I spent six months and a quarter million dollars chasing the wrong people.
I had built an algorithm—nothing fancy, just a Python backend scraping content for buyer intent signals. Likes, comments, reposts. The usual vanity metrics, plus some deeper stuff about who was actually purchasing from these creators.
My hypothesis was simple: find the creators with the biggest distribution, help them productize their expertise, and print money together.
The first three partnerships looked perfect on paper. We're talking 500K+ followers. Brand deals with Fortune 500s. The kind of internet-famous that makes 22-year-olds worship you.
And every single one of them was a disaster.
Not because they were bad people. They were brilliant, talented, and genuinely great at what they do. But after months of trying to extract original IP from them, I had an uncomfortable realization:
Most thought leaders are just modern-day news anchors.
They're remarkably good at synthesizing what's happening. Curating the best ideas. Packaging other people's insights in entertaining ways. But when I'd sit down and ask, "What's YOUR framework? What's the thing only YOU know?"—crickets.
Here's the thing nobody talks about: having a massive audience and having original ideas are two completely different skills. And the creator economy has confused the hell out of both.
The $250 Billion Misunderstanding
The creator economy hit $250 billion in 2024. Goldman Sachs says it'll double to $480 billion by 2027. That's a lot of money chasing a lot of creators.
But here's what the market reports don't tell you: most of that value is concentrated in attention, not intelligence. Brand deals. Sponsorships. Affiliate links. It's the economics of eyeballs, not ideas.
Meanwhile, the people with genuinely original thinking—the professors, the consultants, the operators who've built and broken things—are sitting on goldmines they don't know how to monetize.
I call these people thought owners.
A thought leader tells you what's happening. A thought owner tells you WHY it's happening—because they've developed their own framework through years of hard-won experience.
Dan Martell didn't just read about buying back your time. He built companies, nearly destroyed himself, and forged a system through his own suffering.
Alex Hormozi doesn't regurgitate marketing tactics. He built a $100M acquisition machine and reverse-engineered the playbook.
The difference isn't followers. It's intellectual property that actually belongs to them.
Why This Matters More Now Than Ever
Here's where it gets interesting—and urgent.
Harvard Business School researchers found that AI creates what they call a "jagged technological frontier." Some knowledge work is instantly commoditized by AI. Other work—seemingly similar in complexity—remains outside AI's capability.
Guess which category "regurgitating other people's insights" falls into?
Microsoft's WorkLab just published research showing that LLMs are becoming commoditized. Their conclusion? "The models themselves will become table stakes—a basic infrastructure instead of a true source of competitive advantage."
In plain English: when everybody can hit the same LLM and get the same answer, the only differentiation is your original thinking.
A Harvard Business School analysis found that generative AI is lowering the cost of expertise. Knowledge that took years to acquire can now be accessed by anyone with a ChatGPT subscription. If expertise becomes cheap and ubiquitous, it's no longer a differentiator—it becomes a commodity.
This is an extinction-level event for news-anchor creators. And a massive opportunity for thought owners.
The Matthew Dicks Moment
Let me tell you how I found my model.
I'm listening to Lenny's podcast, and this guy Matthew Dicks is on talking about storytelling. I'd read his book years ago. Good stuff. But hearing him talk, I'm like—this guy has something real. An actual system. Decades of teaching. Original IP.
So I go to his website, scroll to the bottom, and see an 860 area code.
That's my area code.
Turns out the guy lives 40 minutes from me in Connecticut. I cold-email him: "Let's get lunch. I own a campus called District with a barbecue restaurant. You like barbecue?"
He goes, "I did an event at District once."
I said, "When? We do 100 events a year. I own the place."
Silence.
So we meet. We become friends. And I realize: Matt has this unbelievable gift—he can teach anyone to tell better stories—but he's charging $1,500 an hour for coaching. That model doesn't scale. He can't help everyone he wants to help.
So we started building AI-powered tools that capture his methodology. Not generic ChatGPT prompts—enterprise-grade systems fine-tuned on his actual frameworks.
I showed him some stories it generated. He said, "These are amazing."
He can't tell them from his own.
Now we're licensing that intelligence to major companies. Taking Matt's 20+ years of thought ownership and turning it into products that scale infinitely.
That's commercializing intelligence.
The Three-Part Formula
After doing this a dozen times—with authors, scientists, consultants, operators—I've found a pattern.
Part 1: The Thought Owner
You need someone with genuine original IP. Not curated insights. Not "my take on someone else's framework." Their own system, forged through experience.
The test is simple: Can you explain what makes their thinking different from everyone else in their category? If you can't articulate it in two sentences, they're probably a thought leader, not a thought owner.
Part 2: The Intelligence Product
Every thought owner has a "compressed genius" problem. They know things that took years to learn, but they can only transfer that knowledge through time-intensive methods: coaching, consulting, speaking.
The opportunity is building products that capture and scale that intelligence. Apps. Tools. AI companions. Things that let them help 10,000 people instead of 10.
I worked with the former Chief Strategy Officer of TBWA—one of the biggest ad agencies in the world. He had these incredible thinking frameworks he'd developed over decades. We built a tool called Reframer that packages those frameworks into an AI-powered product.
A dev shop quoted me $50K and six weeks. We built it in seven days for under $10K.
Part 3: The Distribution Layer
Here's where the cohort people come in. Live experiences. Masterminds. Communities. The human connection that makes people actually implement what they learn.
Distribution is the cheat code. But defensible IP is the moat.
The winning formula is: Cohort/Mastermind + Companion Product. The live experience creates connection and accountability. The product scales the intelligence infinitely.
The Uncomfortable Math
Let me give you the numbers that keep me up at night.
84% of creators are already using AI tools for content creation. The cost of running prompts through top-tier LLMs dropped 200x in the past year.
That means every news-anchor creator—every person whose value is "I synthesize information well"—is about to compete against free.
Meanwhile, individual creators account for 58.7% of the creator economy market. Most of them are dramatically under-monetized.
I met someone at a conference with 300,000 email subscribers running a pay-what-you-want model for $10-20/month. That's maybe $50K/year on an audience that could easily support a seven-figure business.
The gap isn't distribution. It's productized intelligence.
What Changes
The future of the creator economy isn't more courses. It's not more coaching. It's not more content.
It's helping thought owners commercialize their intelligence at scale.
That means:
- Identifying people with genuine original IP (not just big audiences)
- Building products that capture their unique frameworks
- Creating distribution mechanisms that don't require them to trade time for money
- Licensing that intelligence to enterprises who need it
When someone tells me they want to be a "thought leader," I ask them: What do you own?
Not what have you learned. Not what have you synthesized. What framework, system, or insight exists in your head that doesn't exist anywhere else?
If you can't answer that, you're a news anchor. And AI is coming for your job.
But if you can? If you've spent years developing a unique way of seeing the world?
You're sitting on an asset most people don't even know they have. And the technology finally exists to turn that asset into something that scales.
I'm not interested in helping people become influencers. I'm interested in helping people who've earned their insights turn those insights into generational wealth.
The thought leaders had their moment.
The thought owners are next.
