Judge Dismisses Antitrust Lawsuits Against Google's AI Overviews

A federal judge has dismissed two antitrust lawsuits against Google, ruling that its AI-powered search features, known as AI Overviews, do not violate antitrust law. On Wednesday, US District Judge Amit Mehta sided with Google against claims from education platform Chegg and Penske Media Corporation (PMC), parent company of Rolling Stone. The publishers alleged that Google's AI search diverted web traffic and harmed their revenue, sparking broader discussions about how AI integration impacts content creators.

The Publishers' Core Allegations

Chegg and PMC filed their lawsuits in 2025, accusing Google of abusing its monopoly power in the search market. They argued that Google was coercing publishers into supplying content for AI Overviews for free, or face being excluded from search results. This, they claimed, diverted traffic from their sites and hurt revenue, as reported by The Verge and Ars Technica. Chegg specifically alleged that Google illegally scraped its educational content, allowing Gemini models to reproduce it and reduce platform traffic. PMC, which owns publications like Rolling Stone and Variety, argued it was unfair for content indexed for organic search to be harvested for AI answers without an opt-out option.

Judge Mehta's Legal Reasoning

Judge Amit Mehta, who previously issued a landmark antitrust ruling against Google in 2024, dismissed both lawsuits on Wednesday. He concluded that the publishers did not convincingly argue that Google was leveraging its monopoly to gain an unfair advantage in digital publishing or to force content submission for its AI, according to Engadget. Judge Mehta's decision highlighted the distinction between an expectation and a legal agreement. "Plaintiffs have pleaded only that they have an 'expectation' that Google will send them search traffic if they make their content available for free," Mehta wrote. "But an expectation is not an agreement. It is simply how a general search engine works," as quoted by The Verge and Ars Technica. While acknowledging the difficulties faced by publishers, Mehta stated that antitrust rules cannot address the economic impact of "new innovation" that may feel unfair but is not illegal. He stressed that the court must apply the law as written, not based on how parties believe it should be, Ars Technica reported.

Broader Implications for Publishers and AI Search

The dismissal of these lawsuits does not eliminate publishers' ongoing concerns about Google's AI-powered search overhaul. Many news outlets and smaller websites report a steep decline in traffic since the introduction of AI Overviews. These features often provide direct answers within search results, reducing the need for users to click through to original sources. Google is exploring ways to mitigate these concerns. The Information recently reported that Google is running a pilot program, paying about 100 publishers for their contributions to AI Overviews, AI Mode, and Gemini, according to The Verge. However, this program is reportedly not widely embraced by publishers. While publishers can opt out of having their content used for AI Overviews, their pages still appear in traditional search results. This compromise is often deemed unsatisfactory, given the increasing prominence of AI features on search results pages, as noted by Engadget.

Future Legal Landscape

While this ruling serves as a precedent, Google will likely face more legal challenges concerning AI search. US courts may find it difficult to intervene without new legislation specifically addressing AI's economic impact on content creators, especially given lawmakers' slow adaptation to the AI era, Ars Technica suggests. Publishers might find more favorable outcomes in other regions. The European Commission is actively considering similar questions regarding AI and content use, often adopting a stricter stance on Big Tech's practices. Additionally, the UK has already mandated that Google provide an AI opt-out for websites wishing to remain solely in organic search results, showcasing divergent global regulatory approaches.