The KM Renaissance: Why Your AI Strategy is Actually a Knowledge Strategy

We spend so much time debating the future of AI that we are ignoring the professionals who spent the last three decades solving its biggest flaw.

A few weeks ago, I published The Field That Saw This Coming, arguing that in an era where AI makes content generation practically free, human value shifts entirely to curation.

That piece struck a nerve. But the most profound responses didn’t come from AI developers or marketing executives. They came from Knowledge Management (KM) practitioners, the exact people who have been warning us about the dangers of uncurated information for decades.

When you write in public, the best moments happen when the audience pushes your thinking further. This week, I want to step back and highlight three brilliant insights from KM experts who responded to that essay. These aren’t just “best practices”; they are the architectural blueprints required to close the Digestion Gap.

1. Curation is a capability, not a support function

Konye Henderson, Senior Director of AI at Maximus, offered perhaps the sharpest framing of the current AI moment: AI hasn’t created a new problem; it has simply exposed an old one at scale.

Konye’s strategic argument is one every executive needs to hear: KM shifts from a back-office support function to a genuine organizational capability only when curation is explicitly embedded in how work actually gets done. Organizations that treat knowledge curation as an afterthought—assuming the AI will just “figure it out”—will soon feel the difference competitively. Uncurated AI is simply a high-velocity way to produce expensive garbage.

2. KM is a business strategy, not an IT project

Chiedu Ozuzu, with whom I share some great history from our days at ICF, brought incredible practitioner texture to the conversation. He highlighted a historical misstep we are at risk of repeating: for years, KM was siloed as a technical function when it should have always been framed as a business strategy.

His hope for this Generative AI moment is that it finally earns KM the executive attention it deserves. The connection between curated knowledge and actual business outcomes has never been clearer; KM is essentially the “insurance policy” for LLMs. After all, an AI hallucination doesn’t just cost compute time, it costs a company its reputation.

3. Curation must be distributed, not centralized

Finally, Andy Yates my former ThoughtWorks Colleague, brought a vital historical parallel from the social intranet era. He traced why platforms like Yammer and Jive succeeded: they didn’t rely on centralized librarians. Instead, they distributed the curation function to users through tagging and co-curation.

This insight is crucial for the bionic workplace. The volume problem we had then is back, only exponentially larger. Curation cannot be the job of a few dedicated managers; it must be a design decision built into our daily AI workflows. We have to build systems that capture user-promoted content and collective sensemaking as metadata signals, the trail of breadcrumbs humans leave for the AI to follow.

The Integration Imperative

For years, the KM field grappled with how to capture institutional memory, govern content lifecycles, and combat organizational change resistance. They built the frameworks for “Organizational Metabolism” long before we had Large Language Models.

As we navigate this AI transition, we shouldn’t waste time inventing new frameworks for problems that have already been solved. We just need to start listening to the field that saw this coming.

The Thread: This connects to our ongoing exploration of the Digestion Gap. If “Learning to Unlearn” is how we personally decommission obsolete expertise, institutional Knowledge Management is the systemic infrastructure that allows an organization to do the same.

Forward this to: The Knowledge Management, Operations, or IT leaders in your organization who are tired of “tool-first” solutions and are ready to build “knowledge-first” systems. They are about to become your most valuable strategic asset.

A Question for You: What is the one piece of “tribal knowledge” in your company that, if fed into an uncurated LLM, would be completely misunderstood or misused? Hit reply, I read every one.

Madam I’m Adam