The Digital Markets Act is blocking 450 million Europeans from accessing Apple Intelligence.

Tim Cook and EU tech chief Henna Virkkunen had “constructive talks” on Tuesday about how Apple can launch its reinvented Siri in Europe without violating the bloc’s flagship competition rules. The impasse affects roughly 450 million EU users who won’t get Apple Intelligence that works while Apple figures out how to comply with DMA rules without getting fined.

This isn’t a story about Apple versus the European Commission. It’s a case study in how well-intentioned regulation can accidentally slow AI adoption by creating new distribution barriers.

The DMA Was Designed for Search, Not AI

The Digital Markets Act targets gatekeepers who abuse their power. It prevents companies like Apple from favoring their own services over competitors. The logic made sense in 2022 when the DMA was finalized: Apple controlled the App Store payment processing, the browser engine, and which apps got privileged placement. Breaking that power would open markets to competition.

But AI assistants don’t work like search engines or app stores. When someone asks Siri a question, they want the best answer. They don’t want ten options to choose from. AI engines extract information, synthesize it, and present one recommendation. The economics of discovery have shifted from “here are ten links” to “here is the answer.”

The DMA’s requirements were written for the old model. They assume gatekeepers can be forced to show competing options. But AI engines can’t reasonably be required to present multiple answers without breaking the user experience. You can’t ask ChatGPT to show you three different answers and let you pick one. That’s not how the technology works.

450 Million Users Left Behind

The scale of this problem is massive. 450 million people live in the European Union. If Apple Intelligence is blocked or severely limited there, it changes the competitive landscape for AI discovery. Google, OpenAI, Perplexity, and others face less competition in one of the world’s largest markets.

The irony is that the DMA was supposed to prevent exactly this kind of gatekeeper control. The European Commission argued that Apple’s walled garden prevented fair competition. But the compliance requirements for AI assistants are so complex that they’re creating a new kind of wall. Instead of preventing abuse, they’re preventing access.

This isn’t theoretical. Tim Cook and Henna Virkkunen aren’t meeting for publicity. They’re meeting because Apple faces “millions of dollars in fines” if it launches Apple Intelligence in Europe without DMA compliance. The company can either pay the fines, delay the launch, or figure out a way to comply without breaking the product.

The Compliance Challenge: What Apple Faces

Apple’s problem isn’t technical. It’s legal. The DMA requires gatekeepers to allow third-party services to interoperate with their core platform services and to enable users to uninstall pre-installed apps. For search engines, this means letting users choose a default search provider. For app stores, it means allowing third-party payment processing.

But AI assistants don’t fit neatly into either category. Is Siri a “core platform service” under the DMA? Does Apple need to let users replace Siri with ChatGPT or Perplexity as the system-wide assistant? Does Apple need to let third-party AI services access Apple’s user data and hardware features (microphone, location, contacts) on equal terms?

The answers aren’t clear. The DMA’s text was written before AI assistants became the primary way people get information. The European Commission is now figuring out how to apply 2022-era rules to 2026-era technology. That takes time. While they figure it out, 450 million Europeans wait.

The Competitive Distortion

If Apple Intelligence is blocked in Europe while it launches in the US, it creates a competitive distortion. Google can launch its AI assistant in Europe without the same constraints because Google isn’t considered a gatekeeper in the same way (at least not yet). OpenAI can launch ChatGPT in Europe because it’s not a gatekeeper at all. Apple faces restrictions that its competitors don’t.

This isn’t what the DMA intended. The law was designed to level the playing field, not to tilt it against one player. But the complexity of AI compliance makes it harder for large, integrated companies to move quickly. Smaller, more focused companies face fewer constraints because they don’t have the same “gatekeeper” obligations.

The long-term risk is that the DMA pushes AI innovation toward less regulated markets. If Europe becomes too complex to navigate, companies will prioritize launches in the US, Asia, and other regions where compliance is simpler. European consumers end up with second-class access to the latest AI technology.

What This Means for Brands and Publishers

Brands and publishers planning for AI discovery need contingency plans for Europe. If Apple Intelligence is blocked or limited, the competitive landscape looks different. Google and OpenAI gain more market share. Apple’s role in discovery is reduced.

This affects GEO strategy. If Apple Intelligence can’t participate in the European market, brands need to optimize for Google, Perplexity, ChatGPT, and the other AI engines that can operate there. The signals that make AI cite you might vary by platform. Entity authority across multiple domains matters everywhere, but platform-specific optimizations might differ.

Searchless.ai tracks AI citations across multiple engines. Our data shows that different AI engines cite different sources for the same queries. This isn’t just about brand recognition. It’s about structured data, answer-first content, and platform-specific optimization. If Apple Intelligence is out of the European market, brands need to double down on the engines that are in.

The Broader Regulatory Pattern

This isn’t the first time regulation has accidentally blocked technology adoption, and it won’t be the last. GDPR made it harder for small companies to process user data, which actually favored large companies who could afford compliance teams. Net neutrality rules in the US were written for wired broadband but now apply to mobile networks in ways that nobody anticipated.

