Knowledge management is the practice of collecting, organising, sharing, and using what an organisation knows — from documents, research, and processes to the everyday expertise people build through their work — so better decisions get made and hard-won knowledge isn't lost. It's a discipline turning forty, and in the AI age it is fast becoming a life-or-death decision: the right moment to act is now.
The average knowledge worker spends searching for and gathering information — roughly a fifth of the working week (IDC puts retrieval as high as 2.5 hours).
McKinsey Global Institute · IDC
Lost by a typical large enterprise to inefficient knowledge sharing and re-creating work that already exists.
Panopto Workplace Knowledge & Productivity Report
Of institutional knowledge is unique to one person and never shared with the rest of the team.
Panopto
Projected growth of the knowledge-management software market from 2026 to 2034 — about an 18% compound annual rate.
Fortune Business Insights
Although people have stored and shared knowledge for centuries, knowledge management became a recognised business discipline in the late 1980s and early 1990s — a story often traced to Karl Wiig's introduction of the term in 1986. That makes 2026 its 40th anniversary. For forty years the field has helped organisations capture and reuse what they know; the question now is what its next chapter looks like.
The world produces enormous amounts of information every day — but information is not the same as knowledge. Without the right structure, it scatters across emails, documents, chats, databases, and individual minds, making it hard to find answers, learn from past work, or make confident decisions. Good knowledge management turns that flood of information into knowledge people can actually find and use.
The price of poor knowledge management is no longer soft. Knowledge workers lose close to a fifth of the week just searching for information; large enterprises lose tens of millions a year re-creating work that already exists; and when much of what a team knows lives in one person's head, every departure is a quiet loss. The numbers above put a figure on a problem most organisations feel but rarely measure.
Artificial intelligence is reshaping the field. Instead of only storing information, AI can help understand context, find connections, summarise complex material, and guide people toward better decisions — which is why it is widely seen as the next major step for knowledge management. The discipline that turned forty is entering its most significant change yet.
AI is also accelerating how fast knowledge is acquired — which means a competitor can catch up overnight, and hard-won knowledge can lose its edge just as fast. The only answer is to form, organise and use new knowledge just as quickly, while protecting what's yours. That is why, forty years into the discipline, knowledge management has quietly become a life-or-death decision — and why now is the time to put it into practice.
“Knowledge has value when it guides good decisions.”
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