Tech
EU Pushes AI Adoption as Use Remains Uneven Across Europe
The European Union is funding AI adoption, drafting preparedness plans, and issuing ethics guidance, but AI tool use remains uneven and sometimes taboo. With 64 percent of Europeans saying AI literacy will be essential by 2030, the real test is turning ambition into measurable, high-scale outcomes.
The EU continues to support individuals and businesses in adopting AI technologies while issuing guidance on ethical use. According to a Eurobarometer survey on the future needs of digital education, nearly two-thirds of Europeans agree that AI skills will be crucial for everyone within the next decade.
Since 2021, AI adoption among European enterprises has grown by 12.3 percent, though only 19.95 percent of businesses currently use at least one AI tool. Adoption varies widely across the continent. Denmark leads with 42.03 percent of businesses using AI, followed by Finland, Sweden, Belgium, and Luxembourg, while Romania, Poland, Bulgaria, Greece, and Cyprus remain below 10 percent. Differences in AI maturity also exist, with some companies integrating AI strategically while others rely on individual tools without broader transformation plans.
Individual use of AI also shows disparities. About a third of Europeans report having used AI tools, though only 9.8 percent use generative AI for formal education. Sweden, Malta, Denmark, Spain, and Estonia rank highest in educational use, while Hungary, Romania, Poland, Bulgaria, and Germany trail far behind. Generative AI is more widely used for work, with 15.07 percent of Europeans reporting usage, led by Malta, Denmark, the Netherlands, Estonia, and Finland. For private purposes, around a quarter of Europeans use generative AI, with Cyprus, Greece, Estonia, and Malta at the top and Hungary at the bottom.
OpenAI’s ChatGPT dominates the European market with over 80 percent share, serving 120.4 million active users in the EU, roughly 26 percent of the population. Other AI tools, including Microsoft Copilot, Google Gemini, Claude, and Perplexity, account for the remainder.
The Eurobarometer survey shows Europeans have a balanced view on AI in classrooms, with 54 percent recognizing both benefits and risks and 22 percent opposing its use entirely. Experts say the EU must improve access to safe, age-appropriate AI tools for students and educators, especially in countries with lower digital skills and internet access. AI can also support teaching learners with learning difficulties and disabilities, offering opportunities to personalize instruction.
While the EU has launched strategies such as the AI Continent Action Plan and Apply AI initiative, experts emphasize that measurable KPIs, targeted support by sector, and differentiation by business size and maturity are critical to turning policy into high-impact outcomes without wasting public resources.
Europe faces a key challenge: ensuring AI adoption keeps pace with ambition and delivers tangible results across education, business, and daily life.
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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