Instead of selling software to traditional industries, a more defensible approach is to build vertically integrated companies. This involves acquiring or starting a business in a non-sexy industry (e.g., a law firm, hospital) and rebuilding its entire operational stack with AI at its core, something a pure software vendor cannot do.

GC systematically evaluates industries by mapping their core tasks against four specific buckets where AI is most effective: customer success, data entry, content creation, and basic logic/reasoning. An industry must have significant activity in these areas to be a viable roll-up candidate.

GC is shifting from a traditional venture fund to a company that incubates and holds "transformation companies" like a hospital system and an AI consultancy indefinitely. These businesses are designed for long-term value creation, not quick exits, and also serve its portfolio founders.

As AI infrastructure giants become government-backed utilities, their investment appeal diminishes like banks after 2008. The next wave of value creation will come from stagnant, existing businesses that adopt AI to unlock new margins, leveraging their established brands and distribution channels rather than building new rails from scratch.

The success of an AI roll-up hinges on effective technology implementation. Therefore, the primary filter for acquiring a company is not just its financials but whether its leadership and culture are genuinely eager to adopt AI and transform their operations. This cultural fit is non-negotiable.

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.

Unlike private equity's 3-5 year model focused on debt and cost-cutting, GC's AI roll-ups are structured like venture-backed tech companies. The 7-10 year goal is to build a public "compounder" (like Danaher) that uses AI for operational improvements and reinvests cash flow into more acquisitions.

Thrive Capital invested in an AI-powered accounting firm, not an accounting AI software tool. Their thesis is that in some industries, the service provider who uses AI to become hyper-efficient will capture more value than software vendors selling tools to a fragmented customer base. This is a bet on the business model, not just the technology.

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.