Artificial intelligence has become a key arena of global technological competition and a central concern for Europe's quest for technological sovereignty. This paper analyzes global AI patenting from 2010 to 2023 to assess Europe's position in an increasingly bipolar innovation landscape dominated by the United States and China. Using linked patent, firm, ownership, and citation data, we examine the geography, specialization, and international diffusion of AI innovation. We find a highly concentrated patent landscape: China leads in patent volumes, while the United States dominates in citation impact and technological influence. Europe accounts for a limited share of AI patents but exhibits signals of relatively high patent quality. Technological proximity reveals global convergence toward U.S. innovation trajectories, with Europe remaining fragmented rather than forming an autonomous pole. Gravity-model estimates show that cross-border AI knowledge flows are driven primarily by technological capability and specialization, while geographic and institutional factors play a secondary role. EU membership does not significantly enhance intra-European knowledge diffusion, suggesting that technological capacity, rather than political integration, underpins participation in global AI innovation networks.
翻译:人工智能已成为全球技术竞争的关键领域,也是欧洲追求技术主权的核心关切。本文分析了2010年至2023年全球人工智能专利申请情况,以评估欧洲在日益由美国和中国主导的两极化创新格局中的地位。通过使用关联的专利、企业、所有权和引证数据,我们考察了人工智能创新的地理分布、专业领域和国际扩散模式。研究发现专利格局高度集中:中国在专利数量上领先,而美国则在引证影响力和技术影响力方面占据主导地位。欧洲在人工智能专利中所占份额有限,但显示出相对较高的专利质量信号。技术邻近性分析表明全球创新轨迹正向美国收敛,欧洲仍处于碎片化状态,未能形成自主的创新极。引力模型估计显示,跨境人工智能知识流动主要由技术能力和专业化程度驱动,地理和制度因素仅起次要作用。欧盟成员国身份并未显著促进欧洲内部的知识扩散,这表明技术能力而非政治一体化,才是参与全球人工智能创新网络的基础。