从李嘉图和汤普森中学习:早期工业革命与人工智能时代的机器与劳动

Learning From Ricardo and Thompson: Machinery and Labor in the Early Industrial Revolution and in the Age of Artificial Intelligence

Annual Review of Economics · 2024
被引 34
人大 A-ABS 3

中文导读

借鉴李嘉图和汤普森对早期工业革命中机器影响工人的分析,指出自动化提高工资需伴随新任务或互补部门就业,否则可能降低工作质量,对理解当前AI对工人的影响有参考价值。

Abstract

David Ricardo initially believed machinery would help workers but revised his opinion, likely based on the impact of automation in the textile industry. Despite cotton textiles becoming one of the largest sectors in the British economy, real wages for cotton weavers did not rise for decades. As E.P. Thompson emphasized, automation forced workers into unhealthy factories with close surveillance and little autonomy. Automation can increase wages, but only when accompanied by new tasks that raise the marginal productivity of labor and/or when there is sufficient additional hiring in complementary sectors. Wages are unlikely to rise when workers cannot push for their share of productivity growth. Today, artificial intelligence may boost average productivity, but it also may replace many workers while degrading job quality for those who remain employed. As in Ricardo's time, the impact of automation on workers today is more complex than an automatic linkage from higher productivity to better wages.

李嘉图悖论机器替代劳动自动化与工资人工智能就业效应