The rapid growth of AI products isn't due to a sudden market desire for AI technology itself. Rather, AI enables superior solutions for long-standing customer problems that were previously addressed with inadequate options. The demand existed long before the AI-powered supply arrived to meet it.

To determine if a startup will succeed, analyze the sequence of events. Did organic customer demand and behavior exist before the startup created its supply (product, messaging)? If the startup is trying to force motion with its supply, it's a sign of conjuring demand and a higher risk of failure.

A 'dam' represents pent-up demand where users are frustrated and merely 'coping' with the status quo. Introducing a 10x better solution, often via new tech, doesn't create demand; it bursts the dam, releasing a flood of customers who see it as a magical fix for a problem they already have.

Successful startups tap into organic customer needs that already exist—a 'pull' from the market. In contrast, 'conjuring demand' involves a founder trying to convince a market of a new worldview without prior evidence. This is a much harder and less reliable path to building a business.

A common founder mistake is believing they must create demand for their new product. In reality, demand is an independent force—a person struggling to achieve something. Your job isn't to create this force, but to find where it's currently blocked and offer a solution that enables what already 'wants to happen'.

Founders mistakenly believe they can manufacture demand through better positioning or features. This is the "supply trap." True demand must exist independently before your product arrives. Your role is to find customers who are already "spring-loaded" (coping or blocked) and unleash their existing pull.

Hypergrowth often resembles a dam bursting when a product resolves a constraint blocking many people at once. These customers were already stuck wishing for a solution, creating an immediate, massive wave of adoption once enablement appears.

Founders fall into the trap of overproduction, believing shipping more AI-generated features leads to success. However, AI hasn't created new buyers. The core job remains finding product-market fit by talking to humans, not just building more software.

The primary reason startups stall is a misunderstanding of buyer psychology. Founders assume purchases are driven by pain points, problems, and product value. In reality, the decision to buy is often disconnected from these 'things.' Shifting focus from what the product is to what triggers a purchase is the key to unlocking growth.