AI-generated search answers are significantly reducing traffic to content publishers, with research showing Google's AI Overviews cut outbound clicks by nearly 40% and increase zero-click searches, threatening the economic model that sustains the open web. Harvard Business School professor Alex Chan argues that beyond lost revenue, AI diverts other crucial "quality signals" — such as backlinks, subscribers, and reputation — that help identify trustworthy sources, potentially making it unviable for humans to produce quality content. Rather than compensating publishers through royalties or banning AI answers, Chan proposes new mechanisms such as provenance tracking, diversity pricing, and content audits to rebuild a functioning information ecosystem, though distinguishing human from AI content remains a significant challenge.
