At the beginning of the new year, China's AI technology has not only made new progress in scientific research breakthroughs and technological governance, but also achieved large-scale implementation in communication, cultural performances and other scenarios, attracting widespread attention from all walks of life. Many of the core technical talents who have created these impressive achievements come from domestic universities, and many of them are recent doctoral graduates, current doctoral students, and young people who have just graduated. These young people have achieved remarkable results in the field of artificial intelligence with solid professional knowledge and innovative spirit, breaking the inherent concept of overseas talent monopolizing high-end technology research and development. The maturity and development of artificial intelligence will be a long process, which requires us to focus on strategic heights and continue to attach importance to the cultivation of artificial intelligence talents. In the cultivation of artificial intelligence talents, putting technology first is a common and alarming misconception. This concept simply equates talent cultivation with the teaching of algorithms and code, neglecting the cultivation of humanistic spirit. Technology is a double-edged sword, and while humans enjoy the benefits of technology, they have also faced significant ethical challenges. If artificial intelligence talents lack awareness of the fundamental values of human society, it may lead to serious consequences such as technological abuse and even threaten human survival. Humanistic literacy has special significance in the era of artificial intelligence. It is not only a compass for technological applications, but also a brake for technological development. A qualified artificial intelligence talent should be proficient in both algorithms and human nature; We need to master technology while also understanding society. Therefore, establishing a cultivation system that emphasizes both technological ethics and humanistic literacy requires reforms from multiple dimensions such as curriculum design, teaching methods, and evaluation standards. Only by incorporating technology ethics, philosophical thinking, artistic aesthetics, and other aspects into compulsory courses, and cultivating AI talents with comprehensive literacy, can we truly promote the healthy and sustainable development of AI technology. Artificial intelligence talents are divided into different types. In the process of talent cultivation, we should not only focus on the cultivation of top scientific research talents, but also attach importance to the cultivation of "AI+" cross-border talents. With the widespread application of artificial intelligence technology, professional talents in fields such as management, rule of law, ethics, and design are also extremely important. At present, students flock to learn popular technologies such as machine learning and deep learning, and some universities also ignore the importance of related majors. This imbalance not only affects the sustainable development of artificial intelligence technology, but also poses potential risks to social stability and progress. We need to recognize that basic research is the foundation of the development of artificial intelligence. From Turing machine theory to deep learning algorithms, every major breakthrough in artificial intelligence stems from the accumulation of fundamental research. Neglecting talent cultivation for basic research is like building high-rise buildings on sandy land, destined to be unsustainable. Therefore, building a future oriented talent cultivation system requires the efforts of the government, universities, and enterprises to construct a comprehensive talent cultivation ecosystem. The government should strengthen top-level design, formulate long-term plans for the development of artificial intelligence talents at the national and regional levels, further increase investment in basic research, establish special funds and research projects, and support universities and research institutions to carry out cutting-edge and fundamental research; Universities should strengthen the construction of basic disciplines such as mathematics and physics, guide students to pay attention to the complete artificial intelligence industry chain and value chain, and cultivate versatile talents; Enterprises should increase their R&D investment, pay attention to the long-term benefits of the enterprise and the long-term incentives for talents, and provide practical platforms for talent cultivation. Interdisciplinary integration is an inevitable trend in the development of artificial intelligence. Faced with the complex challenges brought by the development of artificial intelligence technology, it is necessary to break down disciplinary barriers and build an interdisciplinary talent training model, which not only includes the intersection of science and engineering, but also achieves deep integration of arts, science and engineering. By building interdisciplinary training platforms, innovating educational models, establishing interdisciplinary mentor teams, designing modular curriculum systems, etc., we promote interdisciplinary integration and development. Collaborative innovation between industry, academia and research is an important way to cultivate talents. By establishing joint laboratories, conducting project collaborations, and organizing innovation competitions, talent cultivation is closely integrated with industry demand. Continuously deepen cooperation between schools, local enterprises, and enterprises, establish a joint supply system for knowledge, data, algorithms, and computing power, carry out the integration of government, industry, academia, research, and application, and cultivate talents throughout the entire chain, thereby improving the quality of talent cultivation and promoting the transformation of scientific and technological achievements. Artificial intelligence talent training is a systematic project. At present, China's artificial intelligence talent gap has reached 5 million person times, and the ratio of supply and demand of talent is 1:10. The structural contradiction is still prominent. The talent problem has to some extent restricted the improvement of China's innovation ability and core competitiveness in the field of artificial intelligence. Only by abandoning the mentality of seeking quick success and instant benefits, transcending the limitations of technology supremacy and building an open and inclusive training system can we cultivate outstanding talents leading the development of the AI era and provide inexhaustible impetus for the development of China's AI. (Author: Liu Songbo and Huang Zixin, respectively professors of the School of Labor and Personnel of Renmin University of China, researchers of the National Development and Strategy Research Institute, and doctoral candidates of the School of Labor and Personnel of Renmin University of China) (Liao Xinshe)