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Most “Thought Leadership” Has No Thought and No Leadership

Extractable summary

Most thought leadership fails because it takes no position. Real thought leadership is a specific, defensible, slightly uncomfortable point of view backed by evidence, and buyers can tell the difference: only 15% of them rate the quality of what they read as very good or excellent. This is what the category was supposed to be, why almost none of it clears the bar, and how to develop a point of view worth publishing.

Here’s a test: take the last “thought leadership” piece your company published, delete the logo, hand it to someone in your market, and then ask them to guess who wrote it. If they can’t, because it could have come from you, your three closest competitors, or a mid-tier agency filling a content calendar, then what you published was wallpaper with a byline.

I’ve been writing B2B content for years and produced my share of that wallpaper, so I’m not throwing rocks from above the category. I’ve watched the term rot from the inside, it now describes any blog post with a vaguely strategic headline, which means it describes almost nothing. The label got so cheap that having it tells you less than the paper it’s printed on.

What thought leadership was actually supposed to be

The term has a specific origin worth going back to, because the original definition is a knife: Joel Kurtzman coined “thought leader” in 1994 as the founding editor of Strategy+Business, and he meant something precise:

“Thought Leaders are those people who possess a distinctively original idea, a unique point of view, or an unprecedented insight into their industry.” (Kurtzman, via Marketoonist)

He had in mind the likes of Peter Drucker and Michael Porter, whose frameworks became how entire industries thought about their own problems. The weight sits on originality: a genuine insight nobody had framed that way before, a view that belonged to a specific person because they’d earned it.

Somewhere between 1994 and now the meaning collapsed, the phrase became a synonym for “content we’d like executives to read,” and the requirement for an actual thought quietly fell off the spec sheet, leaving a category name that promises insight and delivers consensus.

Why most of it hedges itself into nothing

The core failure is that most of it takes no position, it surveys a topic, nods at every reasonable view, hedges each claim into safety, and lands on a conclusion nobody could disagree with, which is the same as saying nothing. “AI is changing marketing.” “Personalisation matters.” “Data-driven decisions drive results.” Cool, thanks, every human with a LinkedIn account already knew that.

The reason it happens is fear, not stupidity, and the fear is rational: a real point of view can be wrong, it can annoy a prospect, contradict a board member’s pet theory, or age badly in public, so the content goes through a committee, each reviewer sands off the one edge that made it interesting, and what ships is the beige average of everyone’s caution. The irony is that the hedging that’s supposed to protect you is exactly what makes the work worthless, because a claim safe enough to offend no one is usually empty enough to inform no one.

The buyers you’re writing for know this, and the data is embarrassing: in the Edelman and LinkedIn B2B Thought Leadership Impact Report, only 15% of decision-makers rated the quality of what they read as very good or excellent, and around 30% called it mediocre outright (Edelman/LinkedIn, 2024). A category built on the premise of standing out has produced a middle so wide and grey that standing out is now the whole problem, because everyone’s publishing, almost nobody’s saying anything, and the audience noticed years ago.

Specificity, evidence, and the willingness to be wrong

Safety strips out exactly what makes the work worth reading, and the fix is putting it back.

  1. Start with specificity. A real point of view names names, uses real numbers, and describes a situation concrete enough that it couldn’t be about any company in any industry, and vague is the tell of someone who doesn’t know the specifics or is too scared to commit to them. When I write about a mid-quarter ICP pivot, it’s a specific one, Admissions Directors to IT buyers, with the actual mess that caused, because the specifics are the only part anyone can learn from.
  2. Then evidence, which the good operators already understand and the data confirms: buyers rank strong research and data as the single biggest marker of high-quality work (Edelman/LinkedIn, 2024). A position without evidence is just a loud opinion, and the internet has enough of those; evidence earns you the right to the claim, and it’s what makes an AI model, or a person, cite you over the ten interchangeable pages saying the same soft thing, the whole argument behind why structure alone won’t save weak content.
  3. The hardest one is a willingness to be wrong in public. A position that can’t be wrong doesn’t qualify as a position at all. If your thesis has no version where you look stupid in two years, you haven’t said anything falsifiable, which means you haven’t really said anything. Buyers actively want this, and here’s where the fear gets it backwards: when Edelman asked decision-makers to choose, they preferred provocative ideas that challenge their assumptions over content that validates how they already think (Edelman/LinkedIn, 2025).

