Traditional valuation models assume growth decays over time. However, when a company at scale, like Databricks, begins to reaccelerate, it defies these models. This rare phenomenon signals an expanding market or competitive advantage, justifying massive valuation premiums that seem disconnected from public comps.

As startups build on commoditized AI platforms like GPT, product differentiation becomes less of a moat. Success now hinges on cracking growth faster than rivals. The new competitive advantages are proprietary data for training models and the deep domain expertise required to find unique growth levers.

For established software companies with sluggish growth, the path forward is clear: find a way to become relevant in the age of AI. While they may not become the next Harvey, attaching to AI spend can boost growth from 15% to 25%, the difference between a viable public company and a sale to a private equity firm.

To build a multi-billion dollar database company, you need two things: a new, widespread workload (like AI needing data) and a fundamentally new storage architecture that incumbents can't easily adopt. This framework helps identify truly disruptive infrastructure opportunities.

To achieve hyper-growth ($40M+ ARR in year one), your product isn't enough. Every internal function—finance, legal, contracting, customer onboarding—must also be AI-native to process deals and deliver value at a velocity that matches sales success.

Ali Ghodsi argues that while public LLMs are a commodity, the true value for enterprises is applying AI to their private data. This is impossible without first building a modern data foundation that allows the AI to securely and effectively access and reason on that information.

The true advantage for new AI-native companies lies not in simply using AI tools, but in building entirely new business models around them. This mirrors how Direct-to-Consumer brands leveraged Shopify not just to sell online, but to fundamentally change distribution, marketing, and customer relationships, thereby outmaneuvering incumbents.

The fundamental shift from AI isn't about replacing foundational model companies like OpenAI. Instead, AI creates a new technological substrate—productized intelligence—that will engender an entirely new breed of software companies, marking the end of the traditional SaaS playbook.

YC Partner Harsh Taggar notes a strategic shift where new AI companies are not just selling software to incumbents (e.g., an AI tool for insurance). Instead, they are building "AI-native full stack" businesses that operate as the incumbent themselves (e.g., an AI-powered insurance brokerage).