Tech
Generative AI Adoption Varies Widely Across Europe, Survey Finds
The use of generative artificial intelligence (Gen AI) tools such as ChatGPT, Gemini, and Grok has grown significantly across Europe, with millions of people now relying on the technology for personal, work, and educational purposes. These tools can generate new content, including text, images, code, and videos, based on user prompts and patterns learned from existing data.
According to Eurostat, about one-third of Europeans aged 16 to 74 used AI tools at least once in 2025. However, adoption rates vary widely across the continent, with usage ranging from 17 percent in Turkey to 56 percent in Norway. Within the European Union, Denmark leads with 48 percent of people reporting AI use, while Romania has the lowest rate at 18 percent.
Thirteen countries reported that at least two in five people had used Gen AI tools in the three months prior to the survey. These include Switzerland and Estonia (47 percent each), Malta (46 percent), Finland (46 percent), Ireland (45 percent), the Netherlands (45 percent), Cyprus (44 percent), Greece (44 percent), Luxembourg (43 percent), Belgium (42 percent), and Sweden (42 percent).
Conversely, eight countries saw usage fall below 25 percent, including Serbia (19 percent), Italy (20 percent), Bosnia and Herzegovina (20 percent), North Macedonia (22 percent), Bulgaria (23 percent), Poland (23 percent), Turkey (17 percent), and Romania (18 percent). Among major EU economies, Germany (32 percent) and Italy (20 percent) remain below the EU average, while Spain (38 percent) and France (37 percent) slightly exceed it.
Experts say the differences reflect the broader digital landscape and skill levels in each country. Colin van Noordt, a researcher at KU Leuven University in Belgium, told Euronews Next that nations with strong digital foundations, like Denmark and Switzerland, have higher adoption rates because their populations already possess digital skills, frequent internet use, and familiarity with technology.
“In countries with lower adoption, people often don’t know generative AI exists or are unsure how to use it,” van Noordt said. He added that understanding how AI can be applied in daily life or work, often referred to as “AI literacy,” is a major factor in adoption. Government policies may encourage use, but underlying digital culture and practical skills appear to have a greater impact, he said.
The survey also highlighted differences in how AI is used. Across the EU, personal use (25 percent) exceeds work-related use (15 percent) in every country, though the gap varies. In the Netherlands, personal and work use are nearly equal at 28 percent and 27 percent, respectively. In Greece, 41 percent use AI personally, compared with just 16 percent at work.
Use of AI in formal education is limited, with only 9 percent of Europeans reporting educational use. Sweden and Switzerland lead at 21 percent, while Hungary records just 1 percent. Analysts suggest that uncertainty over practical applications of AI continues to limit workplace and educational adoption.
The Eurostat data underscores a clear north–south and west–east divide in Gen AI adoption, with Nordic and digitally advanced countries leading the way and southern, central-eastern, and Balkan nations trailing.
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
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