The speaker advocates a four-step model: Validate, Pre-sell, Deliver, then Build. This approach prioritizes collecting payment based on a well-defined offer document before investing resources into product development, ensuring market demand and initial cash flow from day one.

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.

VCs have traditionally ignored the massive $16T services sector due to its low margins. AI automation can fundamentally change this by eliminating repetitive tasks, allowing these companies to achieve margin profiles similar to software businesses, thus making the sector newly viable for venture investment.

Most successful SaaS companies weren't built on new core tech, but by packaging existing tech (like databases or CRMs) into solutions for specific industries. AI is no different. The opportunity lies in unbundling a general tool like ChatGPT and rebundling its capabilities into vertical-specific products.

To achieve rapid, bootstrapped growth, don't choose between a service or a product. Start with a hybrid: a product with a service aspect. This allows you to generate immediate cash flow and validate the market with the service, while using that revenue to build the more scalable product asset.

Instead of pursuing complex, open-ended consulting projects, partners can scale more effectively by creating productized, "turnkey AI" offerings for specific business units like legal or marketing. This approach lowers the adoption barrier for customers by delivering predictable results for a defined use case, making it easier to sell into departments or smaller businesses.

Enterprises are comfortable buying services. Sell a service engagement first, powered by your technology on the back end, to get your foot in the door. This builds trust and bypasses procurement hurdles associated with new software. Later, you can transition them to a SaaS product model.

Businesses previously considered non-venture scale due to service-based models and low margins, like Managed Service Providers (MSPs), are becoming investable. By building with an AI-first core, these companies can achieve the high margins and scalability required for venture returns, blurring the line between service and product.

In a world where AI makes software cheap or free, the primary value shifts to specialized human expertise. Companies can monetize by using their software as a low-cost distribution channel to sell high-margin, high-ticket services that customers cannot easily replicate, like specialized security analysis.