Increased AI Adoption: The Gap Between Expectation and Reality As artificial intelligence (AI) transcends mere technological innovation to become a major trend across all industries, European companies are grappling with complex challenges amidst a gap between expectations and reality. Various factors, including data management, investment strategies, regulatory compliance, and talent acquisition, are determining the success or failure of AI adoption. While the potential offered by AI technology is immense, there are numerous challenges that need to be addressed to realize this potential. Analysis from the European Investment Bank (EIB) for 2025 and findings from leading global consulting firms clearly illustrate Europe's trajectory and the lessons it offers to businesses in other regions. AI adoption by European companies accelerated throughout 2025. According to McKinsey's 2025 survey, 88% of organizations worldwide were using AI in at least one business function, a 10 percentage point increase from 78% in 2024. Europe also saw a steady rise in AI adoption. According to the European Investment Bank's report, 20% of companies in the European Union (EU) with 10 or more employees integrated AI models and processes into their operations in 2025. This represents a 6.47 percentage point increase year-on-year, indicating that European companies are gradually but surely embracing AI technology. More notably, 27% of EU companies surveyed across all industrial ecosystems adopted AI by using pre-built AI tools or developing their own AI systems. However, this figure shows significant disparities based on company size. Large enterprises had an AI adoption rate more than three times higher than that of small and medium-sized enterprises (SMEs). This suggests that company size is a crucial variable in AI adoption. However, behind these statistics, practical problems still exist. The most important questions facing European companies are the actual impact of AI, the cost of implementation, and where AI can provide the greatest value to European businesses. The issue of return on investment (ROI) is particularly noteworthy. While expectations for AI-driven productivity improvements are high, the reality for many companies, especially those making significant AI investments, is that immediate financial returns remain unclear. Many companies complain about the burden of initial AI adoption costs, and SMEs, in particular, face difficulties in adopting necessary technologies due to insufficient investment capacity. Furthermore, the complexity of AI technology and data processing requirements are also among the practical barriers faced by businesses. Experts describe this as a 'discrepancy between expectation and reality.' While AI technology undoubtedly has the potential to boost productivity and efficiency, businesses are struggling because realizing tangible ROI requires a long-term perspective and a systematic approach. This reality demonstrates that AI adoption is not merely about purchasing technology but is a long-term project demanding organizational change and continuous investment. AI Adoption Status and Gaps by Industry The benefits of AI technology vary across different industrial sectors. According to 2025 data, professional services and information and communication technology (ICT) sectors are leading AI adoption, with AI usage rates in these fields already exceeding 60% in 2025. This is significantly higher compared to other industries. This high adoption rate is because these sectors are accustomed to digital infrastructure and data-driven decision-making, placing them in a relatively advantageous position to integrate AI technology into their business processes. Particularly noteworthy is the video game sector. According to the 2025 media industry outlook, AI is being increasingly adopted in video games as a driver for realism, personalization, and adaptive gameplay. The gaming industry leverages AI to analyze player behavior, adjust difficulty in real-time, and deliver personalized content, significantly enhancing the user experience. This exemplifies how the entertainment industry is discovering new growth potential through AI technology. However, not all industries are embracing AI at the same pace. In the audiovisual and news media sectors, the adoption of AI tools and applications is relatively less active. This is attributed to a combination of structural characteristics inherent in traditional media industries, content creation methods, and concerns about AI technology (e.g., ethical issues in journalism, potential for generating misinformation). This inter-industry gap illustrates that the spread of AI technology is not solely dependent on technical feasibility but also varies according to each industry's characteristics, culture, and adaptability to technology. The Rise of Agentic AI and Future Outlook One of the most exciting trends from 2025 data is the rapid emergence of Agentic AI. Executives an
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