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].