不久前出台的《关于深入实施"人工智能+"行动的意见》明确提出，推进人工智能全学段教育和全社会 通识教育，完善学科专业布局，加大高层次人才培养力度，超常规构建领军人才培养新模式，强化师资 力量建设，推进产教融合、跨学科培养和国际合作。AI人才作为技术创新的源头活水和关键支撑，重 要性愈加凸显。 近年来，我国在AI人才培养方面取得显著进展。高校纷纷设立人工智能学院、开设相关专业课程，科 研机构与企业加强协同创新，初步形成多层次、多渠道的人才培养格局。面对技术迭代加速、应用场景 不断拓展的现实需求，学科交叉融合程度不深、理论教学与产业实践脱节、高端领军人才和复合型人才 供给不足、区域教育资源分布不均等问题依然突出，导致我国AI人才供需比达1∶10，一定程度上制约了 人工智能领域创新能力和核心竞争力的提升。对此，要从顶层设计、产学研协同、普惠赋能和生态融通 等多维度发力，构建高质量的AI人才培养体系。 生态融通是保障。高质量人才培养体系的构建离不开包容开放的发展生态。以需求牵引创新、以场景反 哺技术，加强知识产权保护与成果转化支持，推动人工智能与实体经济、社会治理等多领域的深度融 合。例如，为缓解道路高峰期拥堵，上海 ...

Core Insights - The "2025 China AI Gala" held in Shanghai showcased the vibrant energy and limitless potential of the artificial intelligence (AI) sector, emphasizing China's international influence and open stance in AI development [1][5][6] Group 1: AI Talent Development - Experts discussed the international exchange and global cultivation of AI talent, proposing a new evolution model for talent development from "I-type" specialists to "T-type" and "π-type" talents, which combine depth and interdisciplinary breadth [3] - The dialogue highlighted the importance of addressing safety and ethical challenges in AI through technology, education, and legal frameworks, promoting a dual approach of offense and defense [3] Group 2: AI for Good - The discussion on "AI for Good" emphasized the need for global collaboration, open-source sharing, and ethical considerations, advocating for the establishment of technical standards and skill dissemination to ensure AI benefits humanity from its inception [4] - The "2025 Annual Release" segment recognized ten outstanding figures in AI, showcasing the strength of China's AI field and the continuity of scientific endeavors across generations [4] Group 3: Future Outlook - The event served as a significant platform for exchanging ideas and innovative approaches in AI development, reinforcing China's role as a leader in the global AI landscape [5][6]

Group 1 - Baidu's founder, Li Yanhong, announced plans to train an additional 10 million AI talents over the next five years, building on the completion of a previous goal to train 5 million by 2024 [3] - Nvidia's CEO Jensen Huang stated that U.S. export controls on AI chips to China are a failure, with Nvidia's market share in China dropping from 95% to 50% since the Biden administration took office. He predicts China's AI market will reach $50 billion by 2026 [4] - Infineon is innovating the power architecture needed for future AI data centers by adopting 800 V high-voltage direct current (HVDC) centralized power generation technology, enhancing energy efficiency in data centers [5] Group 2 - Apple is preparing to allow third-party developers to use its AI models to create software, aiming to stimulate new application development and enhance device appeal [5] - Tesla's CEO Elon Musk indicated that Tesla and his AI company xAI will continue purchasing chips from Nvidia and AMD, with xAI planning to build a facility in Memphis with 1 million GPUs [6][7] - CITIC Securities reported that the rapid progress of AI agents is expected to sustain an upward trend in the AI industry chain, benefiting software companies with data, customers, and scenarios [9] Group 3 - Google is introducing an "AI Mode" in its search engine, which will enhance data visualization and analysis capabilities, allowing users to easily access and understand sports statistics [11] - The new AI Mode will include shopping features, enabling users to virtually try on clothes and providing a more interactive shopping experience [12][13] - Microsoft-backed G42 and Mistral AI are collaborating to develop next-generation AI platforms and infrastructure, focusing on AI model training and industry-specific applications [15][16]