AI Pushes Older Workers Out of Jobs Faster Than Expected

Older workers face unexpected AI disruption

Artificial intelligence is accelerating job transitions among workers aged 55 and older, particularly in occupations previously considered stable through retirement age, according to new research from the Center for Retirement Research at Boston College.

The study, authored by economics professor Geoffrey Sanzenbacher, reveals a significant shift: before ChatGPT's launch, older workers in AI-exposed roles were less likely to leave their jobs. After the generative AI tool's introduction, these same workers became more likely to transition out of employment—through both unemployment and voluntary departures.

"It's a statistically significant effect," Sanzenbacher told CNBC. "For some occupations, it can be quite large."

Three pathways for AI's impact

The research identifies three distinct ways AI may reshape older workers' careers. First, automation may directly replace workers, forcing them into unemployment or out of the labor force entirely. Second, pressure to adopt new AI tools may push some workers toward roles without these technologies or into early retirement.

The third possibility offers a more optimistic scenario: generative AI could extend careers by boosting productivity, raising wages, and allowing workers to focus on more engaging tasks rather than routine work.

The study draws on Current Population Survey data and AI exposure metrics from Tufts University's Digital Planet initiative, which measures how extensively AI can perform an occupation's tasks.

High-skill workers most vulnerable

Countering conventional wisdom about retirement patterns, the research found that older workers most susceptible to AI disruption tend to be white, college-educated, and higher-earning—demographics traditionally associated with longer careers.

The five occupations with highest AI exposure include web and digital interface designers, web developers, database architects, computer programmers, and data scientists. By contrast, roles with lowest exposure include mining workers, orderlies, and manufacturing positions requiring manual dexterity.

"AI exposure may reduce the gap in career length between low- and high-paying jobs," Sanzenbacher wrote.

Why it matters

This research arrives as Social Security faces a 2032 trust fund depletion date and policymakers consider raising the retirement age—a change that assumes high-income workers can extend their careers. If AI simultaneously shortens those same workers' employment spans, it creates a policy collision: the workers expected to work longer may lose that ability just as benefit cuts target higher earners. The findings suggest any Social Security reform must account for AI's labor market effects, not just demographic trends.

Adaptation strategies for experienced workers

AARP research indicates that 24% of workers aged 50-plus view AI as a threat to their work, while 19% see it as an opportunity. Separate AARP and LinkedIn data shows 49.4% of older workers occupy roles requiring skills AI cannot easily replicate, such as collaboration, judgment, and leadership.

Career experts recommend a dual approach: developing AI literacy while strengthening soft skills. Vicki Salemi, a career expert at Monster, advises starting with AI tools employers already use, then highlighting communication and problem-solving abilities that complement technical capabilities.

"When you can show you possess strong soft skills coupled with the ability to evolve and grow with new technology, it can be a green light for your candidacy," Salemi said.

These findings were first reported by CNBC, based on research published by the Center for Retirement Research at Boston College.