With AI commoditizing technology, the sustainable advantage for startups is the speed and discipline of their experimentation. Founders who leverage AI to operate 10x faster will outcompete those with static tech advantages, as execution velocity is far harder to replicate than a feature.

As AI models democratize access to information and analysis, traditional data advantages will disappear. The only durable competitive advantage will be an organization's ability to learn and adapt. The speed of the "breakthrough -> implementation -> behavior change" loop will separate winners from losers.

In the fast-evolving AI space, traditional moats are less relevant. The new defensibility comes from momentum—a combination of rapid product shipment velocity and effective distribution. Teams that can build and distribute faster than competitors will win, as the underlying technology layer is constantly shifting.

With AI models evolving rapidly, last year's tech is likely obsolete. CEO Arvind Jain argues a fixed "moat" prevents adaptation. The real moats are organizational agility—the speed at which you can replace old code—and deep customer partnerships where you co-create value.

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.

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.

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.

When all competitors can access the same frontier models, the technology itself is not a sustainable advantage. The only durable moat is velocity: how fast your organization can iterate through the build-measure-learn-improve loop. The fastest team to learn and adapt wins.

In an age where AI can quickly commoditize features, traditional moats like data are weakening. Miro's CEO argues the only sustainable competitive advantage is an organization's speed of learning—its ability to rapidly identify market signals, separate them from noise, and act decisively.