In the AI era, where technology can be replicated quickly, the true moat is a founder's credibility and network built over decades. This "unfair advantage" enables faster sales cycles with trusted buyers, creating a first-mover advantage that is difficult for competitors to overcome.

The historical advantage of being first to market has evaporated. It once took years for large companies to clone a successful startup, but AI development tools now enable clones to be built in weeks. This accelerates commoditization, meaning a company's competitive edge is now measured in months, not years, demanding a much faster pace of innovation.

While early AI companies built moats on user data by being first-to-market with API wrappers, today's startups cannot. A defensible AI product now requires a true moat beyond a simple wrapper, as model providers can easily replicate basic functionality, making such businesses non-defensible.

Assuming technology is increasingly commoditized, a startup's defensibility comes from relentless execution. This includes providing a seamless onboarding experience and superior customer service—areas where large, impersonal frontier labs are unlikely to compete effectively.

With traditional moats gone, the only way to stay ahead is to move faster. Defensibility now comes from the speed at which a team can ship new value and deeply understand its customers, ensuring the product is always one step ahead of a crowded field.

In the SaaS era, a 2-year head start created a defensible product moat. In the AI era, new entrants can leverage the latest foundation models to instantly create a product on par with, or better than, an incumbent's, erasing any first-mover advantage.

With the underlying AI technology becoming more accessible, defensibility doesn't come from how hard the software is to build. Instead, founders must focus on classic, durable moats from business strategy: network effects, brand, scale advantages, and proprietary data. These fundamentals are more critical than ever.

With foundation models making technical features easy to copy, the sustainable advantage for AI companies lies in deep customer understanding. Serval's CEO stays in over 100 customer Slack channels daily to build this "customer insight" moat, which is harder to replicate than any product feature.

In the competitive AI landscape, having a superior model is not the only form of defensibility. Citing ChatGPT, Ben Horowitz highlights that possessing the customer relationship, user base, and brand can be a more durable advantage. This distribution power can help a company maintain its lead and "get to the next square" even if its technology is matched by competitors.