Don’t Throw the Orchid in the Bin

Despite a recent ideological hammering, we have proof that a triple bottom line is non-negotiable and good for business. Eighty per cent of the 100 largest companies across 52 countries now practise TBL reporting, and HBR found that companies adopting it achieve an average annual ROI of 13.5%, against 9.1% for traditional businesses.

But not all TBL lines are equal. Of planet, profit and people, people are the slipperiest to catch and the hardest to quantify. The People line is the most loosely delegated, vaguely measured and poorly governed dimension of the three. Despite a smattering of board-level Workforce Champions, the issue is frequently pushed down to HR as a “culture and welfare” matter. From there, a retiree is given a couple of coaching sessions, a handshake and sent on their way somewhere between 55 and 67, depending on territory and sector.

The prevailing corporate narrative tells us that an ageing population is a balance sheet risk: ballooning pension liabilities, actuarial deficits, workforce contractions. That story is real, but it is incomplete. It looks exclusively at the liability ledger and ignores the asset side: institutional memory, client relationships built over decades, and crisis-tested judgment under extreme pressure.

We are treating mid-to-late-career talent as a managed departure schedule rather than a strategic succession infrastructure. AARP research shows L&D investment for over-45s falls off a cliff: a clear signal of perceived diminishment in usefulness and relevance.

A 50-year-old professional today is physiologically, cognitively and professionally closer to what 40 looked like a generation ago. Human biology has adapted. The workforce has somewhat adapted. Corporate governance has not.

This is not a conversation about diversity in marketing, doing the right thing, or ticking the reporting box. It is a conversation about market share, revenue resilience and the fiduciary duty to future-proof your business model.

When your product design, brand voice or digital experience quietly signals “not for you” to a 58-year-old, what is the governance mechanism that flags that lost opportunity before it hits your P&L? Right now, it doesn’t exist. Your dashboards track NPS and churn by age bracket. They do not track the opportunity cost of age exclusion, or lifetime value leakage through demographic neglect.

When teams default to youth-centric assumptions, you are not just missing a segment; you are eroding your future revenue base and exposing the business to reputational and regulatory risk. You are shorting your own customer capital. Actions by omission are visible to everyone: not only the excluded cohort, but everyone who sees their loved ones disrespected and ignored. That doesn’t read well.

Let’s strip away the sentimentality. This is not about compliance, inclusion or being nice to older workers. This is a cold, hard conversation about strategic asset management and fiduciary duty.

Under progressive regulatory standards, boards are explicitly required to demonstrate that their workforce is governed as a strategic asset, not a line-item cost. Yet when a senior account manager, division head or technical specialist leaves at 52 because they stopped feeling invested in, what governance mechanism flags that loss before it hits revenue? Your dashboards track headcount turnover as a flat percentage. They do not track knowledge churn, or years of institutional memory extinguished per quarter.

If your board ran a rigorous skills gap analysis tomorrow, would “experienced succession depth” appear as an unmitigated risk, or would it be completely invisible?

This asset destruction is accelerating right now because of a profound misunderstanding of technology. The dominant executive mindset views generative AI purely as a cost-reduction play. But as algorithmic systems absorb execution-heavy tasks, competitive advantage shifts away from execution and towards contextual wisdom (earned, learned and discerned), lived experience and high-level relationship capital. Those assets concentrate in professionals over 45.

They have the scars. They know stuff.

Hollowing out this tier doesn’t optimise your company; it destroys the exact leadership pipeline required to challenge, audit and oversee autonomous decision systems. If AI is trained entirely on historical data, and your most experienced leaders exit before tacit knowledge is codified, what exactly is being transferred, and to whom? Undocumented wisdom cannot be captured by an algorithm, nor audited by a compliance committee.

We must also talk about AI as a risk shield. When an autonomous system inevitably makes a multi-million-dollar error or hallucinates, who in your executive suite has the institutional memory of past macroeconomic cycles to catch it before it hits the balance sheet? If you have already offered those professionals voluntary redundancy, you haven’t lean-mapped your business. You have removed your insurance policy.

What is easier for a competitor to steal: your AI infrastructure, which anyone can buy SaaS licences for, or twenty years of client trust held by your senior directors? If it’s the trust, why is the software capital-backed while the human asset is guided toward the door? And in the hollowed-out lower echelons of your business, who will craft and mould new leaders? In a world where digital natives are hard-wired to search for information but don’t know how to seek guidance, mentorship structures matter more than ever.

Many board positions globally are held by individuals who fall squarely within the demographic being structurally written off, underinvested in and undervalued in the operations they supervise. The irony is stark: boards that skew older routinely sign off on talent strategies and succession matrices that assume productivity collapses after 50.

This is a fundamental culture-strategy misalignment. If a board cannot see, measure and protect the strategic value of that cohort from its own position, it cannot claim to be exercising active governance. If your reporting boasts about workforce diversity, does that data explicitly isolate age alongside gender and ethnicity? And if rating agencies began scoring workforce age equity with the rigour they apply to carbon or gender parity tomorrow, how exposed would you be?

The cost of losing experienced workers is not sentimental; it is measurable. Knowledge loss, disrupted succession and missed mentorship erode competitive advantage and inflate onboarding costs.

The upside is just as real. Companies that embrace age diversity see improved resilience, richer and more connected cultures, and stronger employer brands. Our research shows that structured knowledge transfer and phased transitions deliver tangible ROI. BNY Mellon, BMW, Home Depot, Lidl, Kuwait Oil and ISS have all strategically embedded this thinking. The question for those that haven’t is simple: what are you waiting for?