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.
Founders are stuck in a SaaS mindset, selling tools to existing service providers. The bigger opportunity is to build new, AI-first service companies (e.g., accounting, legal) that use AI to deliver a superior end-to-end solution directly to customers.
An AI-native service provider goes directly to the end customer, bypassing intermediaries. They offer a superior result (e.g., faster, cheaper cybersecurity) at a lower price, making the switch an easy decision by solving the entire problem.
In the late B2B SaaS era (2018-2022), major opportunities were gone. Startups were forced to build 'nice-to-have' solutions for narrow verticals, like a CRM for recruiters, offering only marginal improvements over existing horizontal tools.
Pre-AI, the main challenge was creating a compelling, non-incremental value prop. Post-AI, creating 10x value is table stakes. The primary risk has shifted to intense, multifaceted competition from incumbents, foundation models, and new entrants.
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.