45年来美国中产阶级持续衰落，普通人每年少赚1.2万美元

Group 1 - The article highlights a significant decline in the share of wages and benefits in the U.S. economy, projected to drop to 51.4% by Q3 2025, down from 58% in 1980, indicating a long-term trend of workers receiving a smaller portion of economic growth [2][4] - The analysis reveals that the decrease in wage share translates to an annual loss of approximately $12,000 for the average American, totaling around $2 trillion in lost wages across the workforce, which could have increased the median annual income by nearly 20% [2][4] - The widening income gap between high-income households and the middle class is emphasized, with the top 1% of families doubling their economic share from 7% to 14% between 1979 and 2022, while middle-income families saw a 6 percentage point decline in their income share [4] Group 2 - The article discusses the impact of automation and globalization on labor rights, suggesting that capital owners have benefited significantly more than workers, with collective bargaining mechanisms weakening over time [3][4] - A report from the Congressional Budget Office indicates that market income, particularly capital gains, is a major driver of the growing income disparity, with automation exacerbating the issue, especially affecting low-skilled workers [4] - The potential impact of artificial intelligence (AI) on job displacement is noted, with predictions that AI could eliminate half of entry-level white-collar jobs within five years, potentially raising unemployment rates to 20% [5][6] Group 3 - The article mentions that significant layoffs related to AI development occurred in the tech sector, with companies like Microsoft and Salesforce cutting thousands of jobs due to strategic shifts towards AI [6] - It suggests that to mitigate the adverse effects of AI on employment, government intervention is necessary, including regulatory safeguards and incentives for labor-enhancing AI technologies [6] - The importance of considering current trends and potential measures to address the challenges posed by AI is emphasized as crucial for the future [6]