Ageism Awareness Isn’t the Finish Line. It’s the Starting Gun. But Then What?
For much of the past decade, awareness has been treated as an achievement. Raise awareness. Start the conversation. Give the issue visibility.
Whether the topic is climate change, mental health, diversity, burnout or loneliness, our instinct has been remarkably consistent. We identify a problem, we talk about it, we encourage others to talk about it, and when enough people are talking, we begin to feel as though progress has somehow been made.
My Substack - Some Assembly Required - has always been where I work things out in public. It’s where the ideas are longest, sharpest, and least edited for palatability.
If you want to stay connected to where the thinking is going, not just the occasional post that survives the algorithm, please subscribe.
Awareness has become one of the defining currencies of modern leadership. Organisations measure it. Conferences celebrate it. Marketing campaigns are built around it. Entire movements have emerged because they succeeded in making previously invisible problems impossible to ignore.
None of that is unimportant.
Awareness matters because it creates recognition. It gives people language for experiences they may have struggled to describe. It legitimises conversations that once felt uncomfortable or taboo. In many cases, awareness is the essential first step towards change.
But it is only the first step.
Somewhere along the way, we began confusing awareness with resolution. We started believing that once a problem had entered public consciousness, the hard work was largely complete. It rarely is. Awareness identifies a problem. It does not redesign the system that created it.
That distinction has been on my mind over the past few weeks, as I continue to interview for roles that I am qualified for, but never land. And the topic of ageism, institutional memory, and career longevity popped up recently in the Singapore chapter of The Marketing Society’s WhatsApp group.
The Comments Section Doesn’t Lie
Since I started writing about the Epilogue Economy and ageism, my inbox has turned into something closer to a running case file. Comments on the articles. Invitations to speak on podcasts. Strangers in cities I have yet to visit from industries I’ve never worked in write to describe mornings that all sound the same.
Spend a few minutes scrolling through your LinkedIn and scattered amongst the posts AI, HoldCo collapses, and the rise of the independent agency, are the desperate cries for help from people who have been set aside, despite the flood of job vacancies in the market that are actually signalling a replacement strategy, not a strategic or organizational upgrade. Those same agencies (looking at you HoldCos) who are letting go of talent every week are simultaneously advertising open roles that many of those let go could have filled.
But back to me. None of these people wrote to me for sympathy.
They wrote because the pattern had stopped feeling like bad luck and started feeling like design.
The countries differ. The industries differ. The job titles differ. The experience underneath them does not: becoming invisible inside systems that claim, in every mission statement and every values deck, to prize experience above almost everything else.
Not one of them asked me to raise more awareness.
Every one of them already knew the problem existed. What they were looking for was insight into how I got myself back in the game, back into an industry that seems to have a sort of expiration date for experienced knowledge works.
Sadly, I have to tell them that I am not really back in the game, not in the way I had expected. I didn’t have answers. I only had awareness, via my own challenges and struggles, of the continuing issue of ageism in the hiring process.
Measure What Matters
Researchers running large-scale resume audits, sending out tens of thousands of otherwise-identical applications and varying only the implied age of the candidate, have found that workers in their late forties and early fifties receive roughly 29 percent fewer callbacks than workers in their late twenties. For older women, the gap widens further. In some studies, women in their mid-sixties received almost half as many callbacks as their younger counterparts, despite identical qualifications.
This isn’t a perception problem. It’s a measurable one. Older jobseekers who do get in the door interview at rates comparable to everyone else, but are offered the job roughly 40 percent less often. Something is happening after the interview, in the part of the process nobody puts on a diversity slide.
And once someone in their fifties or sixties does lose a role, the consequences compound. They remain unemployed for nearly twice as long as younger jobseekers. Roughly half are pushed out of long-tenured positions before they’re ready to leave, and the overwhelming majority of them never earn what they used to earn again. Meanwhile, formal complaints of age discrimination filed with US regulators have climbed for three consecutive years. Mentions of ageism in employee reviews on Glassdoor spiked by well over 100 percent year-on-year in early 2025. People aren’t imagining this. They’re documenting it, in real time, in exactly the places organisations claim to be listening.
Picture the composite of it. Twenty-plus years in a function. A résumé that reads like a case study in steady, compounding competence. Three hundred applications later, still no offer, and a growing suspicion that the problem isn’t the résumé at all. That suspicion is usually correct. It just isn’t a suspicion anymore. It’s a pattern with a sample size in the tens of thousands.
That, I think, is where the conversation needs to move next.
Because ageism is no longer primarily an awareness problem. It is a design problem.
When the System Is the Message
Most organisations would readily acknowledge that age bias exists. Most leaders would reject the idea that they intentionally discriminate against experienced professionals. Yet despite those good intentions, remarkably similar outcomes continue to emerge across industries and geographies.
Whenever a system consistently produces the same result, it is worth asking whether the issue lies less with the people inside the system than with the system itself. This is one of the central ideas behind the Epilogue Economy.
For decades, we have tended to frame population ageing as a social challenge. An increase in healthcare costs. Pressure on pension systems. Longer retirements. An older workforce.
Those observations are all true.
But they also encourage us to think about ageing as something happening to organisations, rather than something organisations must redesign themselves for.
Demography is not a passing trend. It is a permanent structural shift. People are living longer. Careers are extending. Birth rates are falling across much of the developed world. Skills shortages continue to grow while institutional knowledge quietly walks out the front door through retirement, redundancy or disengagement.
