The Hidden Workforce: How Ageism Costs Businesses Tech-Savvy Talent

SILVER SPRING, MD – September 14, 2026 – In an economy increasingly defined by artificial intelligence and digital transformation, a persistent and costly myth is sidelining one of the fastest-growing segments of the workforce. A new survey reveals that while a vast majority of Americans assume older workers are uncomfortable with new technology, the reality is that these experienced professionals are not only embracing AI but are eager for more training.

The findings, from a Longevity Workforce Outlook survey conducted by Ipsos on behalf of CWI Works, paint a stark picture of a talent pool rich with experience yet hampered by outdated stereotypes. The survey found that three-quarters (76%) of U.S. adults believe people assume workers 55 and older are less comfortable with new technology. This perception is even more acute among older workers themselves, with 81%—four in five—feeling the weight of this assumption. This disconnect between perception and reality represents a significant missed opportunity for industries grappling with talent shortages and the need for seasoned expertise.

The High Cost of Outdated Assumptions

The economic consequences of this bias are staggering. A landmark report from AARP previously estimated that age discrimination cost the U.S. economy $850 billion in lost GDP in a single year, a figure projected to grow into the trillions if left unaddressed. The CWI Works survey provides a granular look at the source of this economic drain: the unfounded belief that experience and technological aptitude are mutually exclusive.

While stereotypes permeate the culture, the data tells a different story. Among adults aged 55 and older who have used AI for work, a commanding 87% report being at least somewhat comfortable with the technology. Nearly half (49%) describe themselves as "very or extremely comfortable," defying the very cliché that holds them back.

“Americans are living longer, but most conversations about how we prepare for an increased life expectancy ignore the reality that people cannot achieve long-term financial security if they lack access to ongoing training and quality jobs,” said Gary A. Officer, president of CWI Works, a national non-profit dedicated to workforce development for older Americans. “Ensuring that people can continue to learn, work, and contribute throughout their longer lives is an economic and social imperative that will shape long-term financial security in an era of rapid technological change.”

This imperative is underscored by the demographic reality. Workers aged 50 and over are projected to constitute nearly a quarter of the U.S. labor force by 2030, with those 75 and older being the fastest-growing segment. Ignoring their potential is not just discriminatory; it's a strategic blunder. Experts from organizations like the Urban Institute note that the years of professional experience older workers possess are essential for the critical thinking, ethical oversight, and creative problem-solving required to manage AI outputs effectively.

Decoding Bias in the Hiring Funnel

The stereotypes identified in the survey manifest most harmfully during the hiring process. Subtle, often unintentional, 'coded language' in job descriptions acts as a powerful deterrent, signaling to older applicants that they need not apply.

According to the survey, the phrase “recent college graduate” makes 69% of workers aged 55 and older less likely to apply for a role. Other terms have a similar chilling effect. "Digital-first/digital native" turns away 41% of this demographic, with 44% of them interpreting it as a clear signal that the position is intended for a younger age group. Even seemingly innocuous phrases like “culture fit” (viewed as exclusionary by 46%) and “go-getter” (45%) are read as age-coded filters.

This systemic bias has a corrosive effect on confidence. The survey found that confidence in finding a new, comparable-paying job within a year plummets with age. While only 20% of workers aged 18-34 lack this confidence, the number jumps to 36% for those 55 and older, who often face longer periods of unemployment than their younger counterparts.

“Employers need to reexamine outdated hiring practices, job descriptions, and training and skills development opportunities, or they risk missing out on talented older workers that can offer meaningful contributions to today’s multigenerational workforce,” warned Ann Manby, chief workforce development officer at CWI Works.

The issue is attracting legal and regulatory scrutiny. The Equal Employment Opportunity Commission (EEOC) has seen a rise in age discrimination complaints. Furthermore, the increasing use of AI in recruitment is a new frontier for bias. In a precedent-setting case, one company was fined $365,000 for using an AI system that systematically rejected older candidates, highlighting the risk of automating discrimination at scale.

The Reskilling Imperative and an Eager Workforce

Perhaps the most potent myth debunked by the new research is that older workers are resistant to learning new skills. In fact, the survey reveals they are among the most eager to adapt. When asked about their desire for skills updates, workers aged 55+ showed the highest interest (34%), on par with their youngest counterparts just starting their careers (18-34, at 31%) and significantly more than middle-aged workers.

This enthusiasm extends directly to the most transformative technology of our time. The data shows Gen X workers (ages 46-61) are keeping pace with their younger colleagues, with 71% having used generative AI—a figure nearly identical to that of Millennials. Furthermore, 41% of this cohort are very or extremely interested in learning more AI and digital skills.

This desire to learn is a critical asset for companies. "The idea that you stop investing in someone after a certain age is based on a flawed premise," noted an HR analyst specializing in workforce diversity. "Data shows older workers often have lower turnover rates, meaning an investment in their training can yield a longer return than one made in a younger employee who may switch jobs more frequently."

Organizations like CWI Works, which has been connecting older workers with employers for over six decades, are stepping into this gap. Through initiatives like its Digital Certification Program, it provides training in in-demand digital skills, creating a pipeline of work-ready, experienced talent. This aligns with a broader industry shift toward skills-based hiring, which prioritizes verifiable competencies over proxies for age like graduation dates, leveling the playing field for all qualified candidates.

The message for business leaders and tech innovators is clear. The workforce is aging, but it is not becoming obsolete. By dismantling outdated stereotypes, revising biased hiring practices, and investing in continuous learning for all employees, companies can unlock a powerful, experienced, and surprisingly tech-savvy talent pool that has been hiding in plain sight.