粤港澳人工智能产业区域协同创新发展的现状、问题及对策OA

Amidst the backdrop of intensifying global technological competition and growing complexities and risks within international supply chains,the question of how the Guangdong-Hong Kong-Macao Greater Bay Area(hereinafter referred to as"GBA")can leverage regional collaboration to foster industrial innovation and establish itself as a leading hub for artificial intelligence(AI)has become a critical issue demanding immediate scholarly and policy attention.To address this,this study systematically investigates the current landscape of AI regional collaborative innovation within the GBA.It employs a multi-faceted approach,drawing on and synthesizing data from three primary sources:government policy documents,industrial economic data,and information from major innovation platforms.The analytical framework is built upon a comparative analysis with China's other two major AI hubs,the Beijing-Tianjin-Hebei region and the Yangtze River Delta,across five key analytical dimensions:technological innovation capacity,policy design and systemic support,the availability and flow of data elements,industrial application and adoption,and the overall innovation ecosystem.The results reveal a distinct pattern of comparative advantages and developmental gaps for the GBA,this region demonstrates a significant leading edge in areas such as AI chip design and manufacturing,high-performance computing infrastructure,and the diversity and maturity of practical AI application scenarios.However,the findings also indicate substantial room of the GBA improvement in establishing world-class basic research platforms,developing a more comprehensive and coordinated policy framework,and enhancing the international influence of its major industry events and academic activities.Furthermore,the research identifies that the increasingly complex landscape of international technology restrictions and supply chain risks constitutes a growing external challenge,further complicating the region's path toward sustainable innovation-driven growth.In response to these identified challenges and external pressures,the paper proposes a set of targeted strategic recommendations.These include strengthening top-level design and cross-jurisdictional coordination within the GBA,optimizing the spatial and functional layout of the AI industry;intensifying efforts to achieve breakthroughs in core,foundational technological innovation;deepening the empowerment of traditional and emerging industries through AI applications;and proactively building an open,collaborative,and resilient innovation ecosystem.The implementation of these strategies is essential for elevating the level of regional collaborative innovation in the Guangdong-Hong Kong-Macao Greater Bay Area's AI sector and for positioning the region as a truly globally influential leader in AI industrial innovation.