And yet many of our organisational practices still reflect assumptions formed decades ago. Recruitment processes quietly favour linear careers. Promotion models often assume that ambition declines with age. Learning budgets disproportionately favour younger employees. Technology is frequently discussed as though it belongs to one generation rather than being a capability that can be developed at any stage of life. Even the language written into job postings does quiet work here: phrases like “digital native,” “high energy” and “recent graduate” are, in effect, filters. They don’t say “no applicants over 45.” They don’t have to. The research shows candidates over 40 self-select out of roles coded that way before a recruiter ever opens a resume.
None of these systems were designed with malicious intent. Many simply haven’t been redesigned since the world changed.
There’s also a cost to leaving them un-redesigned, and it isn’t only borne by the candidate on the other end of the rejection. Every experienced professional pushed out of a hiring pipeline is institutional knowledge an organisation chose not to buy back. At the exact moment skills shortages are widening and birth rates are falling, that is not a minor inefficiency. It’s a strategic decision, made by default, to compete for the future with one hand tied behind the back.
This is why I believe the next phase of the conversation is not about raising awareness of ageism. It is about redesigning the architecture of opportunity.
What Redesign Actually Requires
That begins with measurement.
Ask any talent function to break down its recruitment funnel by gender and, in most cases, someone can produce it within the hour. Ask the same function to break it down by age band, and you will usually be met with silence, followed by a promise to “look into it.” That gap between the two answers is itself diagnostic. It tells you which forms of bias the organisation has decided are worth watching for, and which it has quietly agreed not to notice.
An organisation that genuinely wants to know whether age is shaping its outcomes doesn’t need a new department to find out. It needs to run its existing recruitment data through one more lens and be willing to sit with what it finds, at every stage from first application through to final offer, not just the stage that photographs well.
Language also deserves scrutiny.
Few phrases have become as casually accepted as “overqualified.” It sounds objective. Sensible, even. Yet in many cases it functions less as an assessment than as a proxy for assumption.
Too expensive. Too senior. Too likely to leave. Too difficult to manage. Each may occasionally be true. None should be presumed.
Every hiring process demands that candidates prove themselves with evidence: a portfolio, a track record, a set of references. Fair enough. But the same rigour rarely gets applied in the other direction. A rejection built on a hunch about someone’s salary expectations or their appetite for change should be held to exactly the same standard the candidate was held to. If the organisation can’t produce the evidence, it hasn’t made a decision. It’s made a guess and dressed it up as one.
Technology presents another challenge.
Artificial intelligence is now doing a meaningful share of the first-pass filtering in recruitment, and its arrival puts the entire question on a much shorter clock.
A screening model doesn’t need a line of code that says “reject candidates over 50.” It only needs ten years of past hiring decisions to learn from. If the humans making those decisions already skewed young, however unintentionally, the model absorbs that pattern as simply “what good looks like,” then applies it at a volume and speed no individual recruiter ever could.
That’s the part worth sitting with. Automating a biased process doesn’t neutralise the bias. It industrialises it, and does so quietly enough that a leader can point to the new system as evidence of progress while it does more damage, faster, than the manual process it replaced. The fix isn’t caution about adopting the technology. It’s refusing to deploy any of it without first auditing what it actually does to applicants over fifty, the same way a competent organisation would already audit for outcomes by gender or race.
Perhaps the most significant redesign, however, is philosophical. Too many organisations continue to think about age as a proxy for capability. It never was.
You can see capability. It shows up in the questions someone asks, the judgement calls they make under pressure, how they treat people with less power than them, how quickly they adapt when the plan stops working. None of that is issued at birth or expires on a schedule.
Neither, for that matter, is the capacity to spot what’s actually new.
Org charts have a habit of treating youth and experience as a trade-off, as if a team could only stock up on one by running short of the other. Sit inside almost any high-performing team for a week and the trade-off turns out to be fictional. What actually breaks teams is homogeneity of any kind, age included. A group of people who all learned the game in the same decade will tend to miss the same blind spots, chase the same fashionable ideas, and mistake familiarity for certainty.
The novelty a twenty-eight-year-old brings to a room and the pattern-recognition a fifty-eight-year-old brings to the same room aren’t competing resources. They’re different instruments, and the organisations pulling ahead right now are simply the ones that stopped forcing a choice between them.
What This Looks Like on a Tuesday
Redesign sounds abstract until you make it operational. It isn’t a rebrand. It’s a handful of unglamorous, checkable practices.
It looks like stripping age-coded language out of job postings the same way most organisations already strip gendered language, and checking that the change actually moved the applicant pool, not just the copy.
It looks like publishing the hiring funnel by age band internally, the way many now publish it by gender, and treating a drop-off after interview stage as a finding rather than a coincidence.
It looks like requiring any rejection built on “overqualified” to be rewritten in specifics before it’s allowed to go out the door — the concrete skill gap, the concrete concern — so the label can no longer close a conversation on its own.
It looks like auditing whatever AI tool is doing your first-pass screening for age-correlated outcomes before you trust it with volume.
It looks like a learning and development budget an employee can still draw on at 58, not just at 28.
It looks like mentoring programmes that run in both directions, so a 60-year-old teaching judgement and a 30-year-old teaching a new platform are both, correctly, called mentors.
None of this requires a taskforce. It requires someone senior enough to ask the questions and patient enough to sit with uncomfortable answers.
Which Brings Me Back to Awareness
Awareness was never supposed to be the destination. It was supposed to be an invitation. An invitation to question assumptions. To redesign systems. To challenge inherited practices that no longer reflect the realities of modern work.
The Epilogue Economy is, at its heart, an argument that we have entered a different demographic era while continuing to operate organisations designed for a previous one.
If that diagnosis is correct, then the solution will not come from another awareness campaign. It will come from leaders willing to redesign the systems through which opportunity flows.
History rarely remembers the people who first acknowledged a problem. It remembers the people who built something better.
Perhaps that is where the conversation should go next.
