Ageism at Work: How to Build an Age-Inclusive Workplace
Key takeaways
- Ageism is widespread and mostly unspoken, showing up in jokes, assumptions and who gets offered the stretch assignment.
- Many inclusion programs still leave age out, which quietly signals that it doesn't count.
- Ageism runs in both directions, affecting younger employees as well as older ones.
- AI hiring tools can automate age bias at scale unless leaders test for it deliberately.
- Age inclusion is built through ordinary decisions about hiring, development, language and flexibility.
To create an age-inclusive workplace, treat age as part of belonging, not just legal compliance. Name age in your inclusion strategy, audit hiring and AI tools for age bias, design careers that bend with life stage, and challenge everyday ageist language. Age is the one dimension of diversity every one of us will eventually join.
What is ageism at work, and what does it look like day to day?
Ageism at work is stereotyping, prejudice or discrimination based on someone's age. Day to day, it is rarely dramatic. It lives in small assumptions about who can learn, who is "a culture fit," and who is worth developing.
Some common forms are so familiar they barely register:
- A job ad asking for "digital natives" or "high energy."
- Assuming an older colleague won't want training on a new tool, so not offering it.
- Dismissing a younger colleague's idea as inexperience before hearing it out.
- Birthday jokes about being "over the hill."
- Leaving someone out of a succession conversation because they are "probably retiring soon."
Each one feels small. Together they shape who stays, who speaks up, and who quietly stops trying. Having spent about fifteen years in senior housing, I've noticed that the language we use about older adults outside work tends to follow people into work. If a culture treats aging as decline, it will treat experienced employees the same way.
Which of these have you heard in your own organization in the past month, and did anyone say anything?
How common is age discrimination?
Very common, and widely expected. The WHO's Global Report on Ageism (2021) found that one in two people globally hold ageist attitudes about older people.
Workers feel it directly. AARP's 2024 research found that almost two-thirds of workers aged 50 and older had seen or experienced age discrimination at work. In a January 2025 AARP survey of more than 3,500 adults aged 50 and older, 74 percent said they believe their age could be a barrier to getting hired.
That expectation has a cost even when no one is formally discriminated against. People who believe their age counts against them tend to stop applying for internal roles, avoid asking for training and plan their exit early. Ageism doesn't only push people out. It persuades them to leave on their own.
Why do so many DEI programs leave out age?
Because age is often treated as a compliance issue rather than an inclusion issue, and because almost everyone assumes it doesn't apply to them yet.
AARP's 2020 survey of nearly 6,000 employers in 36 countries found that over half, 53 percent, did not include age as a factor in their diversity and inclusion policies. In the United States, the Age Discrimination in Employment Act protects people aged 40 and older, according to the EEOC. Many organizations stop there: legal protection on paper, little attention in practice.
There is a deeper reason, I think. Every other dimension of diversity describes groups we may or may not belong to. Age describes a group we are all heading toward. That should make it the easiest case for inclusion to make. Instead, the discomfort many of us feel about our own aging makes it easy to look away.
Globally, the case is gaining weight. The WHO's Decade of Healthy Ageing (2021–2030) names "Combatting Ageism" as one of its four action areas. For leaders, that is a signal that age inclusion is moving from a nice-to-have toward an expectation.
Where does age appear in your inclusion strategy today, and if it doesn't, who decided that?
How can AI hiring tools amplify ageism?
AI hiring tools learn from past data and rules that people set, so they can repeat old age bias faster and at greater scale. The danger is that the bias becomes invisible, because nobody sees the applicants who were filtered out.
This is not hypothetical. In September 2023, the EEOC announced that iTutorGroup would pay $365,000 to settle a lawsuit alleging that its tutor application software automatically rejected female applicants aged 55 or older and male applicants aged 60 or older. The EEOC said more than 200 qualified US applicants were rejected because of their age. That was an explicit rule. Subtler versions, such as screening on graduation year or rewarding particular career patterns, are harder to spot.
The WHO's 2022 policy brief on ageism in AI for health warns that data "can be unrepresentative of older people or skewed by past ageist stereotypes, prejudice or discrimination." The brief is about health systems, but its lesson travels well into HR. Before relying on any automated screening, leaders should ask:
- What data was this tool trained on, and how old is it?
- Does it use proxies for age, such as graduation dates or years of experience caps?
- Have outcomes been tested across age groups, and can we see the results?
- Can a human review candidates the tool rejects?
- Who in our organization is accountable if the tool discriminates?
I cover AI governance more fully in my guide to ethical AI in healthcare and senior care, and the same principles apply here.
What are the practical steps to an age-inclusive workplace?
Start with what you can see and change: language, hiring, development and flexibility. Then make age a visible part of how you measure inclusion.
Strategy — Name age explicitly in your inclusion and belonging strategy
Hiring — Remove age-coded language from job ads and test screening tools for age bias
Development — Offer training and stretch roles at every career stage, by default
Careers — Make room for phased retirement, returnships and lateral moves
Flexibility — Design for life stages, including caregiving and health needs
Culture — Retire age jokes and challenge assumptions out loud, starting with senior leaders
Teams — Build mixed-age teams and mutual mentoring, so learning runs both ways
Measurement — Break engagement, promotion and exit data down by age band
Two of these deserve emphasis. First, make development the default for everyone, rather than waiting for older employees to ask. Many won't, for the reasons above. Second, build mixed-age teams on purpose. Proximity does more to dissolve stereotypes than any training module.
None of this requires treating generations as boxes. The goal is the opposite: seeing each person's capability and life stage, rather than a birth year.
If your leadership team is ready to make age a real part of belonging, I'd be glad to help through my keynote "Leadership Across Generations" or the "Intergenerational Leadership" workshop. You can reach me through the Book Ki page on siadatan.com.
