Thought Leadership Without a Concrete Problem Becomes Static Content
A lot of content from leaders creates the impression of expertise. But it is often written too broadly, in overly complex language, and carries no concrete purpose. That is why this kind of B2B content does not help people make decisions.
This problem feels even sharper now because B2B buyers can already get AI summaries of what “everyone who matters” thinks. A general expert opinion is no longer enough. What matters more is showing what that expertise actually means for a buyer’s specific situation.
The main goal of thought leadership, to me, is to help people make decisions by connecting expertise to concrete action. If it only shows that someone operates at a very high level, it stops leading anywhere. What remains is dry professional writing that lacks context and does not address the client’s actual problem.
I have written about this topic from another angle as well. In What Trust in B2B Content Actually Looks Like, I argued that trust in B2B content is tied more to proof and usefulness than to polished tone. As that piece puts it, trust in B2B content “doesn’t look like polished tone or confident messaging. It looks like proof.”
Expertise Through the Problem
Any expert idea becomes useful when it is built through a problem. And that problem has to be detailed and concrete.
What is needed is not a broad topic, but a clear breakdown of the problem. There needs to be diagnosis, a clear view of the current state, criteria for choosing solutions, and scenarios for applying them with the available tools. That is where it stops being an opinion and starts becoming a usable way of working through a situation.
Only after that does a solution emerge. But strong expertise shows not just the solution, but also its limits of applicability. In other words, what was solved, and what was outside the scope of the task. Otherwise, expertise remains just a statement about itself.
This is why it feels so relevant to me: Traditional thought leadership focuses on what you know. Thought diagnosis focuses on how that insight applies to a buyer’s situation. In one case, you are simply presenting an opinion. In the other, you are helping someone relate that opinion to their situation.
What Matters to the Buyer
For the buyer, a strong idea on its own is no longer enough. What matters is whether it connects to their situation and problem. The more precise that connection is, the more useful the idea becomes.
There are already plenty of strong ideas and plenty of professionals. But if they only talk about their expertise, the client still has no way to connect that expertise to their own context.
I have written about this topic from another angle as well. In Why Comments Can Work Better for a Brand Than More Content, I argued that content starts working better when it enters a live context of evaluation, instead of simply increasing in volume. That piece puts it very clearly: a good comment can enter a conversation where attention is already there and where the problem is already being named in the audience’s own language.
Real expert content applies expertise to a specific situation. It includes a detailed problem, the method used to solve it, the outcome, and the limits of that solution.
This is where content becomes genuinely useful expert material, not just an original thought without a way to evaluate the problem or act on it.
Why AI Has Intensified This Problem
AI has made content production easier. You can upload material about yourself, set a tone, and get text that reads as if it were written in your voice.
But that is exactly why the problem of generic expert content has become more visible.
AI accelerates the production of averaged-out expert content. It handles generalizations, works well with metrics and data, and assembles existing formulations. But it still lacks original thought and the ability to form a point of view inside a specific situation.
An expert can think differently depending on the situation. They will not have the same point of view for two different situations. That is exactly where AI struggles. It does not show the originality of expertise in concrete decisions. It doesn't always write badly; it fails to live through the situation of choice itself.
That is why value is shifting away from smooth formulation and toward applied judgment. This matches the argument in Time’s How to Thrive in the AI Era of Work: the most durable skills are not the “what,” but the “why,” meaning the ability to evaluate technology in the context of the job to be done, work backward from client needs, and keep iterating.
I think this is an excellent piece of advice from the article Has AI Ended Thought Leadership?: “Stop asking ‘What’s your perspective on X?’ and start asking ‘What have you built around X, and what happened?’” That shift matters because expertise becomes a concrete channel for attracting clients. It stops being abstract opinion and starts working as visible proof of judgment, action, and real outcomes.
Content Built for Use
In SGE and AI Overviews: How to Create Content Google Trusts to Cite, I looked at what kind of text can actually be read and cited by systems built around extraction and summarization. The key logic there is structure for clarity, short paragraphs, answers placed early in the section, and formulations that can be extracted without losing meaning.
And all of these texts point to the same thing in the end. Content becomes stronger when it is built for use, not for display.
That is why, for me, thought leadership should not simply be a space where an expert shows how smart, experienced, or well-read they are. It should be a form of applied expertise, where a strong idea is connected to a real problem and to a real situation of choice.
Where the Line Is
Superficial content creates the impression of expertise. But that is not enough.
Real expert content shows how that expertise works in a concrete situation. It helps a person evaluate their problem, see a possible solution path, and understand where that expertise is actually applicable.
That is where the line is, for me, between opinion and applied expertise.
Thought leadership should not just make an impression. It should help people evaluate a problem and make a decision. Otherwise, it is not a real tool.