AI regulation will follow the same pattern. Well-intentioned laws written for one technological moment will be applied to the next technological moment. There will be gaps. There will be unintended consequences. There will be cases where regulation designed to protect consumers actually limits their access to innovation.

The question isn’t whether AI should be regulated. It should be. The question is how to regulate in a way that protects consumers without blocking adoption. The Digital Markets Act is getting it partly right by preventing abuse, but partly wrong by creating new barriers to entry.

What Happens Next

Tim Cook and Henna Virkkunen’s “constructive talks” suggest a path forward. Apple doesn’t want to abandon the European market, and the European Commission doesn’t want to block Apple Intelligence. Both sides have incentives to find a compromise.

The most likely outcome is a phased rollout. Apple might launch a limited version of Apple Intelligence in Europe that meets DMA requirements, then expand capabilities as compliance questions get resolved. Or the European Commission might issue guidance that clarifies how the DMA applies to AI assistants, giving Apple a clearer path forward.

What’s unlikely is a quick fix. These negotiations take time. The 450 million Europeans waiting for Apple Intelligence might be waiting for months.

The Lesson for AI Regulation

The Apple DMA saga reveals a fundamental challenge for AI regulation. Regulation moves slower than technology. Laws written today will apply to AI systems that don’t exist yet. The goal shouldn’t be to write perfect regulations for current technology. It should be to create flexible frameworks that can adapt as technology evolves.

The DMA’s structure is rigid. It defines “gatekeepers” based on market share and revenue thresholds. It specifies exactly what gatekeepers can and can’t do. That specificity made sense when the targets were search engines and app stores. It makes less sense when the targets are AI assistants that don’t fit existing categories.

Future AI regulation needs more flexibility. Regulators need the ability to update rules as technology changes without requiring new legislation. Companies need clarity about what’s allowed, but the rules shouldn’t be so specific that they break when technology shifts.

What Brands Should Do Now

Brands can’t control the DMA negotiations. But they can control their own AI visibility strategy.

  1. Test your AI visibility across multiple engines. Don’t assume that if you’re visible on ChatGPT, you’re visible on Perplexity, Google, or Apple Intelligence.
  2. Create content that answers questions directly. AI engines extract the first two sentences 73% of the time. Put your answer up front.
  3. Build entity authority across multiple domains. Mentions from 6+ different domains significantly increase your chances of being cited by AI engines.
  4. Create an llms.txt file. Only 5% of websites have one, but AI engines use it to understand your content structure.
  5. Optimize for the engines that are available in your target markets. If Apple Intelligence is blocked in Europe, focus your European GEO strategy on Google, Perplexity, and ChatGPT.

AI discovery isn’t waiting for regulation to catch up. Your competitors are optimizing for AI engines today. If you wait until the regulatory landscape is clear, you’ll be invisible.

FAQ

Is Apple Intelligence blocked in Europe right now? Not officially blocked, but Apple hasn’t launched it there because of DMA compliance concerns. The company is in negotiations with the European Commission to figure out how to launch without violating competition rules.

What is the Digital Markets Act? The DMA is EU legislation that targets “gatekeeper” companies to prevent them from abusing their market power. It requires gatekeepers to allow third-party services to interoperate with their core platform services and to enable users to uninstall pre-installed apps.

Why does the DMA apply to AI assistants? The DMA’s rules were written for search engines, app stores, and other core platform services. The European Commission is now figuring out whether AI assistants like Siri count as “core platform services” under the law. This creates uncertainty for companies launching AI products in Europe.

How does this affect GEO strategy? If Apple Intelligence can’t operate in Europe, brands need to focus their European GEO strategy on the AI engines that can operate there: Google, Perplexity, ChatGPT, and others. The competitive landscape for AI discovery will look different in Europe than in the US.

What is llms.txt? llms.txt is a file that tells AI engines how to structured-read your content. It’s like robots.txt but for AI rather than traditional web crawlers. Only 5% of websites have one, but AI engines use it to understand your content structure.

How do I test my AI visibility? You can use tools like Searchless.ai to check whether AI engines mention your brand for relevant queries. Our audit shows you your visibility score across multiple AI engines and identifies gaps in your GEO strategy.

Will other AI companies face similar DMA problems? Potentially. As Google, OpenAI, and other AI companies grow larger, they could also be designated as gatekeepers under the DMA. The question is whether the DMA will be updated or reinterpreted to account for AI assistants before that happens.

How long will this take to resolve? There’s no clear timeline. The negotiations between Apple and the European Commission are ongoing. A phased rollout with limited features is one likely outcome, but the full resolution could take months.

AI discovery is happening now. Your brand is either visible to AI engines or it’s not. The 450 million Europeans waiting for Apple Intelligence are a reminder that regulatory barriers can affect access, but they don’t change the fundamental shift from search to AI recommendations.

Get your Free AI Visibility Score in 60 seconds at audit.searchless.ai