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.

Early-stage founders should not prematurely optimize for defensibility. The primary focus must be on solving a real problem and building something people want. Moats are a defensive strategy that only becomes relevant once a startup has created value worth protecting.

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.

As foundational AI models become commoditized, the competitive advantage is no longer raw intelligence. Lasting value comes from building a reliable ecosystem around the AI, focusing on deep workflow integration, governance, user trust, and flawless operational execution. This is the true defensible moat.

Investors obsess over moats, but in a rapidly changing AI landscape, a startup's ability to quickly build and ship products that unlock latent demand is a more reliable predictor of success than any theoretical defensibility.

Deliverect's founder knew from experience that POS companies couldn't build an effective delivery integration layer, contrary to what investors believed. This non-obvious, domain-specific insight was their core strategic advantage and moat.

True defensibility comes from creating high switching costs. When a product becomes a system of record or is deeply integrated into workflows, customers are effectively locked in. This makes the business resilient to competitors with marginally better features, as switching is too painful.

True defensibility comes from successfully navigating successive challenges that weed out competitors. Many have an idea, fewer can build it, even fewer can maintain shipping cadence and distribution, and only a handful can raise capital at scale, leaving a 2-3 horse race.

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.