Google faces EU deadline on sharing search data with AI rivals
The European Commission is nearing a decision on how Google must comply with Article 6(11) of the Digital Markets Act, which mandates the sharing of anonymized search and click data with competitors. Competing search engines argue that Google's proposed anonymization thresholds would render 99% of the data unusable, limiting their ability to train AI models and compete effectively.
Key Takeaways
- Article 6(11) of the DMA mandates Google share anonymized ranking, query, and click patterns with third-party search engines.
- Search competitors claim Google's proposed anonymization thresholds would render 99% of search queries unusable for training purposes.
- Google captures roughly 35% of Europe’s €120 billion digital advertising market, leading to over €8.2 billion in EU fines since 2017.
- The regulation specifically targets ‘long-tail’ query data, which is critical for refining localized and niche search accuracy.
Why It Matters
This decision represents a shift from financial penalties to structural remedies by targeting Google’s data advantage directly. By forcing access to query and click signals, the EU is attempting to lower the barrier for independent European search and AI startups to compete with Alphabet’s ecosystem. For the broader streaming and ad-tech industry, the outcome will dictate how behavioral data can be leveraged across cross-platform services, potentially diluting the 'walled garden' advantage of search-driven ad targeting. Success hinges on a technical definition of anonymization that maintains data utility; if the Commission accepts Google's restrictive thresholds, the competitive impact will be negligible. Watch for the Commission’s final ruling on data scope and utility in late July 2026.
Additional Context
The European Commission intensified its pressure on Google in early 2026 by launching specific proceedings to define exactly how search data must be shared. Per The Next Web, April 2026, the Commission’s preliminary findings explicitly included AI chatbots with search functionalities as eligible data beneficiaries. This signifies a regulatory shift, recognizing conversational AI as direct competitors to traditional search engines. Brussels is now examining six specific implementation areas, including data scope, sharing frequency, and ‘fair, reasonable, and non-discriminatory’ (FRAND) pricing models.
While Google argues that broad data sharing risks user privacy and increases fraud exposure, the regulatory trend favors accessibility. Per Wired, June 2026, Google executives warned that these DMA requirements could lead to the de-anonymization of search queries by hackers, an assessment supported by some independent security experts. However, search rivals like DuckDuckGo maintain that the proposed data-sharing regime is sustainable under existing privacy frameworks. This tension mirrors ongoing U.S. litigation, where per Truth on the Market, September 2025, Judge Amit Mehta’s ruling in the D.C. District Court similarly identified user-interaction data as the 'raw material' of search quality.
Simultaneously, the EU is pursuing parallel antitrust tracks involving Google’s use of content for generative AI. Per Reuters, December 2025, the Commission opened a formal investigation into whether Google used publisher and YouTube content to train its AI models without adequate compensation. These multi-pronged actions, including a €2.95 billion fine related to ad-tech distortion in September 2025, indicate a transition away from retrospective fines toward ex-ante regulations that mandate operational changes to Google's core data-handling processes.
Read full article at brusselstimes.com
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