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We talk about inclusion.
We talk about equity.
But there’s one bias quietly shaping our workforce and weakening our customer relationships, service delivery, product design — and now, our strategic future.
Ageism.
And it’s not just unethical — it’s strategically reckless.
We stand at a crossroads: organisations are embracing AI, accelerating change, and optimising for speed and scale. But at the same time, they are quietly excluding the very generation that built the systems now being automated.
Candidates over 55 are routinely labelled "overqualified," "not a cultural fit," or "too expensive."
Behind those coded words?
Bias. Assumptions. And a profound lack of strategic foresight.
Younger professionals — many now in hiring positions — are often unconsciously filtering out candidates in their parents' generation. Ironically, the very same age group may still be financially supporting those younger decision-makers through tuition, housing, and childcare for grandchildren.
By cutting off access to employment for these older professionals, organisations aren’t just discarding skill — they are eroding the very financial scaffolding that enables the next generation to learn, grow, and lead.
While companies chase youth and speed, they’re shedding the very assets that make businesses sustainable:
And nowhere is this loss more visible than in customer service and product development.
Over-55s were once the stewards of service.
They brought lived experience, professional pride, and interpersonal skill into every interaction — especially in sectors like hospitality, healthcare, and retail.
Now?
Service feels rushed. Impersonal. Transactional.
Not because younger employees are incapable — but because we’ve built teams without intergenerational balance.
We removed the people who knew what excellence looked like — and forgot to keep the memory.
It’s not just service that suffers when age is excluded — it’s the integrity of the products we build.
When over-55s are missing from technical teams, product strategy, and design reviews:
In the rush to innovate, we forgot that experience is innovation’s most reliable filter.
As AI continues to integrate into hiring, product design, and even strategic decision-making, a new danger emerges:
The data that powers AI systems is often shaped by the same biases we're trying to overcome. If past hiring patterns excluded older candidates, AI will learn to do the same — faster and with less scrutiny.
And worse, when older professionals are removed from decision-making:
AI may be brilliant at synthesis, but it is not a steward of wisdom. It cannot replace tacit knowledge, empathy, or intergenerational foresight.
If we continue to devalue and de-resource the generation who remembers how to slow down, how to stabilise, and how to warn of risk, we will end up with:
A workforce optimised for speed, but devoid of sense.
A decision-making class funded by the people they just excluded causing a skills and manpower void to follow.
A system that drowns in information but starves for insight.
And all of it trained into AI models that reflect those choices, replicating them into echo chambers of falsity, at scale.
We are creating systems where:
In doing so, we risk turning today’s ageism into tomorrow’s strategic amnesia.
We are not just replacing people with machines. We are replacing intergenerational stewardship with synthetic certainty which brings anything but certainty.
Ageism doesn’t just harm jobseekers. It harms:
Eliminating age bias isn’t a gesture — it’s a strategic unlock.
Companies that include over-55s at all levels gain:
This isn’t about giving older workers a second chance.
It’s about giving your company a chance to do better — by refusing to discard the very people who hold the blueprint to lasting value.
Ageism is costing companies more than they realise — in customer experience, product relevance, employee development, and long-term revenue.
If your brand wants to build for the real market — the one with spending power, standards, and loyalty —
you need people in the room who look like that market.
Who understand that market.
Who have shaped that market.
Not just to serve them.
To represent them — in service, in code, in design, and in vision.
Because without that voice, excellence fades — and mediocrity becomes the new normal.
And eventually, even AI won’t be able to save us from what we chose to forget.
Both Predict - Both Forget - Both Similar - But Different AI is prediction. You are perception. But both forget and humans are better at denying it. Mindset and bias awareness aren’t soft skills. They’re system stabilisers. Keep showing up. That’s the part no machine can do for you.
When was the last time your team turned irritation into catalyst, not crisis?
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