What Employers Assume About Age, and What People Are Actually Planning

One gap runs through almost every piece of workforce research landing at the moment: the distance between what organisations assume about people as they age, and what those people are actually planning. Three recent findings, from the UK, Ireland and the United States, show how wide it has become.

One in five over-50s is locked out of work

The Centre for Ageing Better has coined a new term: NETER, meaning not in education, employment, training or retirement. It counts 2.9 million people aged 50 to state pension age in that group. That is 21% of the cohort, against 13% of 16 to 24-year-olds classed as NEET.

Campaigners are pressing for government action, and they are right to. But employers hold the other lever. This is not a group that has opted out of work. It is an experienced talent pool that hiring practices and inflexible role design are still filtering out.

Read the Centre for Ageing Better research

Ireland expects to work longer, but can't yet afford to

Irish Life's Life100 report finds that just 19% of people expect a hard stop at a fixed retirement age, and 74% believe people will need to work longer than previous generations did. Most plan to taper rather than stop, through reduced hours, part-time arrangements or a move into less demanding roles.

The money has not caught up. Only 31% feel confident their savings will support a longer life. Employers and financial providers are still designing around a retirement their people no longer expect: one exit, taken in your sixties, paid for by a pot most of them doubt will stretch.

Read the Irish Life Life100 report

Midlife workers are more upbeat about AI than Gen Z

Glassdoor data reported by Bloomberg shows nearly half of Gen X view their employer's use of AI positively, against roughly a third of Gen Z. That inverts the assumption built into most adoption plans.

Experience explains some of it. Senior staff write sharper prompts because they know what a good answer looks like, they catch errors faster, and they sit further away from the entry-level tasks most exposed to automation. If your AI rollout treats older workers as the resistance to be managed, the data says look again.

Read the Bloomberg report on the Glassdoor data

What this means for employers

The three findings describe one problem. Millions of experienced people want to work and are being screened out. Those still in work expect to taper rather than stop, and cannot afford the retirement their benefits package assumes. And the group most often written off as change-resistant is, on the evidence, ahead of younger colleagues on AI.

Most of the fix is mechanical: how roles are advertised and screened, whether flexible and phased options exist in practice as well as on paper, how financial wellbeing support is pitched to people in their fifties, and who gets invited into AI pilots first.

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