Here's what's broken about venture capital in 2024: the incentive structure rewards repeating what worked before, not discovering what works next. And we're all paying the price for it.
Watch how the machine operates. A founder exits successfully. They raise a new fund or get another check. Meanwhile, the 99 founders who didn't get that lucky break get significantly harder meetings. The VC world doesn't openly admit this preference, but the data tells the story. Repeat founders have access. New founders don't. That's not meritocracy. That's path dependency dressed up as due diligence.
The justification sounds reasonable on the surface: proven track records matter. A founder who's built and scaled before probably understands unit economics, hiring, and product-market fit better than a first-timer. Fair enough. But here's where it breaks down. That logic assumes past success predicts future success in entirely different markets, technologies, and conditions. It doesn't.
Consider the robotaxi space that's consuming venture attention right now. The money flows to teams with autonomous vehicle experience or deep industry relationships. Meanwhile, someone who built a successful logistics app or worked on delivery routing is often considered an outsider. Sure, they understand networks and optimization. But they didn't build self-driving cars before, so they're riskier.
That risk assessment is upside-down.
The venture model is supposed to fund bets on the future. Instead, it's become a mechanism for compounding the advantage of founders who've already won. We see this in how network effects work in VC itself. Successful founders know other successful founders. They get warm introductions to the best firms. They can afford to raise from multiple sources. Their failures get characterized as learning experiences. Meanwhile, first-time founders face the opposite friction at every step.
The industry benefits from this arrangement. Fund managers can point to successful portfolio companies and claim credit. They can ride the coattails of repeat founders who already know how to work with VCs. They minimize their downside by betting on safer bets, even if those bets are less likely to generate breakthrough returns.
But who loses? The ecosystem loses. We get fewer experiments. We get fewer surprising winners from unexpected corners. We get more capital chasing the same proven playbooks instead of funding genuine innovation.
Look at the education and alternative network space. When new models for learning and professional development start gaining traction, who gets funded first? Usually, the team with a Stanford degree, prior startup experience, and connections to famous investors. The brilliant educator who's been solving the problem for five years in the classroom often can't get a meeting.
This pattern matters because it's self-reinforcing. When VCs only fund repeatable founders, the founders they fund are the ones with access to networks that include other VCs. It becomes a closed loop. Diversity of thought suffers. Risk-taking actually decreases, despite rhetoric about disruption.
Some VCs see this problem and actively work against it. They build programs for first-time founders. They network beyond their existing circles. They take real swings on unknowns. Those firms deserve credit. But they're swimming against a tide of structural incentives that point the other direction.
The honest conversation venture capital needs to have is about what it's optimizing for. If it's optimizing for repeatability and risk reduction, fine. But call it that. Don't call it innovation funding. Don't claim you're finding the next generation of transformative companies when you're actually just recycling the networks of the last generation's winners.
Readers should notice who benefits from this system and who doesn't. Because until the incentives change, the gatekeeping won't.