What Happens When Startups Need Less Capital?

Most people remember Clayton Christensen’s The Innovator’s Dilemma as a book about disruptive technologies. What made the book influential wasn’t the technology itself. It was the observation that successful organizations often become optimized for the wrong thing.

One of Christensen’s most famous examples involved the disk drive industry. Throughout the 1970s and 1980s, industry leaders such as Control Data, Memorex, and Seagate repeatedly lost their positions as new disk drive formats emerged. The surprising part wasn’t that the incumbents failed to see the new technologies. They usually saw them quite clearly.

The problem was that the new technologies initially served markets that looked too small to matter. The incumbents continued doing exactly what had made them successful: listening to customers, improving performance, and allocating resources toward their most attractive opportunities. By the time the new markets became large enough to matter, the industry leadership had already changed.

Venture capital may be approaching a similar moment.

For decades, venture capital solved a simple problem: ambitious founders needed capital to build companies. That assumption is becoming less true every quarter.

Most discussions about AI focus on what the tools can do today. The more interesting question is what they will be able to do two years from now. Looking backward is easier than looking forward.

Two years ago, I would not have believed that I could build software products again after spending more than a decade away from programming. If you had told me in 2024 that I would be shipping software in 2026 without relearning modern software engineering, I would have dismissed the idea. Yet here we are.

Christensen’s lesson is that disruption rarely happens because incumbents fail to see a change. More often, they underestimate where the change is heading.

Every few months, the same AI tools become capable of things that seemed impossible a year earlier. Tasks that once required teams increasingly require individuals. Projects that previously took months increasingly take days. If the next twenty-four months look anything like the last twenty-four, the economics of company creation will continue to change dramatically.

Founders will still need capital, but they may need dramatically less of it. For most of the history of venture capital, money was one of the primary constraints on company creation. If the amount of capital required to reach meaningful milestones falls by 5x or 10x, the role of capital itself begins to change. The startup ecosystem doesn’t disappear, but the bottleneck moves somewhere else.

The games industry may offer an early glimpse of what happens next.

In mobile gaming, once a company demonstrates strong retention and monetization metrics, access to growth capital is rarely the limiting factor. If the economics work, there are investors willing to fund user acquisition. The more interesting question is what advantage an investor provides beyond the money.

Every company is competing in largely the same advertising auctions. Every company faces rising acquisition costs. Every company with strong enough metrics can usually find capital. Money gets a company into the game. Everything else determines how effectively it competes.

Traditionally, venture firms justified their value beyond capital through advice, expertise, and pattern recognition. AI complicates that argument.

Twenty years ago, information itself was valuable. Investors often knew things founders didn’t know. Today, much of that information is available instantly, and AI can often synthesize it faster, more comprehensively, and in a more accessible format than a catch-up with your investor.

That leads to a more uncomfortable question: what can a venture capitalist provide that AI cannot?

AI is becoming remarkably good at providing information, analysis, recommendations, and even strategic advice. I’ve built a project in Claude Code, called “Business Strategy” and its been incredibly valuable for sparring, industry insights, pushback on ideas, etc.

But, what AI cannot do is introduce a founder to a customer, lend credibility during a critical sales process, or spend years building the relationships, reputation, audience, and distribution that open doors. The further AI advances, the more the remaining sources of value become social rather than informational.

From a founder’s perspective, the real test is no longer whether an investor can write a check. It’s whether that investor can help the company grow faster than it otherwise would.

For decades, venture firms built their value proposition around access to capital. Increasingly, founders may care more about who can help them acquire customers, reach audiences, recruit talent, open doors, and create momentum. In a world where building becomes cheaper every year, those advantages become more important, not less.

For decades, the venture industry’s core assumption was that ambitious founders needed capital.

Increasingly, the founders I meet need more than capital. They need help finding customers, building distribution, creating momentum, and standing out in increasingly crowded markets. Capital still matters, but if AI continues driving the cost of creation toward zero, it may stop being the most valuable thing investors provide.

And when the bottleneck changes, industries tend to change with it.