> **来源：[研报客](https://pc.yanbaoke.cn)** # Summary of the Use of Artificial Intelligence (AI) Technologies in the European Union ## Core Content This report provides an analysis of the use of artificial intelligence (AI) technologies in the European Union (EU), based on data from two key surveys: the EU survey on the use of ICT and e-commerce in enterprises (ICT ENT) and the EU survey on the use of ICT in households and by individuals (ICT HH). The report is part of the European Union's effort to monitor AI adoption and understand its impact on both enterprises and individuals. The report outlines the methodologies used to collect and compile data on AI use, the challenges in measuring AI adoption, and the opportunities for future statistical analysis. It also presents key findings on the current state of AI adoption in the EU, highlighting differences across enterprise size and economic sectors, as well as among individuals based on socio-demographic factors. ## Main Points ### 1. AI Adoption in Enterprises - **Scope**: The report focuses on the use of AI technologies by enterprises with 10 or more employees and self-employed individuals. - **Survey Methodology**: - Conducted annually by National Statistical Institutes (NSIs) using a model questionnaire coordinated by Eurostat. - The survey covers a wide range of ICT-related topics, including AI. - Data is collected in the first quarter of the survey year and published by the end of the year. - **Key Findings**: - AI adoption is increasing rapidly across the EU. - In 2025, 20.0% of EU enterprises used at least one AI technology. - Larger enterprises are more likely to adopt AI technologies than smaller ones. - 55.0% of large enterprises, 30.4% of medium enterprises, and 17.0% of small enterprises used AI. - The use of multiple AI technologies is still relatively uncommon, but it is growing. - 13.0% used at least two AI technologies, and 8.3% used at least three. - Certain economic sectors show higher AI adoption rates than others. - The **information and communication sector** (62.5%) and **professional, scientific and technical service activities** (40.4%) are the most active in AI use. - Sectors like **construction** have lower adoption rates. ### 2. AI Use by Individuals - **Scope**: The report also examines the use of AI by individuals, focusing on **generative AI**. - **Survey Methodology**: - The **ICT HH survey** is used to collect data on individual AI use. - The topic of AI was first included in the 2025 survey, in response to the public visibility and accessibility of generative AI tools like ChatGPT. - The survey includes questions on the **purpose** of AI use and **reasons for non-use**. - **Key Findings**: - AI use by individuals is dominated by **private purposes**. - Socio-demographic factors such as **age** and **education level** significantly influence AI usage. - In 2025, **330,000 individuals** were surveyed, with a focus on those aged 16 to 74 who used the internet. ### 3. Methodological Challenges - **Definition of AI**: Defining AI is complex due to its integration into software and the lack of awareness among users. - **Focus on Generative AI**: The report decided to focus on **generative AI** as it is the most recognizable form of AI to the public. - **Data Collection Constraints**: Not all AI-related variables are collected at the EU level due to **response burden** and **legal restrictions**. - **Sampling and Accuracy**: Sampling design and standard error are used to ensure data accuracy and reliability. ### 4. Opportunities and Next Steps - The report suggests that future statistical efforts should include more detailed analysis of AI's impact on **productivity**, **monetary value**, **industries**, and **society**. - The AI module in the surveys is expected to expand as the technology evolves. ### 5. Conclusion - AI is transforming business operations and daily life in the EU. - There are significant differences in AI adoption between **enterprise sizes** and **economic sectors**. - The use of AI by individuals is growing and is influenced by **socio-demographic factors**. - The EU is working to develop a comprehensive and harmonized framework for measuring AI use, ensuring data quality and relevance for policymakers and researchers. ## Key Information - **Data Sources**: ICT ENT and ICT HH surveys, coordinated by Eurostat and conducted by NSIs. - **Data Collection**: Annual surveys, with data collected via online questionnaires. - **Survey Population**: - **Enterprises**: 10 or more employees or self-employed individuals. - **Households**: All private households with at least one member aged 16 to 74. - **Individuals**: All individuals aged 16 to 74, with optional coverage for other age groups. - **AI Definition**: AI refers to systems that use technologies like text mining, computer vision, speech recognition, and machine learning to predict, recommend, or decide on actions. - **Generative AI Focus**: The report focuses on generative AI due to its visibility and recognizability. - **Statistical Framework**: A comprehensive framework is being developed to measure AI adoption, use, and failure to adopt, with a view to expanding to other areas impacted by AI. - **Data Accuracy**: Standard error is used to measure data accuracy, with a maximum of 2 percentage points for overall proportions and 5 percentage points for subgroup proportions.