AI Not a Job Killer, WSJ Column Argues
A Wall Street Journal column pushes back on fears of mass AI-driven unemployment. It notes that software jobs have continued to rise despite decades of technological advances, arguing that new technologies rarely destroy more jobs than they create in the long run.
The argument that technology creates more jobs than it destroys over the long term is supported by historical data. Research from MIT shows that approximately 60% of jobs in the U.S. today are in occupations that did not exist in 1940, indicating significant job creation driven by technological innovation. Economic models suggest several ways technology offsets job losses. These include enhancing the productivity and pay of remaining workers, creating new businesses and job roles, and reducing consumer prices, which in turn boosts overall spending and generates more employment. Forecasts from the World Economic Forum's 2025 report project that while AI and related technologies will displace 92 million jobs by 2030, they are also expected to create 170 million new ones, resulting in a net increase of 78 million jobs globally. The report anticipates that 86% of businesses will be transformed by these technologies by 2030. A Goldman Sachs report estimates that generative AI could expose the equivalent of 300 million full-time jobs to automation globally. However, it also suggests that the impact on unemployment will be modest and temporary, potentially increasing the U.S. jobless rate by only half a percentage point during the transition period as displaced workers find new roles. The impact of AI is not uniform across experience levels. A Stanford study revealed a 13% relative decline in employment for early-career engineers (ages 22-25) in AI-exposed roles. In contrast, employment for experienced workers in the same occupations has remained stable or continued to grow. This trend suggests a "hollowing out" of the entry-level pipeline, as AI automates routine tasks often performed by junior employees. As a result, companies are increasingly hiring leaner, more senior teams, with some data showing a significant reduction in junior hiring at firms that adopt generative AI. The fastest-growing new roles are in fields like big data, fintech, and AI specialization. There is also expected growth in green transition jobs, such as renewable energy engineers, and frontline roles like delivery drivers and construction workers. Despite the long-term positive outlook, some research indicates a recent shift. An MIT study found that from 1980 to 2018, technology has replaced more U.S. jobs than it has created, a reversal of the trend from the previous four decades. This highlights the potential for significant short-term disruption and worker displacement during the current technological wave.
