Understanding Business Moats in the AI Landscape: Insights for Founders

In the rapidly evolving landscape of artificial intelligence, many entrepreneurs are still tethered to the notion that simply incorporating AI into their offerings makes them stand out. However, a recent analysis reveals that merely stating 'we use AI' positions a startup as infrastructure rather than a standalone business. With 97% of products nominated for a notable award deeply integrated with AI, it is evident that the days of AI being a unique differentiator have passed. To truly succeed, founders must recognize and develop structural advantages that can withstand competition from well-funded challengers.

A deeper examination into venture-backed B2B AI companies that attracted significant funding since 2025 sheds light on what really sets successful startups apart. The study, which utilizes insights from a large product leader community, identifies two key types of moats that are essential for founders to understand: counter-positioning and network economies. These moats offer the potential for startups to protect their business models against aggressive competitors, even those with more resources.

Counter-positioning is an often-overlooked strategy that empowers startups to build models so distinct that competitors would harm their own profitability by attempting to replicate them. For instance, the switch from Blockbuster's traditional rental model to Netflix's subscription service exemplifies this concept. In today's AI era, only a small fraction (around 5%) of startups in the analyzed dataset leverage counter-positioning, making it a rare and valuable strategy that could provide a high valuation multiple for those who do. This approach manifests in sectors such as vertically integrated AI insurance that directly sells to employers, which traditional brokers find difficult to emulate without sacrificing their existing profit models.

On the other hand, network economies create value as more users engage with a product, ultimately leading to a stronger and more compelling offering. This type of moat is similarly rare within the dataset, appearing in just 5% of cases, yet those that utilize this strategy often find it to be a capital-efficient way to amplify their business visibility and valuation. In a B2B context, this could mean connecting brands directly to manufacturers or advertisers to audiences, creating a dynamic where each new participant enriches the overall network.

Startups often mistakenly believe that simply cornering proprietary data or building a high switch cost equates to establishing a notable advantage. While these factors hold some value—cornered resources appear in 44% of companies—they fail to offer the resilience seen in the aforementioned moats, as they can be exploited or diminished over time. Notably, 37% of companies exhibit switching costs, but they require significant investment and development to achieve meaningful results. As a result, merely having a combination of these strategies does not guarantee sustained market presence.

For founders in competitive sectors, recognizing the importance of these strategic moats is vital. The ability to articulate a business model's resilience against better-funded competitors is now a cornerstone of securing high valuation multiples. The real question founders should focus on is: What aspects of my business offer lasting protection from competition that can replicate my success? Those who can clearly answer this will likely thrive, while those who can't may find themselves struggling in a crowded market.

In the coming months, founders should particularly pay attention to how effectively they can structure their models to incorporate counter-positioning or network economies. By doing so, they can build resilient businesses that not only survive but flourish in a landscape increasingly dominated by artificial intelligence and deep competition.