2021年，全球人工智能人才培育蓬勃发展，人工智能与传统产业加速融和，中国在其中处于领先地位，人才培育体系日渐完善，人才培养模式初步形成，培养了一批人工智能产业不同岗位的人才。然而，中国人工智能人才培养仍存在一些不容忽视的问题。中国人工智能人才在数量和质量上和国际上领先的国家还有差距，人工智能人才多向经济发达地区和大企业聚集，区域分布不均、供需不平衡的问题依然存在。未来，要加强人工智能人才国际和国内区域间交流合作，在校企合作、产教融合、职业短期教育等方向持续发力，加快构建人工智能人才生态系统。
In 2021，the global artificial intelligence （AI） talent cultivation has boomed，and the integration of AI and traditional industries has accelerated，among which China has been in a leading position. Chinese talent cultivation system has been improving steadily，and its talent cultivation mode has already begun to take shape，which has cultivated a number of talents in different positions for the AI industry. However，there are still some problems that can not be ignored. There is still a gap between China and the most advanced countries in terms of the quantity and quality of AI talents. Most AI talents are concentrated in developed areas and large enterprises of China，and the problems of uneven regional distribution and imbalance between supply and demand still exist. In the future，it is necessary to strengthen international and domestic exchanges and cooperation of AI talents，make continuous efforts in university-enterprise cooperation，integration of industry and education，and short-term vocational education，and accelerate the construction of an AI talent ecosystem.
| Keywords： | Vocational EducationIntegration of Industry and EducationArtificial Intelligence TalentsUniversity-enterprise Cooperation |
