二是新质就业，要"扩"。当下以科技型企业为代表的新质生产力体系成长飞快，初步统计，新质生产力目前解决了约全国人口就业的10%。但这一就业方向 增量快，也需要进一步扩张，延长科技产业链，要在上下游增加就业。 刘永好表示，不管是城市还是农村，就业无外乎三种类型： 一是传统就业，要"稳"。制造业、服务业、建筑业等传统产业的就业人口，占全国就业人口的60%—80%。尽管现在国家大力提倡培育和发展新质生产力， 以AI为代表的人工智能迅猛发展，但是传统制造业仍然是解决就业最重要的部分，是中国经济或者解决就业的基本盘，也是消费的根基，一定要稳。 记者 刘颖 "促进消费的核心是要有工作，稳定就业特别重要。"12月16日，在中国新闻社举办的"国是论坛：2025年会"上，新希望集团董事长刘永好谈到了他对中央经 济工作会议关于提振消费和稳就业的理解。 三是灵活就业，要"活"。外卖小哥、网约车司机、卡车司机、建筑工地的农民工等，都是灵活就业者，目前灵活就业者也占据了就业人口中的较高份额。对 于灵活就业，刘永好建议国家出台一些"适度宽松"的政策，鼓励支持，同时要建立相应的社会保障体系，即与固定就业有所不同的保障体系。 ...

Group 1 - The article emphasizes that the impact of artificial intelligence (AI) on employment is limited in terms of job replacement but significantly alters the employment structure, creating new types of jobs [1][2] - AI applications in areas like autonomous driving are expected to foster new industries in research, manufacturing, and application, leading to new employment growth points [1][2] - The Chinese government's "Artificial Intelligence+" initiative highlights the importance of integrating AI into various sectors, encouraging the exploration of new service models that combine autonomous and human services [1][2] Group 2 - The integration of autonomous driving with AI, 5G, and big data is seen as a key technological force driving the transformation of traditional industries, leading to high-quality digital industry clusters and more job opportunities [2] - There has been a significant increase in demand for AI-related positions, with job postings for roles such as algorithm engineers and data analysts showing over 100% year-on-year growth [2] - The recruitment demand in the autonomous driving sector is rising, with specific roles like intelligent driving R&D engineers and safety officers becoming highly sought after, often prioritizing candidates with experience in traditional driving roles [2] Group 3 - Systematic training of high-quality talent that meets the new productivity requirements is crucial for the healthy development of the industry, with companies like Luobo Kuaiyun integrating education and research to support the autonomous driving sector [4] - Luobo Kuaiyun is collaborating with universities to establish a talent cultivation system for autonomous driving and AI, providing essential support for the industry [4]

Core Insights - The integration of autonomous driving vehicles into educational institutions aims to cultivate talent in the fields of autonomous driving and artificial intelligence, addressing the industry's demand for skilled professionals [1] - The article by Mo Rong emphasizes that artificial intelligence's impact on employment is limited in terms of job replacement but significantly alters job structures, creating new employment opportunities in emerging industries [1] - Autonomous driving technology is not merely replacing traditional driving jobs but is redefining work paradigms, leading to the emergence of new roles such as intelligent networked vehicle safety officers and data engineers [1] Industry Developments - Autonomous driving is deeply integrated with core technologies such as artificial intelligence, 5G, and big data, serving as a driving force for the transformation and upgrading of traditional industries [3] - The demand for new professions related to artificial intelligence is increasing, with 17 new job categories directly linked to AI, including intelligent networked vehicle testers and maintenance personnel [3] - Job demand in the autonomous driving sector is rising, with positions like intelligent driving R&D engineers and safety officers becoming highly sought after, and traditional drivers are being prioritized for recruitment to facilitate skill transitions [3]

Core Insights - The article emphasizes that the impact of artificial intelligence (AI) on employment is limited in terms of job replacement but significantly alters the employment structure, creating a large number of "new quality jobs" [1] - The integration of AI in areas like autonomous driving is expected to generate new industries and job opportunities, such as roles in research, manufacturing, and application [1] - The Chinese government's policy support for AI, particularly in enhancing livelihoods through the "AI+" initiative, aims to foster new employment forms that combine automated and human services [1] Group 1: Employment Impact of AI - AI technology is not merely replacing traditional jobs but is redefining production tools, leading to new work paradigms such as human-machine collaboration [1][2] - The demand for AI-related positions, such as algorithm engineers and data analysts, is projected to grow significantly, with a year-on-year increase exceeding 100% for certain roles [3] - The autonomous driving sector is seeing a rise in recruitment for positions like intelligent driving engineers and safety personnel, with a preference for candidates with traditional driving experience to facilitate skill transformation [3] Group 2: Industry Development and Talent Cultivation - The autonomous driving industry integrates multiple core technologies, including AI, 5G, and big data, driving the transformation of traditional industries and creating high-quality digital industry clusters [2] - Companies like "Luobo Kuaipao" are actively engaging in deep collaboration with educational institutions to develop a talent pipeline for the autonomous driving sector, establishing practical education programs [3][4] - The "government-enterprise collaboration and industry-academia integration" model is expected to create a development loop that supports the emergence of high-quality employment opportunities [4]