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For twenty-five years the web ran on an implicit deal. Publishers let crawlers index their content freely. Search engines sent readers back as traffic. Nobody wrote it down. AI answer engines have ended the deal unilaterally. Similarweb measured zero-click searches (queries that end without a single click to any website) at 69% by May 2025. By 2026 the figure is above 80%. A Pew Research Center study of 68,000 real queries found click-through rates fall by half when an AI summary appears: 8% versus 15% without one. Only 1% of users click the citations listed inside the summary. Ahrefs measured the click-through rate for content ranked first on informational queries, the kind where knowledge matters most, and found it had collapsed from 7.6% to 1.6%. A 79% decline, for content ranked first. On the other side: Cloudflare data puts Anthropic's crawlers at roughly 70,000 page requests per referral visit sent. The AI system takes at scale; it returns almost nothing. For ad-funded publishers this is a revenue crisis. Some have closed entirely. "The extinction-level event is already here," said Helen Havlak, publisher of The Verge. For researchers, NGOs and archives, the threat is different and in some ways sharper. Their revenue doesn't primarily depend on traffic. Their credibility does. Citation and attribution are the currency that academic and mission-driven work runs on — they justify the grant, validate the methodology, establish the institution. An AI answer that draws on research without naming it, or naming it in citations 99% of readers never click, doesn't just lose the visit. It breaks the attribution chain that makes the work legible as knowledge rather than noise. A paraphrase without a name attached makes an institution disappear in plain sight, even while its work is actively in use. The question is not only: how do we recover the traffic? It is: how does original work establish, in the age of AI interfaces, that it exists, is trustworthy, and came from somewhere specific? Those are not SEO questions. They are questions about what it means to be a canonical source. Next: what the standards bodies are building in response. #AIcopyright #ScholComm