[stock_market_widget type=”card” template=”basic2″ assets=”EGAN” realtime=”true” api=”yahoo-finance”]
There is a workforce transition playing out across virtually every industry right now, and most organizations are not treating it with nearly enough seriousness. More than 30 million Americans are expected to turn 65 within the next four years, and while that number has been discussed at length as a demographic milestone, it carries a far less talked about consequence: when those workers leave, they take with them something that cannot be simply replaced by a new hire or a software subscription. They take knowledge.
The scale of the financial risk is difficult to overstate. A joint report published this month by Deloitte and eGain Corporation (NASDAQ: EGAN) estimates the potential economic toll of this knowledge exodus at between $6.9 tillion and $9.6 trillion in lost output. That range is broad, but even the lower end of the estimate represents the kind of number that belongs on a CEO’s agenda, not just in an HR presentation.
So what exactly is “institutional knowledge,” and why is it so hard to replace? The simplest way to think about it is this: it is everything a person knows about their job that was never written down. It is the plant manager who can hear a machine running slightly off before any sensor flags it. It is the account executive who remembers exactly why a major client nearly walked three years ago, and how the relationship was repaired. It is the compliance officer who knows the history behind a regulatory interpretation and can keep the company out of trouble because of it. This kind of knowledge lives in people. When those people retire, it often just disappears.
The scale of that disappearance is already being documented. A 2025 survey by APQC, a well-regarded benchmarking and research organization, polled 1,000 professionals and found that 92% of organizations are failing to consistently capture knowledge from employees who are approaching retirement. Even more striking, 41% rarely or never attempt it at all. The survey, which was sponsored by eGain, framed this not merely as an HR failure but as a strategic and operational gap that leaves companies exposed to revenue loss, compliance breakdowns, and service quality deterioration.
Average job tenure across the U.S. workforce has declined over the past decade, dropping from 4.6 years to 3.9 years according to Bureau of Labor Statistics data. Baby boomers, by contrast, have an average tenure exceeding eight years, meaning the depth of experience they carry is unlike anything that tends to reaccumulate naturally in the current labor market. That gap creates a compounding problem: as experienced workers leave and shorter-tenured employees take their place, organizations lose not just the individuals but the institutional memory they represented.
What makes this moment particularly significant is that awareness of the problem has not translated into action. Research from APQC found that 85% of C-suite leaders view this knowledge exodus as at least a moderate concern, and many regard it as mission-critical. Yet the gap between that concern and what organizations are actually doing about it remains wide. Companies that have made progress tend to share a few traits: they treat knowledge as a strategic asset requiring executive attention rather than delegating it entirely to HR or IT, they implement structured and systematic approaches to capture expertise while employees are still actively working, and they view the transition not purely as a threat to survive but as an opportunity to build more durable organizational capabilities.
This is where AI is entering the conversation, and where vendors are beginning to compete. The argument being made by companies like eGain, whose AI Knowledge Hub platform is designed to unify and govern enterprise knowledge, is that technology can accelerate the capture, organization, and distribution of expertise in ways that manual documentation processes never could. Their platform, for example, allows organizations to convert interviews and recorded discussions with subject matter experts into structured knowledge that can then be accessed by employees across the organization, including people who joined after the original expert retired. In the third quarter of fiscal 2026, eGain reported a meaningful increase in request-for-proposal activity, which the company attributed in part to growing awareness of what its CEO called the “Garbage In Garbage Out” knowledge problem in AI deployments, meaning that AI tools deployed on top of fragmented or poorly maintained knowledge bases tend to amplify existing gaps rather than solve them.
The risk here is not theoretical. Deloitte’s report includes the example of a gas utility where a newly hired contact center agent, just two weeks into the role, handled a call from a customer reporting a potential gas leak. The agent was guided through a step-by-step diagnostic protocol that had been developed by capturing the expertise of retiring field engineers. The agent followed the protocol, assessed the situation correctly, and told the customer to leave their home immediately. Shortly afterward, the home exploded. The institutional knowledge, captured before it walked out the door with retiring engineers and translated into a workflow a novice could follow under pressure, likely saved a life.
The organizations that move decisively now, before retirements accelerate further, will not just reduce operational risk. They will build a knowledge infrastructure that also powers better AI adoption, more consistent customer service, faster onboarding, and stronger competitive differentiation. The retirement wave is not coming. It is already here.
