{"id":9,"date":"2026-07-30T12:13:50","date_gmt":"2026-07-30T04:13:50","guid":{"rendered":"https:\/\/oribridge.org\/blog\/what-expertise-is-worth-in-ai-age\/"},"modified":"2026-08-24T03:31:04","modified_gmt":"2026-08-23T19:31:04","slug":"what-expertise-is-worth-in-ai-age","status":"publish","type":"post","link":"https:\/\/oribridge.org\/blog\/what-expertise-is-worth-in-ai-age\/","title":{"rendered":"When AI Can Produce Infinite Content, What Is Expertise Worth?"},"content":{"rendered":"

Ask a generative AI system for a ten-step explanation of a topic you know well.<\/p>\n

The first surprise is often how competent it sounds.<\/p>\n

The second is how quickly the explanation appears.<\/p>\n

For experts who built businesses around being the person who could explain something clearly, that changes the economics.<\/p>\n

AI reduces the scarcity of explanation, not the value of every form of expertise. If a course mainly packages public information, the buyer has more alternatives than before. Durable value moves upward: knowing which recommendation does not apply, showing evidence from practice, taking responsibility for boundaries, adapting a method to a new context, and owning the rights required to turn knowledge into a usable product. Strong expert products therefore do not compete with AI on volume. They make decisions easier, failure modes clearer, and implementation more reliable. A useful test is to ask what remains valuable after the explanation itself becomes cheap or free.<\/p>\n

Information has become a weaker moat<\/h2>\n

Epidemic Sound\u2019s 2025 research surveyed 3,000 professional content creators in the UK and US. In that sample, AI use was widespread.<\/p>\n

The report is sponsored by a company that serves creators, and its sample should not be generalized to every expert profession.<\/p>\n

But it makes one business question difficult to avoid:<\/p>\n

If tools can help people brainstorm, summarize, script, transcribe, and generate content faster, what part of the expert product remains scarce?<\/p>\n

\u201cTwenty hours of lessons\u201d is not a strong answer.<\/p>\n

Volume describes inventory. It does not describe value.<\/p>\n

The Expertise Stack<\/h2>\n

Think of an expert product as a stack. Lower layers are easier to reproduce. Upper layers concentrate responsibility and differentiation.<\/p>\n

Layer 1: retrieval<\/h3>\n

Facts. Definitions. Common frameworks. Basic comparisons.<\/p>\n

A competent AI system can often retrieve or synthesize this material quickly.<\/p>\n

That does not make information useless. It makes packaging information by itself a weaker reason to pay.<\/p>\n

Layer 2: judgment<\/h3>\n

Judgment identifies the variable that changes the decision.<\/p>\n

A beginner asks: \u201cWhat is the best practice?\u201d<\/p>\n

A practitioner asks: \u201cUnder what conditions does the best practice fail?\u201d<\/p>\n

Buyers often pay experts not because information is unavailable, but because applying the wrong information is expensive.<\/p>\n

Judgment sounds like:<\/p>\n