EU Opens Antitrust Probe Into Google’s Use of Publisher and YouTube Content for AI Training

Key Takeaways

  • The European Commission is investigating whether Google used publisher and YouTube content for AI services and model training without fair compensation or a real opt‑out.
  • The probe focuses on AI Overviews, AI Mode, and Google’s obligations imposed on YouTube creators.
  • Regulators are assessing potential abuse of dominance under Article 102 TFEU, with concerns that rival AI model developers are disadvantaged.

The European Commission has launched a formal antitrust investigation into Google’s use of online content—specifically material from web publishers and creators on YouTube—to fuel its AI services and train generative models. For B2B leaders, especially those in media, advertising, cloud, and AI development, the implications are hard to ignore. It’s not merely a dispute over data rights. It’s a regulatory test of how dominant platforms integrate AI into their products and what that means for the rest of the market.

At the center of the case are two Google search features: AI Overviews and AI Mode. AI Overviews places an AI‑generated summary at the top of search results, while AI Mode functions more like a chatbot interface, answering questions conversationally. The Commission’s concern is straightforward: these outputs may rely significantly on publisher content, but without paying those publishers or giving them a meaningful way to refuse. And here’s the rub—the Commission notes that many publishers rely heavily on Google Search for traffic, so “opting out” might carry commercial risk. A small detail, but it tells you a lot about the power dynamics at play.

The second part of the investigation targets YouTube. Creators uploading videos must grant Google permission to use their content for a range of purposes, including training generative AI models. There’s no compensation for that specific use, and creators generally can’t upload to YouTube without accepting those terms. At the same time, rival AI developers are barred by YouTube policies from using the same content to train their own models. If you’re competing with Google’s AI stack, that asymmetry is more than an annoyance—it’s a structural disadvantage.

The Commission is examining whether these practices amount to an abuse of dominance under Article 102 of the Treaty on the Functioning of the European Union and Article 54 of the European Economic Area Agreement. This isn’t new territory; regulators have used these tools for years. Still, applying them to AI training data adds a layer of complexity regulators didn’t confront even a decade ago. You can almost hear legal teams across the industry asking: What counts as “unfair” access when data is the fuel for entire product lines?

Teresa Ribera, the European Commission’s Executive Vice-President for Clean, Just and Competitive Transition, framed the investigation through a broader societal lens. She emphasized that a “free and democratic society” depends on diverse media, open information access, and a healthy creative ecosystem. AI may bring innovation, she argued, but not at the cost of those principles. It’s a message that sits somewhere between policy and philosophy, but it also signals how seriously the Commission views the stakes.

A micro‑tangent here: it’s interesting how regulators increasingly describe AI questions in terms of societal infrastructure rather than tech infrastructure. That’s a shift with consequences for every product team building features that depend on third‑party data.

Back in the competitive arena, the Commission will now conduct an in‑depth investigation. There’s no legal deadline, and anyone who has followed EU antitrust knows these processes can take time. Several factors shape the timeline—case complexity, cooperation from companies, and how fully each party exercises its rights of defense. As of now, the Commission has notified Google and all national competition authorities across Member States that proceedings are open, meaning national regulators must step back under Article 11(6) of Regulation 1/2003.

For businesses that rely on Google’s ecosystem, the practical implications may emerge quietly. Publishers and creators have already been grappling with how AI summarization affects traffic and revenue. Advertisers worry about shifts in user behavior when AI‑generated answers sit above traditional results. And cloud and AI teams may be watching closely for clues about whether the EU will treat model‑training data as a regulated resource. Even so, nothing in the Commission’s announcement signals immediate operational changes for businesses; the focus is squarely on Google’s conduct and competitive effects on rivals.

Developers building large‑scale AI models also have reason to pay attention. The Commission’s concern that Google may be granting itself privileged access to content—while denying that same access to competitors—touches the heart of model parity. With YouTube’s vast data library off‑limits to everyone except Google, competitors may only have public web data, licensed datasets, or synthetic data to work with. A question that’s been simmering in technical circles resurfaces here: can independent model developers meaningfully compete without access to the world’s largest media platforms?

If you need to understand why the EU is leaning into this issue now, just look at the growth of AI‑powered search. Google’s integration of generative AI into core products changes user behavior patterns, even if subtly. That affects publishers, advertisers, creators, and AI companies downstream. It also blurs lines between “search results,” “creative works,” and “training inputs”—lines regulators are now trying to redraw. For reference, the Commission’s competition site maintains all formal cases in its public case register, and the relevant entry for this investigation is AT.40983. (Readers who want global context might compare this with reporting by outlets such as the Financial Times.)

The Commission hasn’t predicted an outcome, and the announcement makes clear that the opening of proceedings doesn’t prejudge anything. That’s where it gets tricky for industry: the rules haven’t changed yet, but the questions being asked signal where policy pressure may land. Companies that depend on Google’s ecosystem—or compete with it—may find themselves reassessing their exposure long before any decision is issued.