The impact of artificial intelligence (AI) on the workforce is a topic of growing concern, particularly for older workers. While the focus has often been on younger professionals, a recent study from the Center for Retirement Research at Boston College reveals that AI is also significantly affecting the careers of older workers. The research, conducted by Professor Geoffrey Sanzenbacher, highlights three key ways in which AI is influencing the length and trajectory of older workers' careers.
AI's Impact on Older Workers' Careers
Sanzenbacher's study found that AI exposure in industries can lead to increased job transitions among workers aged 55 and above. This is a statistically significant effect, with certain occupations experiencing more substantial changes. The research defines AI exposure based on the extent to which AI can be used to perform an occupation's tasks, drawing on data from the Current Population Survey and the Digital Planet initiative.
The study revealed that before the launch of OpenAI's ChatGPT, older workers in AI-exposed roles were less likely to leave their jobs. However, after ChatGPT's release, this trend reversed, with older workers becoming somewhat more likely to transition out of work, including into unemployment. This shift suggests that AI is not only changing the nature of work but also the timing of career transitions for older professionals.
Narrowing Career Length Disparities
Interestingly, the research challenges the notion that older workers in physically demanding jobs have shorter career trajectories. Instead, it indicates that AI exposure may reduce the gap in career length between low- and high-paying jobs. The five careers with the highest AI exposure are web and digital interface designers, web developers, database architects, computer programmers, and data scientists. Conversely, the five careers with the lowest AI exposure are excavating and loading operations and mining workers, roof bolters and mining workers, orderlies, painting and spraying workers, and fiberglass laminators and fabricators.
This finding has significant implications for policymakers considering changes to retirement age. By understanding the potential effects of AI, they can make more informed decisions that account for the evolving nature of work and its impact on career longevity.
Social Security and High-Income Workers
The study also delves into the potential implications for Social Security. New projections indicate that the trust fund supporting Social Security may run out by late 2032. To address this, policymakers may consider raising the retirement age, a strategy employed during the last major reforms in 1983. However, Sanzenbacher warns that high-income workers may face more significant benefit cuts, emphasizing the need for these individuals to work longer to mitigate the impact of potential Social Security reductions.
Adapting to AI: A Two-Pronged Approach
Despite the challenges, older workers can take proactive steps to adapt to the changing landscape. Vicki Salemi, a career expert, suggests a two-pronged approach. First, older professionals should familiarize themselves with AI tools used in their industry, which can help them maximize their time for deeper thinking and problem-solving. Second, they should emphasize their soft skills, such as communication, relationship-building, and judgment, which are less susceptible to AI replication.
In conclusion, the impact of AI on older workers' careers is a multifaceted issue. While it presents challenges, such as job transitions and potential Social Security cuts, it also offers opportunities for adaptation and growth. By embracing AI literacy and soft skills, older professionals can navigate the evolving workforce and secure their long-term career prospects in a rapidly changing professional landscape.
