Core Viewpoint - The research indicates that AI language models primarily impact white-collar jobs, particularly those that are procedural and highly regulated, while blue-collar jobs that focus on human services are less affected [2][62]. Group 1: AI Exposure and Job Impact - The study utilized AI exposure metrics to analyze 1.25 million job postings from January 2018 to May 2024, calculating the AI language model exposure for various occupations [1][41]. - High AI exposure jobs are predominantly white-collar positions, such as accounting, auditing, editing, sales engineering, and computer programming, while low exposure jobs include cleaners, movers, restaurant cooks, and dishwashers [58][62]. - A negative correlation was observed between AI exposure and the number of new job openings, indicating that as AI exposure increases, the number of new positions decreases [63][71]. Group 2: Labor Market Trends - The average AI language model exposure in the Chinese labor market has shown a declining trend from January 2018 to May 2024, suggesting a reduction in AI-related job postings [66][68]. - The research highlights that while AI exposure is increasing in certain sectors, the overall labor market appears stable, masking underlying shifts in employment dynamics [36][37]. Group 3: Skills Demand Changes - The demand for certain skills is changing, with a decline in the need for communication skills due to the proficiency of AI language models in this area [75][76]. - Conversely, there is an increasing demand for skills such as professionalism, management ability, self-motivation, problem-solving, and collaboration, as AI serves as an assistant rather than a complete replacement [78][81]. Group 4: Future Work Landscape - The impact of technological advancement on jobs is characterized by a "double-edged sword" effect, where some jobs are destroyed while new ones are created [85][86]. - The labor market is experiencing polarization, with increasing demand for both high-skill and low-skill jobs, while middle-skill jobs are declining [103][104]. - The trend towards task-based work is also emerging, where simple, repetitive tasks are in high demand due to the limitations of automation [106][109].

Core Points - Zhengzhou Talent Exchange Center will host eight diverse recruitment fairs in June, targeting college graduates, skilled talents, and job seekers in emerging industries [1] - The recruitment fairs will take place at Zhengzhou Talent Building, located at 169 Longhai West Road, 12th floor [1] Group 1: Recruitment Fair Themes - The recruitment fairs will feature five major themed events, including "Youth Start" for recent and past college graduates, covering fields such as finance, IT, and administration [1] - "Intelligent Manufacturing Future" will focus on high-end equipment manufacturing and new energy vehicles, offering high-skilled positions like CNC technology and mechanical design [1] - "Wisdom Gathering in Central Plains" will target core engineering fields, attracting advanced manufacturing and high-tech companies, providing diverse roles in technical research and project management [1] - "Digital Empowerment" will focus on emerging industries such as AI, big data, and cloud computing, recruiting high-level talents for technology research and product operations [1] - A comprehensive talent exchange event will cover various sectors including marketing, finance, logistics, and services, suitable for all job seekers [1] Group 2: Schedule of Events - The recruitment fairs will occur every Tuesday and Friday in June, with specific events scheduled as follows: - June 3: "Youth Start" for college graduates - June 6: Comprehensive talent exchange - June 10: "Intelligent Manufacturing Future" - June 13: Comprehensive talent exchange - June 17: "Wisdom Gathering in Central Plains" - June 20: Comprehensive talent exchange - June 24: "Digital Empowerment" - June 27: Comprehensive talent exchange [2]