AI-driven automation is lowering wages and devaluing jobs across various industries in the U.S. [1].
This trend threatens the economic stability of the workforce by allowing companies to reduce labor costs while increasing prices for consumers. As automation replaces human tasks, the bargaining power of workers diminishes, potentially leading to a long-term decline in earning potential for many professionals.
Filmmaker Daniel Kwan and tech ethicist Tristan Harris said automation allows companies to cut labor costs while charging customers more [1]. Kwan cited Uber's driver platform as an example of this dynamic, saying, "They can pay the drivers less because it's all automated. Meanwhile, they're charging customers more" [1].
The impact is already appearing in national employment data. A Goldman Sachs report cited by CNN said AI is reducing U.S. monthly payroll growth by roughly 16,000 jobs [2]. This contraction in growth suggests that AI is not merely shifting roles but actively reducing the number of new positions available in the market.
Younger workers are particularly vulnerable to these shifts. Kit Eaton said AI is hurting Gen-Z’s job prospects [3]. The entry-level roles that traditionally served as training grounds for new graduates are among the most susceptible to automation, making it harder for new entrants to build a career foundation.
However, the impact of AI varies by sector. While some industries face devaluation, others see a shift in requirements. Reporting on software engineering suggests that AI is creating new skill demands, which may lead to job augmentation rather than simple replacement [2]. This indicates a divide between roles that can be fully automated, and those that require human oversight of AI tools.
Despite these pockets of growth, the overarching trend points toward a reduction in payroll growth and a devaluation of traditional labor [1, 2].
“AI is reducing US monthly payroll growth by roughly 16,000 jobs.”
The devaluation of labor through AI suggests a structural shift in the U.S. economy where productivity gains from automation are captured by corporations rather than shared with workers. While high-skill technical roles may evolve through augmentation, the broader workforce faces a risk of wage stagnation and reduced employment opportunities, particularly for those entering the market for the first time.
