AI is changing the game. But not in the way many Knowledge Managers think.

In many conversations, I hear two dominant directions for KM in the AI era:
❌ Becoming intermediaries in building RAG solutions
❌ Acting as content curators for AI systems

These are important activities.
But they are not where our real value lies.
They can be done by others.

So where is our true role?
From the webinar yesterday hosted by Rudolf DSouza and me, a different picture emerged:
🔹 Knowledge Managers, as those who surface and structure what AI cannot see.
The most critical knowledge is still undocumented – experience, judgment, tacit expertise. Without making it visible, AI operates on a partial reality.

🔹 Knowledge Managers as connectors between technology and real business needs.
Not starting from the tool – but from the pain. Not “what can AI do?” – but “what must the business improve?”

🔹 Knowledge Managers, as those who embed context.
AI can generalize. Organizations operate in specific cultures, constraints, and ways of making decisions. Without context – even correct answers can fail.

🔹 Knowledge Managers as guides for working with knowledge, not just managing it
Helping units:
> leverage global knowledge
> utilize their own internal knowledge
and systematically create more new knowledge as part of their work
And in doing so – redefine their value based on knowledge.

🎥 Watch the full discussion: https://lnkd.in/dfBrHqJH
📚 Join our upcoming course: GenAI in Action – The Hands-On Advanced Course for Knowledge Managers: https://lnkd.in/dcuiy5fA
⚽ We are also exploring a different way to drive adoption –a gamified AI implementation journey (football-themed).
Happy to share more – Rudolf and I are available.

AI will not automatically make Knowledge Management more strategic.
But if we step into this role, it just might.