AI整顿美国职场，中层技术人员集体出局，CS研究生也无法幸免！

Group 1 - The core viewpoint of the articles highlights the significant impact of AI on the job market, with millions of workers facing unemployment while tech companies profit immensely from automation and AI advancements [1][3][9] - In October 2025, the U.S. saw a record high of 153,074 layoffs, a staggering 175% increase year-over-year, with the tech sector accounting for 141,000 layoffs, nearly 24% of which were in AI-related roles [3][5] - Companies that implemented aggressive layoffs, such as Amazon and Microsoft, reported substantial profit increases, with Amazon's Q2 net profit soaring by 101% and Microsoft achieving a 12% revenue growth in the first three quarters [5][9] Group 2 - The layoffs are strategically targeting middle-tier technical positions rather than indiscriminately cutting jobs, with companies like Meta eliminating 600 positions in its FAIR lab and Microsoft replacing 40% of support staff with AI tools [7][9] - Despite job losses, new opportunities are emerging in specialized fields such as medical imaging and legal document analysis, where salaries can be 40% higher than average positions, indicating a shift in skill requirements [9][11] - The U.S. social welfare system is struggling to keep pace with the rapid changes in the job market, as existing retraining programs are inadequate to meet the demands of new AI-related roles [11][14] Group 3 - Some companies are adapting by creating new roles that combine programming skills with AI knowledge, such as Google's AI collaboration engineer position, and Salesforce's dynamic skill certification for employees [13][16] - The articles emphasize the need for educational institutions to update their curricula to align with market demands, as the AI-driven employment revolution is fundamentally a skills iteration crisis rather than merely a job loss crisis [16] - The responsibility lies with both companies and society to ensure that the transition to an AI-driven economy does not lead to systemic collapse, advocating for investment in employee retraining and support systems [14][16]