The Turkish Competition Board’s recent decision to impose interim measures on Google over its AI-powered search services raises an important question: How should competition authorities respond to emerging technologies that are transforming established markets? The decision is significant not only for the relationship between Google and news publishers but also for the broader challenge of regulating artificial intelligence without undermining innovation and competition.
On October 8, 2026, the Turkish Competition Board imposed interim measures in an investigation into whether Google had abused its dominant position through AI Overviews and AI Mode. The investigation concerns Google’s use of news publishers’ content and the contractual conditions governing that use. The Board raised concerns that Google may be imposing discriminatory or unfair trading conditions on publishers, potentially violating Article 6 of Türkiye’s Competition Law. Although the decision does not establish a definitive infringement, it introduces obligations intended to prevent potentially irreparable harm while the investigation continues.
The underlying economic issue is closely related to the transformation of traditional search engines. Previously, search engines primarily directed users to websites where they could access information. AI-powered search services, however, increasingly provide answers directly by processing information from multiple sources. While this development reduces information acquisition costs and improves the user experience, it may also reduce traffic to the websites that originally produced the content.
For news publishers, this transformation presents a particular challenge. They bear the costs of producing original content, yet users may obtain the relevant information directly from AI-generated responses without visiting their websites. As a result, publishers may experience declining advertising revenues even when their content contributes to the services offered by digital platforms.
However, declining traffic or revenue resulting from technological progress does not, in itself, constitute a competition law infringement. Technological innovation frequently disrupts existing business models, and protecting established firms from such changes is not the purpose of competition policy. The relevant question is whether a dominant platform exploits its market power to impose unfair commercial conditions or distort competition among its trading partners.
This distinction is particularly important in Google’s case. Many news publishers depend heavily on search engines to reach their audiences. Consequently, rejecting Google’s contractual terms may involve substantial economic costs. Such dependence can weaken publishers’ bargaining positions and allow a dominant platform to influence the conditions under which their content is used.
The Turkish Competition Board’s concerns focus precisely on these issues. The Board questioned whether Google applies sufficiently objective and transparent criteria when selecting publishers, determining remuneration, and negotiating contractual terms. It also required mechanisms allowing publishers to refuse the use of their content in AI services without adversely affecting their visibility in Google’s other services.
Similar concerns have emerged internationally. In France, the competition authority imposed a €500 million fine on Google in 2021 for failing to comply with obligations concerning negotiations with news publishers. In March 2024, it imposed an additional €250 million fine for breaches of binding commitments, including issues related to the use of publishers’ content in Google’s AI service, Bard.
In the United Kingdom, the Competition and Markets Authority introduced conduct requirements in June 2026 aimed at strengthening publishers’ control over the use of their content in AI-powered search services. South Africa’s Competition Commission has also examined the effects of digital platforms on news publishers and adopted measures intended to address concerns about bargaining power and the sustainability of news production.
Meanwhile, the European Commission opened a formal antitrust investigation in December 2025 into Google’s use of online content for artificial intelligence purposes. The investigation examines whether publishers receive appropriate remuneration and whether they can effectively refuse the use of their content. It also considers whether Google’s access to YouTube content provides an advantage over competing AI developers.
These developments indicate growing regulatory attention to the relationship between dominant digital platforms and content producers. Yet they also raise questions about the appropriate scope of intervention.
Digital markets are characterized by economies of scale, network effects, data-related advantages, and substantial barriers to entry. These characteristics may reinforce the positions of established platforms and make it difficult for new competitors to enter. The integration of artificial intelligence into existing search services could further strengthen incumbent firms by allowing them to extend their established market advantages into emerging technologies.
Nevertheless, the economic justification for regulatory intervention should rest on evidence of harm to the competitive process rather than the commercial difficulties experienced by particular firms. Differences in contractual terms or remuneration, for example, are not necessarily anticompetitive. They may reflect legitimate differences in content quality, audience reach, or economic value. What matters is whether these differences can be objectively justified and whether they distort competition.
There is also considerable uncertainty about how the economic value of content used in AI services should be measured. Publishers contribute information that may improve AI-generated responses, but identifying the value attributable to individual sources is difficult. Greater transparency regarding content usage and user engagement could reduce information asymmetries and improve negotiations. This does not necessarily imply that competition authorities should determine prices or require automatic payments for every use of content.
More importantly, excessive intervention in emerging AI markets could produce unintended consequences. Developing AI technologies requires substantial investment and involves considerable technological uncertainty. Complex regulatory obligations may disproportionately burden smaller developers, potentially strengthening established platforms that are better equipped to absorb compliance costs. In such circumstances, regulation intended to promote competition could inadvertently increase market concentration.
From this perspective, the Turkish Competition Board’s approach is noteworthy. Rather than prohibiting AI-powered search or directly regulating remuneration, the interim measures emphasize transparency, objective criteria, non-discrimination, good-faith negotiations, and publishers’ ability to make independent choices. Such obligations may address specific concerns arising from market power while preserving room for commercial negotiation and technological development. Their effectiveness, however, will depend on implementation and the evidence emerging from the ongoing investigation.
The broader challenge is to distinguish between the legitimate consequences of technological change and the anticompetitive exercise of market power. Artificial intelligence may disrupt existing revenue models, but it also creates opportunities for greater efficiency, improved services, and new forms of competition. Regulatory intervention should not prevent these benefits from materializing.
Ultimately, competition law should protect the competitive process, not existing business models. As artificial intelligence continues to reshape digital markets, the task facing competition authorities is to prevent dominant firms from exploiting their market power while preserving the incentives for innovation and market entry. Achieving this balance will be essential if competition policy is to support, rather than constrain, the development of artificial intelligence.
