Under the wave of AI, the evolution of automation, digitization, and intelligent production methods and processes is accelerating rapidly, and various AI tools are overwhelming. With the help of Claude Code, programmers have become accustomed to the new programming paradigm of Vibe Coding (atmosphere coding). They only need to express the desired functions in natural language, and AI can autonomously write programs; Open-Evidence、 The "Hydrogen Ion" APP, Baichuan-M3 and other medical AI applications are becoming the "second brain" of doctors, dynamically updating and assisting clinical decision-making... "One day of AI, one year of human life," said Yang Zhilin, founder and CEO of AI big model enterprise Moon Dark Side, evaluating the iteration speed of AI. The significant leap in productivity driven by AI is surprising, but at the same time, another challenge is also accelerating: AI technology iterates on a monthly, weekly, or even daily basis, while human capabilities and institutional adaptation are difficult to keep up. How to avoid the absence of "people" when AI rushes into the deep waters of the industry? Is the vision of "human-machine symbiosis" simply about "machines replacing humans"? AI deeply empowers industries with a shortage of composite talents, and the AI industry is thriving. According to data released by the Ministry of Industry and Information Technology, the number of artificial intelligence enterprises in China is expected to exceed 6000 by 2025, and the core industry scale is expected to exceed 1.2 trillion yuan. Artificial intelligence terminal products such as AI smartphones, AI computers, and AI glasses are accelerating their entry into millions of households. The application of artificial intelligence has covered key industries such as steel, non-ferrous metals, power, and communication, gradually deepening into key links such as product research and development, quality testing, and customer service. With the continuous deepening of "artificial intelligence+", the demand for AI talents has expanded from the traditional information technology industry to multiple fields such as manufacturing, healthcare, education, finance, and logistics. According to the "2025 Artificial Intelligence Industry Talent Development Report" released by Zhilian Recruitment, the demand for core technology positions such as algorithm engineers has increased by 80% year-on-year, and the number of AI product manager positions has increased by 178% year-on-year. This indicates that AI technology is accelerating its deep integration with various industries, promoting the upgrading of technology architecture and innovation of business models across the industry. At the same time, the gap for composite talents who understand both industry and AI is constantly expanding. Enterprises urgently need "translators" and "engineers" who can embed AI big models and agents into specific scenarios such as power grid scheduling, textile printing and dyeing, medical services, logistics optimization, etc. And this poses a challenge to the existing talent cultivation system and employment support. There is a clear 'scissors gap' between the slow variable of education and the fast pace of technological innovation. The iteration cycle of artificial intelligence technology is measured in months, while the update of the education system takes 5 to 10 years. ”Zheng Qinghua, secretary of the Party Committee of Tongji University and academician of the CAE Member, said that there are obstacles in supply and demand, transformation mechanism and talent flow, which restrict the innovation and development in the field of artificial intelligence. In this regard, Zheng Qinghua believes that a diversified demand-oriented assessment mechanism should be established, and a multidimensional "question making" mechanism involving universities, enterprises, third-party professional institutions, and even students should be established. Comprehensive use of methods such as unveiling and leading, targeted commissioning, stable support, and moderate competition should be employed to enhance the pertinence and practicality of scientific research projects. On the one hand, the concern about "cognitive decline" caused by dependence on AI is that students and practitioners need to strengthen their ability to deeply integrate AI with industry; On the other hand, the dependence on AI technology has raised concerns in society about the construction of professional capabilities in the field. Zhang Wenhong, director of the Infectious Diseases Department at the National Center for Infectious Diseases and Huashan Hospital affiliated with Fudan University, recently publicly stated that the prerequisite for AI to screen medical records and assist in diagnosis is that doctors have stronger professional diagnostic abilities than AI. Young doctors who directly use AI for diagnosis lack systematic clinical diagnosis training and case analysis experience, and ultimately cannot determine the correctness of AI diagnosis results. In short, Zhang Wenhong's viewpoint reflects concerns that "cognitive outsourcing" may lead to "cognitive atrophy" among doctors. The optimal solution between AI improving efficiency and cultivating professional foundations is still being explored for fields with strong specialization, significant differences in types, and long-term experience accumulation, such as healthcare and justice. In the field of computer science, the concern of "shrinking thinking" is being reflected. In September 2025, the globally renowned AI company Anthropic experienced a brief but comprehensive service interruption, with its AI infrastructure completely paralyzed for about half an hour. The Claude Code developed by the company is a representative product of Vibe Coding, and the news of its service interruption