As artificial intelligence transforms workplaces, some older professionals are choosing early retirement rather than adapt to the sweeping changes, according to reporting by the Wall Street Journal. For workers who have navigated the desktop publishing revolution of the 1980s and the rise of online platforms decades later, the advent of AI is proving to be a decisive tipping point.
Luke Michel, 68, a content strategist at the Dana-Farber Cancer Institute, has already lived through two major technology overhauls in his career. Yet the arrival of AI prompted him to accept an early-retirement offer from his employer last year, even though he had planned to work a couple more years. “The time and energy you have to devote to learning a whole new vocabulary and a whole new skill set, it wasn’t worth it,” Michel said. He emphasized that he does not reject AI entirely, using Anthropic’s Claude to learn Spanish, but he prefers to employ the technology for personal purposes rather than professional obligations.
Demographic trends underscore the shift. The share of Americans over 55 in the workforce has declined from around 40 percent in the 2010s to 37.2 percent, the lowest in more than 20 years, as rising home equity and stock-market gains give older workers the financial flexibility to leave the labor force, economists and retirement advisers say. Yet money is not the sole factor driving early exits. Many older professionals cite stress, disruption, and uncertainty brought on by AI adoption as reasons to retire sooner than planned.
“Maybe their autonomy is being challenged or changed, their friends are leaving the workplace, or they disagree with the company’s direction,” said Robert Laura, co-founder of the Retirement Coaches Association and an expert on the psychology of retirement. “When two or three of these things show up, that’s when people start to opt out. AI is a big one. It disrupts their autonomy, their professionalism.”
For Michel, the contrast between previous technological transitions and the current AI wave was stark. In the 1980s, he adapted to desktop publishing as a graphic designer and later navigated the internet revolution with energy and curiosity. “It felt different this time around,” he said. “Your battery doesn’t hold a charge as long as it used to.” He has since redirected his energy toward volunteering, art, operas, and chairing the Council on Aging in North Andover, Massachusetts.
Surveys support the growing impact of AI on retirement decisions. An AARP survey of 5,000 Americans aged 50 and older found that 25 percent of those planning to retire earlier than expected cited work stress and burnout as contributing factors. About half of respondents who had already retired indicated that financial security allowed them to leave work. Research also shows that older Americans are less likely than younger cohorts to adopt AI at work. A 2025 Pew Research Center survey found that roughly 30 percent of people aged 30 to 49 used ChatGPT on the job, nearly double the rate of those 50 and older. Meanwhile, a ManpowerGroup survey of over 13,900 workers across 19 countries revealed the steepest declines in AI confidence among Baby Boomers and Generation X employees.
Employers often struggle to reassure older workers of their value in the AI era. “We as employers aren’t doing a good enough job saying [to older workers], we value the skills that you already have, so much so that we want to invest in you to help you do your job better,” said Becky Frankiewicz, chief strategy officer at ManpowerGroup.
For some, the ethical and creative implications of AI accelerate the decision to retire. Jennifer Kerns, 60, left her role as a program manager at GitHub last month, citing concerns over AI’s use of uncredited creative work and its potential to diminish critical-thinking skills. She became disillusioned as her employer pushed employees to integrate AI tools into daily tasks and monitor usage via surveys. Financial considerations, such as stock vesting and children completing college, also informed her timing. Her first post-retirement act was a solo trip to Scotland, where she took a darning workshop—“the opposite of AI,” she said.
Economists note that early retirements can have unintended benefits for employers under pressure to reduce headcount. Gad Levanon, chief economist at the Burning Glass Institute, observes that voluntary exits reduce the need for layoffs. Some of the most technologically savvy workers are also stepping away to avoid the burden of retraining. Terry Grimm, who retired at 65 after 40 years in IT, recounted that integrating AI and other new systems into his work after his company was acquired was a tipping point. “I just got to the point where I was spending 40 hours at work and then 20 hours training and studying,” he said. “I’ll let the younger guys do this.”
