Picture this: It’s a regular workday and you walk into your organization’s most experienced department. Maybe it’s engineering, maybe finance, maybe supply chain. People are confident they know exactly how things work. Long-time employees can troubleshoot issues, mentor others, and remember why certain decisions were made decades ago. Afterall, they’re the keepers of your company’s secret sauce.
Now imagine half of them quietly log off for the last time. No grand farewell, no “here’s how I solved that impossible problem in 2007,” no transfer of the lessons learned through decades of trial and error. You and your team are suddenly left with a lot of questions and not nearly enough answers.
Welcome to the Great Retirement: a not-so-hypothetical scenario that’s already happening. According to our recent APQC survey, more than half of frontline workers over 55 plan to retire within five years. That’s 11,000 Americans turning 65 every day. If you’re not worried about losing critical knowledge, maybe you should be (and you’re in good company—85% of C-suite leaders are worried too).
We Know it’s a Crisis: Are We Doing Enough?
While nearly everyone agrees that knowledge loss is a big deal, only 8% of organizations consistently capture departing expertise. Most of us rely on classic methods like mentoring, documentation, or maybe a farewell lunch with a last-minute checklist.
With 51% of the workforce expected to retire or leave in the next five years, leadership is sounding the alarm. But the gap between concern and action is still wide. Why? Lack of time, resources, and organizational priority are at the top of the list. Along with the ever-popular “our culture doesn’t support it”.
Why AI Needs KM’s Wisdom (and Vice Versa)
As organizations struggle to hold onto decades of expertise, it’s tempting to look for a quick fix. Enter AI, the shiny new tool everyone’s talking about. But before we hand over the keys, it’s worth remembering that even the smartest technology needs a foundation of human expertise to build on.
When it comes to preserving institutional wisdom, traditional knowledge management and good old-fashioned knowledge transfer are still the backbone of any successful strategy. Mentoring programs, interviews, lessons learned, and communities of practice are all tried-and-true ways to capture what your experts know before they ride off into the retirement sunset.
But AI can kick-start these efforts. Instead of relying solely on manual processes, organizations can use AI to automate and scale knowledge capture. Imagine AI tools that can document expert conversations, summarize decades of experience into bite-sized assets, and make all that wisdom instantly accessible for the next generation. Suddenly, knowledge transfer isn’t something we do two weeks before someone retires. It’s an intentional and continuous process.
The lesson? Don’t throw away your foundational KM playbook. The most effective organizations blend proven, foundational approaches with AI-enabled tools. People-to-people expertise transfer, lessons learned workshops, documentation, and structured interviews remain essential for capturing the deep, tacit knowledge that makes your experts so valuable. AI simply helps you do it faster, smarter, and at scale. So, before you get started with AI make sure your KM foundation is in place.
How to Turn Crisis into Opportunity
What should a forward-thinking organization do then? Here are some tips straight from the research:
- Develop a knowledge strategy that addresses retirement risk. Collaborate with HR and Learning & Development to proactively identify and close knowledge gaps before they impact operations.
- Integrate AI with careful planning. Ensure strong governance and effective content management are in place to guide AI adoption and maintain the quality and reliability of organizational knowledge.
- Support employees through upskilling and change management. Invest in training and structured change management initiatives to help staff adapt to new technologies and evolving processes.
- Measure the impact of knowledge management initiatives. Track key metrics such as adoption rates, efficiency improvements, and business outcomes to demonstrate value and inform ongoing improvements.
Don’t Wait Until the Last Expert Leaves
The Great Retirement isn’t just a demographic shift, it’s a wake-up call. Every month of delay means more critical knowledge lost forever. But with the right mix of KM practices and AI-powered tools, you can turn this crisis into your organization’s greatest strategic advantage.
So, next time you see your resident expert heading for the exit (or sooner when possible), don’t just throw a party. Capture their wisdom, make it accessible to those who need it, and let AI help you share it with the next generation. Your future self (and your organization’s bottom line) will thank you.