AI has exposed the biggest knowledge gap in business. Hint: it isn't technical

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August 27, 2026, 10:58 AM

• •The article says companies are expected to spend about $2.5 trillion on AI this year, with more than $1 trillion going to IT services and software.
• •It uses Ford as an example, saying the company brought back 350 veteran engineers after AI and automated systems failed to catch manufacturing problems.
• •It cites Ramp and Revelio Labs research covering nearly 22,000 US companies that found heavier AI investors are hiring more people, not fewer.
• •The author argues businesses need a skills ontology to map internal capabilities, identify subject matter experts, and spot skill gaps.
• •The piece says AI can organize and distribute knowledge but cannot provide the judgment and contextual understanding that come from experience.

The article argues that companies investing heavily in AI are discovering that experienced employees remain essential to making those systems work well. It cites Ford rehiring veteran engineers after AI and automation missed manufacturing issues, along with research showing AI-focused firms are hiring more people rather than fewer. The author says the real business gap is not technical infrastructure but knowing where expertise exists inside an organization and capturing it through tools such as skills ontologies. AI can help organize and spread knowledge, the piece says, but it cannot replace the judgment, context, and practical experience of subject matter experts.

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