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Roloff says every country sets its own data rules, but Germany's GDPR decisions, plus forward-leaning Singapore, South Korea and California, influence others. Showing a European customer that German courts accept this technology makes regulatory and customer conversations easier, he says, because other jurisdictions often follow the perceived leaders.

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With the US lagging in tech regulation and Europe having little to lose, Europe is positioned to set the global standard for AI rules. This will likely mirror GDPR, resulting in a clunky, prompt-heavy user experience for AI agents that assigns liability but stifles usability and innovation.

Previously, cloud services were built as global instances and partitioned for customers. Now, demands for data sovereignty from countries like Germany require a fundamental architectural shift. Systems must be designed to run entirely within a single country's borders, ending the era of globally-shared cloud infrastructure.

Roloff notes data officers hesitate because 'no one ever gets fired for saying no,' making them fear exposure. Strong encryption guarantees and GDPR court acceptance, he says, reduce the perceived liability of sharing rather than just the technical risk. That reframes data repositories as potential value sources instead of cost centers.

US Undersecretary Rogers uses the metaphor of "regulatory gravity" to describe how EU rules, like the Digital Services Act, compel global compliance. Companies conform to EU standards even in markets like the UK, demonstrating a de facto extraterritorial reach that impacts global commerce and policy.

The European Union's strategy for leading in AI focuses on establishing comprehensive regulations from Brussels. This approach contrasts sharply with the U.S. model, which prioritizes private sector innovation and views excessive regulation as a competitive disadvantage that stifles growth.

Contrary to the view that European regulations stifle innovation, Criteo leverages its European roots. They built a single, global tech stack compliant with the highest privacy standards (like GDPR) from the start. This privacy-first approach is applied worldwide, simplifying operations and building user trust.

Anthropic is implementing AI watermarking globally, not just in Europe, to comply with EU regulations. Because the feature is baked deep into the model architecture, it's easier to apply it universally, demonstrating the EU's outsized influence on global technology policy and standards.

When entering new countries, Harvey AI first set up local Azure instances to comply with data sovereignty laws. This technical requirement became a reliable predictor that customer demand would soon necessitate a full physical office in that region.

In the absence of clear local regulations, over half of global companies, including those outside Europe, cite the EU AI Act as their governance framework. This shows that regulation provides a needed safety net for innovation, rather than stifling it.

By passing a strong AI safety law similar to those in California and New York, Illinois is part of a regulatory bloc compelling national compliance. Although these states represent only 20% of the population, they cover 40% of the AI market, forcing companies to adopt these rules nationwide.