AI job disruption mirrors past tech shifts, threatening worker stability

Analysis suggests that the impact of artificial intelligence on employment may mirror painful patterns seen during previous technological revolutions, where displaced workers struggled to find comparable new roles. Goldman Sachs economist Pierfrancesco Mei noted that workers affected by earlier shifts, such as industrial automation and personal computers, frequently transitioned into less skilled positions as the demand for their prior expertise diminished. Mei's review of over 15,000 workers who lost jobs between 2016 and 2025 indicated that those displaced by AI in 2025 took approximately one month longer to secure new employment compared to other laid-off individuals. While AI is expected to eventually generate new job categories, these opportunities may require several years to become available. Furthermore, the data highlights specific vulnerabilities: older workers face heightened risk from AI-related job disruption, and young college graduates are reportedly facing hiring difficulties, suggesting AI may be replacing entry-level career starting positions. The core concern is that while technological advances boost overall economic prosperity, they risk leaving certain segments of the workforce permanently disadvantaged.