additions bring the group to more than 80 members across over 20 countries, according to the coalition’s announcement. Its original members include the BBC, Financial Times, Guardian Media Group, Mediahuis, Sky News, Telegraph Media Group, Associated Press and CMA Media.
The new cohort also includes national and regional media associations, such as Brazil’s National Association of Newspapers, Mexico’s Alianza de Medios and Argentina’s ADEPA. Other additions range from ITV News and The Canadian Press to Quanta Magazine and the International News Media Association. The roster therefore brings together individual publishers, news agencies and organisations representing media companies, rather than only a collection of newspaper owners.
A standard for reporting how AI uses journalism
SPUR’s stated aim is to develop shared technical standards and systems that let publishers track how AI products use their work and support licensing discussions. The coalition says it wants licensing to become the only viable route for AI models to use copyrighted media. That is its policy goal, not a claim that the coalition can currently compel AI companies to license content.
The group published the first version of its open Content Telemetry Standard on October 2. It sets out common terms for AI agents and model builders to report when publisher content is retrieved, used as grounding for an answer, cited, displayed or engaged with on a third-party platform. SPUR says it is also developing tools to help AI companies adopt the protocol and working with industry partners on implementation and proofs of concept.
Measurement does not settle licensing
Usage reporting could give publishers more visibility into where their material appears in AI systems, but a reporting standard alone does not establish permission, payment or enforcement. SPUR’s own description of the telemetry standard presents it as a way to record and report usage, with the aim of making licensing negotiations and tracking easier. The coalition says its next work includes refining the standard and considering how it applies to existing and emerging AI uses.
That distinction matters because SPUR is not a collective licensing organisation: its members retain control over their own commercial relationships with AI companies. The October announcement says the coalition has started its first working groups with participants from across the market. For now, its concrete offer is a growing cross-border membership and a shared method for describing how AI systems handle journalistic content—not a central deal-making body or a guarantee that platforms will adopt the standard.