Google’s move toward AI-generated answers is changing a basic bargain of the web: publishers create information, search engines send readers, and traffic helps support journalism. According to a Wall Street Journal report cited by TechCrunch, that flow is under pressure as AI Overviews, chatbots, and other AI-powered tools answer more questions before users reach a news site.
Search answers are replacing search referrals
For years, Google’s blue links were a major pathway from a search query to a publisher’s story, guide, review, or explainer. AI tools change that habit by giving users a direct answer in the search experience itself or inside a chatbot conversation.
The source article describes a sharp problem for publishers: when people can ask a chatbot and receive a response, they may no longer need to click through to the original article. In some cases, those answers may be generated from news content used without a publisher’s knowledge.
That shift matters because referral traffic is not just a vanity metric. It is part of the infrastructure that helps publishers reach audiences and support the work behind quality journalism. When those referrals fall, the pressure lands on the business model, not only on the analytics dashboard.
AI Overviews are already affecting publishers
Google released AI Overviews, its search result summary tool, last year. The rollout affected traffic to sites in areas such as vacation guides, health tips, and product reviews, according to the Journal as cited by TechCrunch.
The concern is that AI summaries compress the user journey. A person who once searched, scanned links, opened a publisher page, and read more may now see enough information on Google to stop there. Even when the original reporting or explanation helped inform the answer, the publisher may not receive the visit.
The article points to The New York Times as one example of the broader trend. For the paper’s desktop and mobile sites, the share of traffic from organic search fell to 36.5% in April 2025, compared with 44% three years earlier, according to Similarweb data cited in The Wall Street Journal report.
That does not mean every publisher is affected in the same way, or that every decline has a single cause. But the figures illustrate why news organizations are watching AI search closely. A smaller share of organic search traffic can force publishers to rely more heavily on other channels and revenue sources.
AI Mode could make the traffic problem harder
AI Mode, Google’s ChatGPT competitor, is expected to put even more pressure on publisher traffic. Unlike a traditional search results page built around multiple external links, AI Mode responds in a conversational tone and includes fewer outside links.
That design matters. The more complete and conversational the answer feels, the less reason a user may have to continue to a publisher’s site. For news companies, the risk is not only that search changes, but that the habit of clicking outward becomes less central to how people use the internet.
Google presents the impact differently. During Google’s developer conference in May, the company said AI Overviews has boosted search traffic, though TechCrunch notes that this may not be true for publishers. That gap between Google’s broad claim and publishers’ experience is at the center of the dispute.
Publishers are looking for new AI-era revenue
Some publishers are not waiting for search traffic to return to its previous pattern. The Atlantic and The Washington Post have spoken about the need for the industry to change business models quickly in response to this threat to journalism.
One response is to make content-sharing deals with AI companies. These arrangements can create additional revenue streams when traffic from search becomes less dependable.
The source article gives several examples:
- The Times most recently made a deal with Amazon to license editorial content to train the tech giant’s AI platforms.
- Several publishers, including The Atlantic, have signed on to work with OpenAI.
- AI startup Perplexity plans to share advertising revenue with news publishers when its chatbot surfaces their content in response to a query.
These deals do not solve every concern raised by AI search. They do, however, show how publishers are trying to put a price on the value of their archives, reporting, and editorial work when AI systems use or surface that material.
The central question is who benefits from the answer
The debate over Google AI Overviews and publisher traffic comes down to a practical question: when AI tools use information from the open web to answer users directly, how much value flows back to the organizations that created that information?
If users get answers without visiting the original sites, publishers lose a key route to readers. If AI companies license content or share revenue, publishers may gain new income, but the relationship becomes more dependent on negotiated deals with large technology platforms.
For readers, AI-generated summaries can feel efficient. For publishers, that same efficiency can weaken the traffic engine that has long connected search demand with journalism. The future of online publishing may depend on whether those two interests can be brought into a workable balance.