A study from Boston College indicates that older workers, particularly those over 55, are leaving jobs more frequently in AI-exposed industries. This trend may lead to increased unemployment, early retirement, or alternatively, longer careers aided by productivity increases from AI.
Research from the Center for Retirement Research at Boston College highlights the effects of artificial intelligence (AI) on older workers, particularly those aged 55 and above. The study indicates that these workers are transitioning out of their jobs more frequently in industries influenced by AI advancements.
According to Geoffrey Sanzenbacher, a professor of economics and author of the study, the changes are evident in both unemployment and voluntary resignations, suggesting a statistically significant impact on older workers' career trajectories.
The research outlines three main ways AI transforms the careers of older workers. First, automation may lead to job displacement, forcing individuals to either retire or exit the workforce.
Second, the pressure to keep pace with AI could motivate older workers to seek careers less impacted by technological change. Lastly, generative AI technologies might empower older employees to extend their careers by enhancing productivity and engagement in the workplace.
Prior to the launch of OpenAI's ChatGPT, older workers in AI-exposed roles exhibited lower job turnover rates. However, since its release, there has been an observable increase in transitions among these workers, including moves to unemployment. This shift suggests a growing concern within this demographic regarding their job security in an AI-driven market.
Sanzenbacher's study found that older workers most affected by AI advancements are predominantly white, have higher educational qualifications, and earn more compared to those in lower AI exposure roles. This demographic information underscores the complex relationship between education, earnings, and vulnerability in the face of technological change.
The research identifies occupations with varying degrees of AI exposure. The five professions most susceptible to job displacement are web and digital interface designers, web developers, database architects, computer programmers, and data scientists. Conversely, jobs like excavating operators, orderlies, and fiberglass fabricators are characterized by lower AI exposure and associated risks.
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A study from Boston College indicates that older workers, particularly those over 55, are leaving jobs more frequently in AI-exposed industries. This trend may lead to increased unemployment, early retirement, or alternatively, longer careers aided by productivity increases from AI.