If everyone can sound like an expert, what does expertise look like? The Long Before – 004
You read something from someone you don’t know.
It’s good. They understand the problem. The argument is sharp. They sound like they know the field.
A few years ago, that might have told you quite a lot. Today, perhaps it tells you less.
AI can produce a remarkably convincing expression of expertise. It can explain a difficult subject, build an argument, challenge an assumption and write fluently in the language of an industry it has never worked in.
That doesn’t make the result worthless. Some of it may be genuinely useful.
But the value of an answer and its value as evidence about the person giving it are two different things.
And that changes something.
The burden of proof has moved
A thoughtful article still matters. So does a useful newsletter, a strong point of view or a good video.
But the ability to produce those things is no longer particularly strong evidence, on its own, that the person behind them has done the work they are describing.
So when something catches our attention, we look around it.
Who is this person? What have they actually done? What else have they written? Who has worked with them? What do those people say? Is there a body of work behind today’s opinion? Do people I know already know them?
No single answer proves expertise.
Twenty years in business doesn’t. A recommendation doesn’t. A podcast doesn’t. A client logo doesn’t. A large professional network certainly doesn’t.
But when the pieces begin to agree, something else appears.
A pattern.
What the person says fits what they have done. What they have done fits what clients say. Today’s thinking has some history behind it. Other people have experienced the judgment being claimed.
The expertise becomes easier to believe because the evidence around it hangs together.

Same claim. Different trust environment. What surrounds the claim changes what the claim can carry.
That creates a different question for someone who has already done the work
Imagine a founder with 5,000 relevant connections, 300 podcast episodes, years of client work, a newsletter archive and recommendations from people they have helped.
Their problem may not be a lack of evidence.
It may be that somebody encountering them today would never experience those things together.
The recommendations sit on one part of a profile. The show lives somewhere else. The newsletter stopped months ago. Past clients haven’t heard from them in years. Their network has become a connection count.
Then another post gets published.
When expert-sounding content is everywhere, the instinct can be to create more ways to demonstrate authority: more posts, more video, more personality, more visible proof.
But perhaps the better question is:
What have I already earned that somebody evaluating me cannot currently see?
That doesn’t mean turning every relationship, recommendation and piece of work into marketing material.
It means recognizing that these things can give one another context.

An article can lead someone to the work behind it. A recommendation can make the article more believable. A long-running show can reveal that today’s opinion wasn’t invented this morning. A person already in your professional world can carry a kind of credibility that no claim you make about yourself can.
AI can help surface, organize and carry more of that accumulated expertise. But that’s very different from using AI to manufacture the appearance of expertise.
For someone who has already spent years earning the real thing, that distinction matters.
So if everyone can sound like an expert, perhaps the answer isn’t to find a better way to sound like one.
The claim matters less on its own. The pattern around it matters more.
And for many experienced founders, that pattern doesn’t need to be invented. It may already be there.
Before you create another way to prove what you know, look at what is already there. The work, the people, the recommendations, the conversations, the thinking you have accumulated over time. The question may not be what else you need to produce. It may be whether someone who encounters you today can see enough of what you have already earned to believe what you are saying.
And now, here is the long before.
The article appeared today.
The work didn’t. The relationships didn’t. The recommendations didn’t. The judgment behind it may have taken years to earn.

AI can help produce today’s expression of expertise.
What makes it believable may have been accumulating for much longer.
The claim appeared today. The evidence didn’t.
That is the long before.
Participation Poll
What have you experienced?
Issue 004 asks what makes expertise believable when a convincing expression of expertise has become much easier to produce.
The argument is that the claim increasingly sits inside a wider trust environment: previous work, client experience, recommendations, relationships and a body of thinking accumulated over time.
So I would like to compare that argument with your own experience.
Think about the last person you came across online who seemed to really know their field. What did you look at next before you believed they actually did?

Join the conversation and vote in the live LinkedIn poll → https://lnkd.in/p/gAupNaDY






















