AI adoption continues to vary significantly across European businesses, with large companies moving ahead of smaller firms. In 2025, an estimated 50% to 55% of large European businesses were using AI tools, compared with just 17% of small companies.

Adoption rates also differed considerably between countries. Denmark recorded a business AI usage rate of approximately 42%, while Greece and Cyprus both stood at around 9%, highlighting the gap between Europe’s more digitally advanced economies and those where businesses are still at an early stage of adoption.

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To address this divide, Greece has introduced measures aimed at making digital technologies more accessible. These include providing 60,000 licences for digital tools to public-sector employees and delivering training to 30,000 workers. Free training programmes have also been made available to the wider public to improve digital skills, increase familiarity with AI tools and encourage their use across different areas of work.

Computing Infrastructure Becomes A Strategic Priority

Alongside efforts to improve digital skills and encourage business adoption, Greece is investing in the computing infrastructure required to support AI development.

According to Anagnostopoulos, the country’s Daedalus supercomputer, ranked 31st worldwide, was expected to begin providing AI services the following month. The system is designed to provide the computing capacity needed to train and deploy AI models, supporting both research and practical applications.

Greece’s Pharos ecosystem will complement this infrastructure by focusing on AI model development and promoting their adoption. Together, the two initiatives are intended to strengthen the country’s capacity to develop AI technologies and put them to practical use.

Advanced computing infrastructure is also central to Europe’s wider ambitions in artificial intelligence. However, expanding computing capacity alone will not be enough. Governments must combine infrastructure investment with digital skills development, organisational changes and broader access to ensure that businesses, researchers and public institutions can translate AI’s potential into tangible economic benefits.