Venture capital is shifting from just funding disruptors to acquiring incumbent businesses, like a nonprofit health system. This provides a real-world environment for their portfolio startups to deploy and scale AI solutions, bypassing traditional enterprise sales cycles.

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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 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.

Urgency is forcing a major shift in hospital procurement. CIOs are no longer willing to wait years for incumbents like Epic to develop AI tools. They are actively partnering with startups to deploy commercially ready solutions now, prioritizing speed and immediate operational impact over vendor loyalty.

Despite the hype, YC's focus isn't just on pure AI startups. The accelerator is backing a diverse portfolio of companies in healthcare, finance, and deep tech, using AI as a disruptive tool to rewrite the rules of these traditional, 'dusty' industries, much like the internet did.

The partnership where OpenAI becomes an equity holder in Thrive Holdings suggests a new go-to-market model. Instead of tech firms pushing general AI 'outside-in,' this 'inside-out' approach embeds AI development within established industry operators to build, test, and improve domain-specific models with real-world feedback loops.

For fragmented, tech-averse industries, GC funds startups to first build an AI automation platform. Then, instead of a difficult sales process, the startup acquires traditional service businesses, implementing its own AI to dramatically boost their margins, providing immediate distribution and data.

The rapid evolution of AI means traditional private equity M&A timelines are too slow. PE firms and their portfolio companies must now behave more like venture capitalists, acquiring earlier-stage, riskier AI companies to secure necessary technology before it becomes unaffordable or obsolete.

Unlike typical tech disruption, healthcare often requires collaboration. Startups effectively "rent" distribution and patient access from incumbents. In return, incumbents "rent" cutting-edge innovation from startups, creating a necessary symbiotic relationship.

The strategy of acquiring incumbent companies to accelerate AI adoption is creating a new investment category. Unlike private equity, which optimizes existing assets for efficiency, this new class focuses on fundamentally transforming them into something entirely new.

Traditionally, service businesses lack scalability for VC. But AI startups are adopting a 'manual first, automate later' approach. They deliver high-touch services to gain traction, while simultaneously building AI to automate 90%+ of the work, eventually achieving software-like margins and growth.