The OG Revenue Model that Fuels Solopreneur Success Going Forward
Motivated buyers with budgets don't want to learn how to do it, they want it done.
Back in 2005, I made a drastic decision after a near-death experience.
After spending the previous four years building an innovative real estate business fueled entirely by digital marketing and processes, I walked away.
This was the business that generated more personal income for me than if I had made partner at the big law firm I left in 1998. And I simply stopped doing it.
I tried to work out a sale of the business. It didn’t work because it was so dependent on me that there was nothing there without me.
That was the crux of the problem.
I was the marketing engine behind the business, and no one else understood how it worked. I was also the entire management layer, who still worked personally with investment-level clients. But I had no transferable systems for any of it.
And then I shifted to a model that better suited my talents and temperament. The fairy tale ending followed: I made substantially more money every year, sold the business and made substantially more than that, and received recognition as a pioneer in digital business and marketing.
Emergency brain surgery led me to quickly realize that the real estate business was only designed to prove I could make a lot of money at something other than the practice of law. I didn’t love the work by any means, and I decided that life was too short to do things solely for money.
So I became properly aligned and profited highly from it, which I think is no coincidence. But I wrongly blamed client services as the source of my previous discontent.
Even though I went on to build three seven-figure businesses and one eight-figure firm without doing client work at all, I had simply moved into a smarter model where others handled the systems while I handled marketing and drove product development. And at the time, selling software was highly lucrative.
In the last few years, I’ve been back to working with clients in a coaching capacity. It’s been deeply satisfying because I can now have a real impact on the desired outcome when I get personally involved, as opposed to only teaching (which I enjoy for other reasons).
And now I have technology that functions the same way my human collaborators did in the previous businesses. It allows me to do what I’m good at, and handles what I struggle with.
In short, if I were brand new to the game in 2026, I’d still start off with client services. And this is what most people do, for very good reasons.
But now, with the right application of automation and artificial intelligence, you don’t need to shift into products in order to efficiently manage the business as a solo and profitably scale.
More importantly, outcome-based services may be the only highly profitable revenue model that remains viable going forward. Let’s dig into my reasoning on that.
The Sure-Fire Path to 7-Figure Small
For years, the standard path for expertise-based businesses followed a logical progression:
Start with client services (validate demand, generate revenue).
Hit a time ceiling (you can only serve so many clients).
Create information products such as courses to scale (trade margin for volume, leverage your time)
This worked, and it made sense. Your time was the limiting factor, so you had to choose: Stay small with high-touch services, or scale with lower-touch information products.
In fact, my Personal Enterprise strategy recognizes client work as the smart starting point, while laying out a path to productize sooner rather than later. Diversification of revenue streams is the justification, but under the surface is the reality that solo services simply don’t scale.
That once-enduring truth has begun to disappear over the last decade. You don’t hit the time ceiling with services as quickly, thanks to automation. And now with AI, perhaps not at all on the way to 7-figure revenue.
Here’s the thing. The trend toward powerful solo and very small client service businesses started before AI went mainstream a few years ago. Which means we’re now at the cusp of something truly revolutionary as AI adoption skyrockets among savvy solopreneurs.
According to 2022 U.S. Census Bureau data, client services dominate the million-dollar, no-employee business category. The data reflects 16,279 one-person client services businesses earning $1-2.49 million annually. Another 2,465 hit $2.5-4.9 million.
Not info products. Not courses. Not software. Client services.
And that data comes from before AI made service delivery three to five times more efficient, and opened the door to developing entirely new revenue models built on delivering desired outcomes.
Sequoia Capital, the VC firm behind Apple, Google, and Airbnb, recently published an analysis explaining why they’re betting on services over software in many markets. Its key insight:
Services deliver actual outcomes. The client doesn’t have to implement — they get the result they paid for.
They call it “services as software,” a complete inversion of the software-as-services model that has dominated both the VC and bootstrapped entrepreneurial landscape for 20 years. And it may coincide with altered demand for courses and other information products as well.
Think about the difference:
Software/Course approach:
Gives the customer the tool or information, but
The customer still has to figure out how to use it;
The customer is responsible for the implementation; and
The customer owns the outcome risk.
Client services approach:
The provider delivers the completed outcome;
The client gets the result without the implementation burden;
The provider is accountable for success; and
The risk transfers to the expert.
This distinction has always mattered. But now, AI is:
Providing knowledge for essentially free, and
Eliminating the reason people get burned out and frustrated by a client services model.
Here’s what used to be true: A client engagement required 40 hours of your time. You could serve maybe four or five clients per month at full capacity. To make more money, you had to either raise prices (often uncomfortable) or create digital products (a different business entirely).
Here’s what’s true now: AI handles 80% of the execution work. You provide 8-10 hours of strategic judgment and oversight. You can serve 12-15 clients in the same timeframe.
Traditional model:
40 hours per client project
Maximum four clients monthly
Revenue ceiling: 4 × $10,000 = $40,000/month
AI-augmented model:
10 hours of your judgment per project
AI handles the other 30 hours of execution
New capacity: 12 clients monthly
Revenue potential: 12 × $10,000 = $120,000/month
Same hours worked, 3x the revenue
Sequoia funneling VC money into service businesses was unheard of in years past. But the bigger shift involves individuals building next-generation outcome models without outside capital at all.
Why “Done For You” Sells Better Than “Learn How To”
There’s another reason to start with client services. They’re easier to sell than products, especially information products, which require much more savvy “selling” than most people realize.