instantly hit the hot list of the developer community. Some developers jokingly said, "No! I'm going to start thinking with my brain again, writing 100% code like the original people in December 2024." Although it was just a joke, it fully reflects the wide and deep influence of current AI based programming and development methods. A developer admitted that due to the reliance on natural language dialogue in development, they have not written code by hand for nearly six months. And Vibe Coding may only be the initial state of AI services. With the leapfrog development of Agent capabilities, AI applications such as Skills and Clawdbot (now renamed Moltbot) with more comprehensive capabilities and higher system operation permissions are emerging. This also reminds people that with the increasing dependence on AI in various industries, even minor service interruptions can become significant events affecting the entire industry. At the same time, the improvement of AI coding capabilities also has a direct impact on the developers behind them. As early as April 2025, Microsoft CEO Nadella revealed an astonishing figure: 30% of Microsoft's code is now written by AI. Behind this number are over 15000 Microsoft employees who have been laid off. According to US media reports, the proportion of software engineers is close to 40%. However, AI has not provided sufficient transition window for these engineers. The "temperature gap" between high-end and grassroots positions in various industries is constantly widening. At the recent Davos Forum, Anthropic CEO Dario warned that if the high growth brought by AI only flows to a few tech giants, it will trigger a distorted situation of 'high GDP+high unemployment'. The government must establish a redistribution mechanism in advance to allow ordinary workers to share the benefits of technology, otherwise the risk of social fragmentation will far exceed the risk of AI losing control itself. ”The Opinion on Deepening the Implementation of the "Artificial Intelligence+" Action proposes to implement the "Artificial Intelligence+" People's Livelihood and Welfare Action, convey humanistic care, weave social connections, achieve intelligent goodness, and enable more achievements in artificial intelligence development to benefit all people, actively building a warmer intelligent society. To overcome the employment gap in the AI era, it is necessary to pay attention to the underlying logic of AI development, shifting from pursuing "substitution efficiency" to building a "collaborative ecosystem". One is to break down disciplinary barriers and move towards the integration of "AI+X. In order to promote the education of artificial intelligence in all stages of education in accordance with scientific standards, the Ministry of Education will release the "Guidelines for General Education of Artificial Intelligence in Primary and Secondary Schools (2025 Edition)" and the "Guidelines for the Use of Adult Artificial Intelligence for Primary and Secondary School Students (2025 Edition)" in 2025, further implementing the cultivation of innovative talents with artificial intelligence literacy. In addition, universities are also accelerating the establishment of interdisciplinary fields such as "AI+Manufacturing" and "AI+Medical", strengthening project-based learning, and enhancing joint training and collaborative research and development with the industry. The second is to sink AI applications, truly transforming AI agents from "question answering tools" to "task collaborators", proposing executable solutions, and assisting practitioners in making more comprehensive and accurate decisions. At the same time, after making decisions, AI autonomously disassembles implementation paths, calls data, and controls operations, making it an "intelligent co pilot" in work rather than a "black box judge". The third is to strengthen employment policies and build a transition buffer network. The development of AI has also driven new professions such as data annotation, AI training, and AI product design. The country should accelerate the development of skill standards and certification systems for AI related new professions. Zhang Yunming, Deputy Minister of Industry and Information Technology, stated that the Ministry of Industry and Information Technology will adhere to the application driven approach, fully leverage the integration of artificial intelligence, and continuously improve the artificial intelligence literacy of workers while promoting the restructuring of organizational models, work methods, and production paradigms, cultivating more compound talents who understand both artificial intelligence and manufacturing. The Ministry of Human Resources and Social Security also recently announced that it will implement a stable employment expansion and quality improvement action, launch employment support measures for key industries, and issue documents to address the impact of artificial intelligence on promoting employment. From the Industrial Revolution to the Information Technology Revolution, major technological changes have raised concerns about employment, but ultimately achieved productivity improvement, optimization of employment structure, and creation of new job opportunities through industrial transformation. Technological progress often accompanies the restructuring of employment structure and the iteration of employment positions, but restructuring does not mean disappearance, and iteration does not mean substitution. We should approach development issues with a developmental perspective, and they will definitely be resolved. In the face of this new journey of human-machine collaboration, we need to cultivate not only AI tool operators, but also creative dreamers. And this will determine the employment landscape for the next 10 years. (New Society)