Why the Most Profitable AI Startups Often Don't Chase Big Markets
Deep thoughts on AI and aspirations —— ByteDance Deep Thinking Circle
The mainstream narrative in AI startup circles has always been “big markets”—build platforms, create general-purpose tools, target needs of hundreds of millions. But a counterintuitive phenomenon emerges: those who make real money fastest are often not the companies fixated on big markets, but those who deliberately chose a niche so small and narrow that nobody else bothered to look at it, then dove in headfirst.
A telling heuristic: Go small, go deep, charge premium—that’s the fastest path to revenue.
Why “Narrow” Is Actually an Advantage
Most people fear small markets, worried about low ceilings. But in this particular stage of AI, narrow markets offer three advantages nobody can take away.
First, narrow markets command premium pricing. If your product serves only an extremely narrow group, you can price very high—because unlike general-purpose products, you don’t need to please everyone. Serving a thousand people willing to pay $500/month is far easier money than serving ten thousand who’ll only pay $20/month.
Second, narrow markets enable deep moats. General tools need only hit 80 points to be good enough, but when you serve just one type of user, you can reach 95 points. That extra depth becomes a barrier competitors can’t replicate quickly.
Third, narrow markets let you dodge giants. Big companies dismiss narrow markets as too small to bother with. So you quietly make money in places giants find beneath them. By the time they notice, you’ve already captured that domain.
Why “Broad” Is Actually Dangerous
Conversely, companies chasing big markets face several fatal problems.
Big markets mean everyone’s watching you, including giants. Build a general AI assistant and you’re competing with every major company and countless startups. Your product hitting 80 points means nothing when everyone else is also at 80—what’s your edge?
And big markets make premium pricing impossible—you need most people to see value, so prices get compressed. The result: fiercest competition, lowest prices, maximum exhaustion.
So here’s the stark reality: Big markets look tempting but are red ocean brawls; small markets look meager but are blue ocean monopolies.
But “Going Small” Has Its Costs
Don’t romanticize this path either. Narrow markets impose two unavoidable constraints.
First is the ceiling. Even the most profitable narrow market has a top—you’ll hit it eventually. So those pursuing narrow markets must plan ahead: after hitting the ceiling, do you deepen services along that vertical, or expand laterally into a second niche?
Second is dependence on a single group. Serving only one type of user means if their needs shift or get satisfied differently, you’re vulnerable. So narrow market moats must be built on “deep understanding,” not just “serving them exclusively.”
Judgment for Founders
My advice: don’t rush to ask “is the market big enough”—ask first “can I serve one type of user more deeply than anyone else?”
Find a niche so narrow nobody respects it, but where you can dive in and reach mastery. Drive up unit economics, build deep moats, make real money, then consider scale. This isn’t conservative—in an era where AI giants can crush you anytime, it’s the most practical way to survive.
Key points: Narrow markets = high unit price + deep moats + dodging giants; broad markets = red ocean brawls; going small has ceiling and dependency risks; ask first if you can serve one type most deeply, not whether the market is big enough.