Executive Summary
A16Z partners documented companies achieving zero-to-$100 million revenue in 12-24 months, a growth velocity never seen in traditional software. Alex Rampell identified three defensible AI application categories: traditional software going AI-native (greenfield opportunities), software replacing labor (expanding addressable market beyond software spend), and proprietary data moats enhanced by AI delivery. The critical insight is that AI enables value creation at price points previously uneconomical - software can now profitably serve markets where human labor costs exceeded value delivered. Unlike previous platform shifts where incumbents resisted adoption, both incumbents and customers view AI as obviously beneficial, creating simultaneous brownfield and greenfield opportunities. The firm's data shows 15% of global adults use ChatGPT weekly, with minutes-per-user growing exponentially. Enterprise adoption accelerated dramatically in January 2025, evidenced by expense management platform Ramp showing massive AI spending increases. The investment thesis centers on companies building 'systems of record' that create switching costs, rather than point solutions easily commoditized. Examples include legal AI platform Eve (0-to-$30M revenue) and debt collection AI Salient (50% higher collection rates than human operators). The window for AI-native category creation remains wide open, with incumbent software companies simultaneously strengthening through AI integration.
Key Insights
what Alex Rampell, David Haber, Anish Acharya, Jen Koff said“Very, very rarely have we ever seen a software company go from zero to $100 million in revenue in a year or two. And we are seeing this right now.”
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