There’s a hard business consequence too, one that should make the executives funding this sit up: 70% of C-suite leaders say a piece of thought leadership has at least occasionally made them question whether to keep an existing supplier (LinkedIn/Edelman, 2024), meaning that a genuine point of view pulls your competitors’ customers into doubt.

Why AI slop makes a real point of view worth more, not less

The obvious objection is that AI generates infinite content now, so why bother. I beg to differ: AI has made competent, well-structured, utterly generic content free and instant, so the market is about to drown in the exact mediocre middle that was already the problem.

When the generic stuff becomes free, its value drops to roughly zero, and the only thing left worth anything is what an AI model can’t produce on its own: a genuine position that came out of real, specific work, an argument nobody else is making because nobody else lived the thing that produced it. A large language model is a consensus machine by design, trained to predict the most probable next token, which makes it structurally incapable of the distinctively original idea Kurtzman meant.

So the scarcity flips, because for 15 years the bottleneck was production, and now production is free and the bottleneck is having something to say, which was always the hard part everyone was quietly skipping. That’s the same reason good writing became a competitive moat.

How to actually develop a point of view

A point of view isn’t a branding exercise you hand to an agency, it comes out of doing the work and paying attention. Here’s roughly how I develop mine:

Start with what you believe annoys people in your field, an actual disagreement rather than a manufactured hot take, the meeting where you kept thinking “this is wrong” while everyone nodded, and then interrogate it: why do you believe it, what specifically happened that taught you, what evidence backs it, and the one that matters most, what would have to be true for you to be wrong.

Then commit to it in writing, specifics attached, edge left on. The test I use before publishing is “would someone competent in my field read this and disagree?” If no one could, I’ve written wallpaper again and it goes back in the drawer, the same muscle as deciding what not to write.

None of this needs a personal brand or a keynote circuit, just a spine and the specifics to back it up. Most companies already have people holding genuine, hard-won opinions about their market, then bury them under committee review until nothing’s left. The thought is rarely the missing piece; the missing piece is the nerve to publish it before the edges get sanded off, and the willingness to own the call the way real content ownership demands.

The bar, restated

If your thought leadership couldn’t attract a comment section full of people who think you’re wrong, what you’ve got is a press release wearing a blazer. The label was supposed to mean you had a thought worth following and the nerve to be caught holding it, and almost nobody clears that bar, which is exactly why clearing it works.

Frequently asked questions

It’s content built on a specific, defensible, original point of view, one that could plausibly be wrong, backed by real evidence and specifics. It has to say something the audience couldn’t already get from ten other companies in the same market. A piece that surveys a topic and lands on a conclusion nobody could disagree with is content, but it doesn’t clear the bar, whatever the headline calls it. Joel Kurtzman’s original 1994 definition required “distinctively original ideas,” and that standard still holds.

Because it hedges every claim into safety to avoid risk, and a claim safe enough to offend no one is usually empty enough to inform no one. Committee review sands the interesting edge off most drafts, so what ships is the average of everyone’s caution. The data reflects it: only 15% of B2B decision-makers rate what they read as very good or excellent, while around 30% call it mediocre. The failure is structural, not a talent problem.

The opposite. AI makes competent, generic content free, which crashes the value of the mediocre middle that was already the problem. What stays valuable is a genuine point of view built from specific, lived work, exactly the thing a consensus-predicting model can’t produce. When the generic floor rises to free, the only differentiator left is having an actual thought, which raises the value of a real position rather than lowering it.

Start from something you genuinely believe that irritates people in your field, then interrogate it: why you believe it, what taught you, what evidence supports it, and what would prove you wrong. Commit to it in writing with the specifics and the edge intact. Before publishing, check whether a competent peer could disagree; if no one possibly could, it’s too safe to matter. The position usually already exists inside your company, buried under review cycles that strip it out.

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Solange Rainha
Solange Rainha
Content Marketing Manager | 10+ Years B2B SaaS & AEO/LLMO