Don't Cheer the Headline. Read the Warning.
Most KM practitioners will see this week's Forbes headline as vindication: "Knowledge Management: The Tech World's Step-Child May Be AI's Salvation." ... Finally, we matter!
Read it again.
The article is sharp. Anthony Rhem names many of the right failures — underinvestment in KM, over-reliance on search, ignoring tacit knowledge. The data is damning. 75% of executives admit their AI strategy is "more for show than substance." 40% of AI spend is underperforming. 50% of employees bypassed their AI tools in the past 30 days and worked manually.
Here's the trap many are lured into.
Issue 1: Inverted KM Value
"KM as AI's salvation" puts AI at the center and knowledge in service of it. KM has always been defined by what it serves, not what it is. Search engines. Intranets. Personalization. Each generation promised to solve the messy human work of knowing. KM is frame as something to make those solutions better. Now AI is the easy button to a problem that was never technical. The article's stats don't describe an AI problem. They expose a strategy problem AI made visible.
To read the piece as vindication is to accept the framing — knowledge matters because AI needs it. Derivative. Optional until something breaks. The harder read is that knowledge is a foundational discipline tech has tried to replace for thirty years and failed at. AI isn't elevating KM. AI is the latest tool that reveals whether the foundation exists.
At The Enablry, the way out is a knowledge-led strategy. Not cleanup work for KM to make AI better. A reframe of knowledge as the strategic lens that determines what AI to select, how to configure it, and how to govern it. That's KM as ROI driver. Not KM as AI janitor.
Issue 2: Vindication Without the Job
Given AI is a tech-based solution, it's no surprise organizations search for programmers, not KM practitioners, to do the job. The article is optimistic that KM finally matters. The hiring data tells a different story.
Hire programmers to solve a knowledge problem, you get programmer solutions. Build it in AI. Make a knowledge graph. Spin up a vector database. Stand up a RAG system. The inversion in action. A tech problem demanding a tech solution.
Building a RAG system isn't really knowledge work. It's knowledge work made invisible by tooling.
The headline says knowledge management is AI's salvation. The article's data says something harder. Most organizations don't have a knowledge problem AI can solve. They have an AI problem only knowledge can solve.
Source: Joe McKendrick, Forbes, May 13, 2026. https://www.forbes.com/sites/joemckendrick/2026/05/13/knowledge-management-the-tech-worlds-step-child-may-be-ais-salvation/