When you’re selling a product such as a course, for example, you’re asking people to:
Invest time they don’t have
Learn skills they know they need but may not necessarily want
Implement on their own
Take responsibility for the results
When you’re selling a service, the value proposition is simple:
You have a problem
I deliver the solution
You get the outcome
I’m accountable if it doesn’t work
Motivated buyers with budgets prefer “done for you” over “teach me how to.” They don’t want to become experts themselves; they just want the problem solved. And they’re willing to pay high-ticket prices for it.
If you’re 50+ with decades of experience, you’re not really selling information anyway. You’re selling judgment, lived pattern recognition, and strategic expertise applied to a specific situation.
That’s client services in a nutshell. And AI just made them highly scalable.
Here’s the breakthrough… You now have the efficiency of software combined with the judgment and experience of a seasoned human in one tiny yet powerful firm.
What AI handles:
Research and data gathering
Initial drafting and formatting
Revisions based on your direction
Project management and logistics
Client communication scheduling
Everything that’s execution, not judgment
What you provide:
Strategic direction (what approach will actually work here)
Expertise from pattern recognition (I’ve seen this 100 times)
Quality control and taste (good vs. generic)
Nuanced judgment (what the client actually needs vs. what they’re asking for)
Accountability for the outcome
The result: Clients get expert-level “done for you” outcomes. You work a fraction of traditional consulting hours. The math finally works at scale.
And when you factor in the difference in price points, the relative ease and higher likelihood of success by selling services becomes crystal clear:
Instead of: “How to Do Strategic Planning” course ($297) Offer: Strategic planning service with deliverable plan ($8,000-15,000)
Instead of: “Marketing Masterclass” membership ($97/month) Offer: Complete marketing strategy with implementation roadmap ($10,000)
Instead of: “Business Development Program” group coaching ($497) Offer: Business development consulting with accountability ($5,000/month)
The best clients don’t want to learn how to do it, they want it done. And they want it done by someone who’s done it before, and who provides accountability for the outcome.
That’s you. And now you can deliver it profitably at scale.
Are Information Products Dead?
No, I don’t think so.
But there are things you have to realize about the past, current, and future context of selling courses, paid newsletters (more appropriately called a membership model), and other digital information products.
First, just about anyone you can think of with a course or membership model started out with client services. Beyond the fact that it’s easier to do at the beginning, working with clients is also where the content and the credibility for the paid education come from.
Second, what you don’t see in many course businesses is the hidden service component that’s the actual profit center. You only get the call-to-action for expensive one-on-one services once you’ve progressed far enough up the typical offer ladder of either loss-leader or break-even information products. This is where many a “guru” makes their real money, all while preaching about “passive” income.
Third, as the proliferation of artificial intelligence continues into the mainstream, there’s no doubt that what people will spend their money on when it comes to learning and knowledge acquisition will change, and perhaps drastically slow. Keep in mind that even today, only a relatively tiny fraction of people make a living from courses, paid newsletters, and digital information products, compared to the number of people trying.
With those three points in mind, here’s the winning go-forward path that combines the best of the past with the unavoidable promise of the future:
Start with client services:
Fastest validation of what people will actually pay for
Highest revenue per customer
Easiest to sell (outcome = clear value)
Learn what people actually need (not what you think they need)
Stay with client services:
AI makes them scalable without hiring
Higher margins with fewer sales than courses
Better client outcomes (done for you > learn how to)
Can build $200K-$1M+ business with services alone
Add courses and memberships strategically:
If you want to serve lower-budget segments
If you want a solid client-qualification mechanism
If you want additional revenue streams
If you enjoy teaching
Client services can easily be your entire business now if your client acquisition game is dialed in. Before the AI execution layer became a viable reality, freelancers and consultants who built audience-first service models often had to turn prospective clients away and raise prices, or hire and manage people to scale.
But now? Let’s talk realistic numbers.
Conservative client services model:
3 ongoing clients at $5,000/month = $180,000 annually
25-30 hours/week of your strategic time
AI handles execution ($20-100/month in subscriptions)
Minimal overhead, no employees, location-independent
That’s more income than most corporate jobs, with complete control over your time and location. Plus, there’s no low ceiling that requires you to pivot to a different business model if you want to make more. That’s demonstrated by a more aggressive approach.
Aggressive client services model:
8-10 clients at $5,000-10,000/month = $480,000-$1,200,000 annually
35-40 hours/week (same as corporate demanded)
AI handles 80% of execution work
Still no employees, still location-independent
These aren’t edge cases. The Census data shows 16,279 client-serving, non-employee businesses generating $1M-2.49Min annual revenue, and that’s before AI made client services even more scalable.
The 7-figure Small movement is just getting started.
What’s Next
The bottom line: Services are more valuable than software and information products in markets where outcomes matter. And those are the most valuable markets to pursue.
Solo and very small non-employee client services businesses were already hitting $1M+ at record rates, thanks to the reach of the internet and the efficiency of automation. Now AI has supercharged it: You can deliver expert services at scale without hiring anyone.
Client services are always the smart place to start when you’re transitioning from employment to your own thing. Now, it’s even more indisputable, and it may be the only revenue source you need.
Meanwhile, corporations are cutting costs. They’re using their own investment in AI to eliminate expensive employees like you. But you can use the same user-friendly technology to build something better of your own.
Start with client services. Let AI handle execution while you provide what people are really paying for. Deliver valuable outcomes at scale, and charge value-based prices.
And there’s another strategic advantage to starting with client services that most people miss.
This one determines how fast you can actually build your business and to what level of revenue you can eventually reach.
We’ll explore that next week.