What It Takes to Win
In the Age of AI
For more than a decade, nearly every seed investor I ever pitched, sat next to, or invested alongside asked the same question.
“Couldn’t Google build this?”
“What stops Microsoft from launching their own version?”
“What if Salesforce decides this is interesting?”
I heard it pitching ContentCal. I’ve heard it on dozens of boards. I’ve asked it myself, looking at hundreds of decks across 60+ investments. It became the default test of defensibility. If a big tech company could replicate your idea, the thinking went, you didn’t have a real moat.
The honest answer was always: yes, they could.
But they didn’t.
Because the cost of building software was high enough that focus mattered. Big companies had to choose. Engineers were expensive. Product cycles were eighteen months long. Every project competed for resource against ten others. The moat wasn’t that your idea was uncopyable. The moat was that copying it wasn’t worth the effort. You could hide in the corners of a market the giants didn’t think were interesting enough yet.
That world is gone.
The question now isn’t “couldn’t Google build this.”
It’s “couldn’t anyone build this with AI?”
And the answer is yes. In a day. Sometimes in an afternoon. With a credit card, a few API keys, and a competent operator who knows how to prompt.
This is the shift most founders haven’t fully internalised. Your competition isn’t Google. It isn’t Microsoft. It isn’t any of the incumbents you used to worry about beating you to your idea.
Your competition is the fact that almost anyone, with a bit of effort, can spin up a technology idea in a day.
That changes everything about what it takes to win.
The collapse of the build moat
For twenty years, software defensibility was framed around the product. The features. The technical complexity. The engineering team you’d hired. Founders pitched moats made of code. Investors evaluated startups on technical depth. The conversation was always about what you’d built and how hard it would be to replicate.
I never bought it.
Software has always been a commodity to me. If you have enough money, you can pay anyone to build anything. The product was rarely the moat.
The moat was everything around the product, distribution, brand, trust, network effects, switching costs, customer relationships, the speed at which you learned.
But you could fake it for a while. You could pitch your engineering team as defensibility and most investors would nod. You could talk about your tech stack as a barrier to entry and most boards would buy it. The illusion held because the cost of building was high enough that the illusion looked real.
AI just made the truth obvious.
Today, a competent operator can spin up an MVP in days that would have taken a team of five engineers six months in 2021. The cost of building has collapsed. Which means the cost of competing has collapsed. Which means the things that were always the actual moat and were always undervalued are now the only things left.
For founders who understood this all along, it’s a clarifying moment.
For founders who built their entire identity around technical complexity, it’s existential.
The build moat is dead. What replaces it isn’t one thing. It’s a stack of things that, taken together, are harder to replicate than any codebase ever was.
What actually matters now
I’ve been thinking about this for the last year, watching my portfolio companies adapt, building JAAQ as CEO, pre-launching AcademyAI, and observing which founders are pulling ahead and which are falling behind. The patterns are clear.
This isn’t an exhaustive list. It’s where I’d start if I were building today.
1. The market still comes first
You want a market with explosive growth and tailwinds. Not headwinds.
This sounds obvious. It isn’t. Most founders fall in love with a product idea before testing whether the market actually wants it. They spend three years pushing a boulder uphill in a flat or shrinking market, mistaking effort for progress.
In the age of AI, market choice matters more than ever. Because if your market is flat, ten other people with AI tools will commoditise your product before you’ve found product-market fit. The wave you’re riding has to be big enough that you can’t get caught on the wrong side of it.
The best founders I know spend more time choosing the market than building the product. They study the structural shifts. They look for industries where demand is outpacing supply. They watch where capital is flowing and where regulation is changing. They place themselves in front of forces bigger than themselves.
Pick the wave. Then build the boat.
2. A small, talented, driven team
The romance of the 200-person Series B team is over.
The companies winning right now are small. Outrageously talented. And, this is the part most founders skip, insanely driven. People who actually want to work hard. Not because they have to. Because they want to.
I’m not talking about hustle culture. I’m not talking about 80-hour weeks for the sake of it. I’m talking about people who genuinely want to build something rather than just collect equity. People who care about the outcome more than the optics.
A small team of seven people who give a damn will outrun a team of fifty who are mostly there for the brand on their LinkedIn. Especially when AI is doing 40% of the work that used to require headcount.
The hardest part of building this kind of team isn’t finding talent. It’s filtering for drive. Most interview processes test for skill, not for hunger. The founders who get this right test for both.
They look for people who’ve built something before, because the act of building reveals motivation in a way that no interview ever will.
3. Deep subject matter expertise
Know-how.
The thing that took you ten years to learn. The pattern recognition you can’t Google. The instinct for what’s actually broken in an industry versus what just looks broken from the outside.
