New York Times, Economist Join 80+ Publishers in SPUR Coalition Against Unpaid AI Content Usage

Major Publishers Expand SPUR Coalition to Combat Unauthorized AI Content Usage

The New York Times, Agence France-Presse, and The Economist joined the Standards for Publisher Usage Rights (SPUR) coalition, bringing the total membership to over 80 organizations across more than 20 countries1

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. The Atlantic and Brazil's National Association of Newspapers also became members, joining founding organizations including the Financial Times, BBC, and Associated Press5

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. This expansion signals intensifying efforts by news publishers to prevent AI firms from using or profiting from their content without permission.

Launched in February by the BBC, Financial Times, Guardian, Telegraph, and Sky News, the SPUR coalition has rapidly grown to include prominent international outlets1

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. Additional members include ITV News, The Observer, L'Equipe, Radio France, NZZ, and Germany's publishers' association BDZV, alongside press groups from Japan, Argentina, and Mexico1

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. The coalition is funded entirely by its members and focuses on developing industry-wide standards rather than licensing content on their behalf2

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Content Telemetry Standard Aims to Track AI Companies' Use of News Content

SPUR recently introduced its Content Telemetry Standard, a technical framework designed to standardize how AI agents record and report their use of media content4

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. The standard provides AI tools and model developers with a method for recording instances when they retrieve an article, use it in an answer, cite it, or display it to users1

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. These records are then sent back to publishers, enabling them to track how AI systems use their work and facilitate licensing agreements1

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"Intellectual property protection and technological advancement can and must co-exist," stated Rebecca Grossman-Cohen, The New York Times' head of strategic partnerships and chief of staff2

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. The initiative aims to improve transparency around AI content usage and support efforts to ensure creators receive compensation for their work as AI companies expand operations4

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. David Buttle, SPUR's co-founder, emphasized that publishers "can't simply hope for the best when it comes to AI companies and the future of publishing"1

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Publishers Face Mounting Losses from AI-Generated Search Answers

News publishers are grappling with declining referral traffic as search engines roll out AI-generated answers that allow users to consume information without clicking through to websites5

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. Google organic-search referrals to more than 2,500 websites fell 33% globally between November 2024 and November 2025, according to a Reuters Institute report citing data from Chartbeat3

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. This decline heightens concerns about how publishers can sustain their businesses as AI platforms increasingly deliver information directly to users4

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The traffic losses compound existing challenges as publishers simultaneously fight AI training practices. Publishers are stepping up legal efforts to prevent AI companies from using their content without permission to train large language models2

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. Earlier this month, USA Today and several newspapers it owns sued OpenAI, alleging copyright infringement4

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. OpenAI and its backer Microsoft face similar copyright claims from prominent authors and news organizations, including The New York Times3

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Legal Battles and Legislative Pressure Intensify Against AI Firms

Publishers are fighting AI firms through multiple channels including courts and Congress1

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. Last month, around 300 publishers urged US lawmakers to ban stealth AI bots that scrape their sites1

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. However, the legal landscape remains complex. The US Justice Department has sided with OpenAI in one case, arguing that AI training on publishers' work can constitute fair use1

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While individual publishers continue striking their own licensing agreements with AI firms, the SPUR coalition provides shared technical tools and standards to facilitate these deals1

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. The dual approach of legal action and technical standards development reflects publisher advocacy efforts to establish control over content monetization in the AI era. As AI companies' use of news content continues expanding, the coalition's growth and technical initiatives suggest publishers are preparing for a protracted battle over intellectual property rights and compensation models that will shape the future relationship between AI development and journalism.