This is one of the few moats that’s getting more valuable, not less. Because anyone can build the software. Far fewer people actually understand the problem they’re building for.
When I look at JAAQ, the reason we can build clinically governed health content at scale isn’t because we have better engineers than the next AI wellness startup. It’s because we’ve spent years building relationships with clinicians, understanding what makes mental health content safe versus harmful, learning what regulators care about, and embedding that into how we operate. That’s not replicable in a weekend. It’s actually one of the hardest things I’ve done.
If you’re a founder without deep domain expertise, find a co-founder who has it. Or go earn it. There are no shortcuts here. The companies that win in regulated, complex, or relationship-heavy industries will be the ones run by people who’ve actually lived in those industries.
4. An operating model that drives outcomes
Most companies don’t have an operating model. They have habits.
The difference matters more than founders realise. An operating model is codified. Written down. Repeatable. It tells everyone how decisions get made, how work moves, how performance is measured, what the rhythm of the business is.
Habits are what happen when you don’t have an operating model. They feel productive. They’re not. They’re just patterns that emerged because nobody designed something better.
In a world where execution speed is the primary differentiator, the companies that codify their operating model run circles around the ones that don’t. New hires onboard faster. Decisions get made cleaner. Friction drops. The business compounds.
This is one of the most overlooked aspects of building a company. Founders treat operating models as bureaucracy when they’re actually leverage. The discipline of writing down how your company actually works forces you to confront what’s broken and fix it.
Don’t just do it. Write it down. Make it teachable. Build the machine that makes the machine.
5. Aggressive focus on monetisation
Revenue is the ultimate validation.
Repeat after me:
Revenue is the ultimate validation.
I’ll say it one more time:
Revenue is the ultimate validation.
But too many founders today optimise for everything except revenue. Users. Engagement. Press coverage. Conference appearances. LinkedIn followers. They’re optimising for the look of a successful company without building one.
The founders I’ve watched go furthest are obsessed with the leading indicators that predict revenue. They know which behaviours convert. They know which customer types have the highest lifetime value. They know what their sales cycle actually looks like, not what it should look like in theory.
This isn’t a sales-led versus product-led debate. It’s a discipline question. If you’re not aggressively focused on monetisation, you’re not building a business. You’re running a science project that happens to have employees.
I’ve been fortunate to be involved with a marketplace business that grew from $5m to $50m in revenue. The thing that drove that wasn’t a single tactic. It was relentless focus on the leading indicators that drove monetisation. Every meeting. Every roadmap decision. Every hire. Filtered through one question: does this move us closer to revenue, or further away?
6. Ability to take feedback, learn, and adjust
The founders who win are the ones who can hear hard truths without flinching.
I’ve passed on plenty of founders who had great ideas but couldn’t take a single piece of critical feedback without going defensive. That’s a tell.
Companies that can’t absorb signal from customers, investors, and team members hit a ceiling fast.
This is a personal trait, not a strategic one. It comes from the founder. If you’re someone who needs to be right, who can’t stomach being wrong in public, who treats feedback as personal attack, you’ll cap out. The world will give you signal. Your ability to receive it determines how far you go.
Stay coachable. Stay editable. Stay willing to be wrong. The cost of changing your mind is almost always lower than the cost of holding onto a bad idea.
7. Customer centricity, more than ever
When everyone can build, the only thing that separates you is how deeply you understand your customer.
Not surveys. Not personas. Not “voice of the customer” presentations. Real understanding. The kind that comes from spending hours with the people you’re trying to serve. Watching them work. Listening to what they say and noticing what they don’t say.
Your product can be copied. Your customer relationship can’t. At least not quickly.
The companies I see winning right now have founders who can recite their customer’s day in granular detail. They know what their customer reads, who they trust, what frustrates them, what they’re afraid of. They’ve built relationships, not just transactions.
This is the thing AI cannot replicate. AI can build the product.
It cannot build the trust.
8. Recurring revenue
Build a business that compounds.
One-off revenue is a treadmill. Recurring revenue is an engine. The difference is the difference between exhausting yourself every month chasing the next deal and waking up to revenue that’s already there because the engine ran while you slept.
In an era where building costs nothing, the companies that win are the ones whose revenue model has gravity. SaaS, subscription, contracted partnerships, embedded fees, anything where the customer keeps paying because they keep getting value.
This isn’t just about valuation multiples (though those matter). It’s about compounding. A business with recurring revenue gets better every year because the base keeps growing. A business without it has to start over every quarter.
If your business model doesn’t compound, you don’t have a moat. You have a job.
9. Emotional intelligence
Lead. Coach. Be coachable.
Founders who can’t read a room, can’t manage their own state, can’t build trust - they cap out. Doesn’t matter how smart they are or how strong their thesis is.
The ability to navigate human dynamics, especially under pressure, is one of the most underrated founder skills. And it gets more important the bigger your team gets. In the early days, you can get away with intensity and chaos. As you scale, the cost of poor emotional regulation compounds across every interaction.
I’ve seen founders lose seven-figure deals because they couldn’t manage themselves in a meeting. I’ve seen great companies stall because the founder couldn’t have a difficult conversation with a senior hire. I’ve seen culture collapse because nobody at the top could model what calm leadership looked like.
Train this. It’s not a fixed trait. It’s a built capacity.
10. A thirst for knowledge
Curiosity compounds.
The founders I’ve watched go furthest aren’t the smartest. They’re the most curious. They read. They study other industries. They ask better questions. They keep learning when everyone else has settled into their patterns.
In a world that’s changing this fast, the rate at which you learn is the rate at which you grow. Founders who stop learning at any age from arrogance or laziness get out-thought by founders who keep learning and are thirsty. The ones who win don’t have a fixed playbook.
They build a new one every year.
This is also one of the few real defences against AI commoditisation. The founders who are deepest into how AI actually works, what’s coming next, what the second-order effects are, those founders are positioned to make decisions the rest of the market won’t see for another 18 months.
11. Laser focus and the ability to say no
Most companies don’t die because they couldn’t find an opportunity.
They die because they tried to chase too many.
The ability to say no; to features, to partnerships, to customers, to entire markets, is one of the most important skills a founder can develop. Especially now, when AI makes it so easy to build the next thing.
I learned this the hard way at ContentCal. We chased agencies, SMBs, and enterprise simultaneously for too long. We had multiple roadmaps running in parallel. Every customer call generated a new feature request and we tried to honour most of them. We were busy. We weren’t focused.
The breakthrough came when we picked one customer type and went all-in. Everything got easier the moment we said no to everything else.
Pick one. Win. Then expand.
12. Learn AI if you don’t already know it
Not optional anymore.
If you’re not personally using AI in your daily work, not as a toy, but as a thinking partner, a research engine, a drafting tool, a decision support system, you’re already behind. The gap between augmented founders and non-augmented founders is widening every month.
Your team will move at the speed you move. If you’re not using AI deeply, your company won’t either. You can’t lead a team into a future you don’t understand.
This is why I’m building AcademyAI. Across my portfolio, I kept seeing the same problem: founders and teams who knew AI mattered but didn’t know how to use it properly. The tools weren’t the bottleneck. The skills were.
Get fluent. Today, not next quarter.
13. Perseverance and resilience
This is the biggest one.
Everything above matters. None of it matters if you quit.
Building a company is brutal. Selling, scaling, hiring, firing, raising, surviving, it grinds people down. The ones who win aren’t the smartest, the best-funded, or the most talented. They’re the ones who keep going when the obvious move was to stop.
I’ve been at 30 days of runway twice at ContentCal. Both times we survived. Not because of brilliant strategy. Because we kept going long enough for the next thing to work.
And frankly because I refused not to get up and take another swing when we were knocked down.
Resilience is not a personality trait. It’s a built capacity. You train it like you train anything else. Through reps, recovery, systems, and the occasional reminder of why you started. The founders I respect most aren’t the ones who never struggled. They’re the ones who struggled and kept going anyway.
If you take one thing from this essay, take this. Everything else is sharpening the sword. Resilience is what lets you stay in the fight long enough to use it.
The new game
The barrier to building has collapsed. That isn’t a threat. It’s a clarification.
For years, founders hid behind technical complexity. The product was the moat. The codebase was the defence. The engineering team was the proof. AI ripped that veil off and exposed what was always actually true: the work was never building the software.
The work was building the company.
The team. The customer relationships. The operating model. The monetisation engine. The brand. The trust. The discipline to focus. The emotional capacity to lead. The resilience to keep going when the obvious move was to stop.
That work is harder than ever. And it’s also more valuable than ever. Because everyone can build now. Almost no one can do all of this.
The founders who understand the shift will build the next generation of category-defining companies. The ones who keep pitching their tech stack as defensibility will get out-built by people who never had time to be precious about it.
This isn’t a moment to panic about AI eating your moat.
It’s a moment to recognise the moat was never what you thought it was.
The companies that win in the age of AI will look a lot like the companies that won in every previous era. Focused. Customer-obsessed. Deeply expert in their domain. Run by founders who could absorb feedback, build resilient teams, and outlast the cycles.
What’s changed isn’t the playbook. What’s changed is that there’s nowhere left to hide.
Build the team. Pick the market. Earn the customer. Codify the operations. Compound the revenue. Stay curious. Stay coachable. Stay in the fight.
The barrier to entry has collapsed. The barrier to winning has never been higher.