Inside General Catalyst’s AI Roll Up Playbook: hedging against the AI bubble
General Catalyst’s AI Roll Up: How Hemant Taneja is Building the Biggest Market in AI
What this brief covers
The backdrop is an AI bubble. Valuations for model companies and early stage AI apps have reached extraordinary levels.
Capital is flooding into the space faster than adoption can catch up. Many startups will not survive as foundation models grow more powerful and take over their features.
Hemant Taneja calls this moment “peak ambiguity.” Bubbles create enduring winners but they also leave plenty of failures.
Instead of chasing inflated valuations, General Catalyst is taking a different path. It is acquiring traditional service businesses and rebuilding them with AI.
The firm argues trillions of dollars in enterprise value are locked inside services where customer relationships and revenue streams already exist but margins are thin.
AI can transform those economics and produce companies that look more like software in profitability but operate at the scale of services.
This brief covers:
The core thesis behind General Catalyst’s AI roll ups and why services are the biggest near term AI market
The economic model: outcome pricing, Rule of 60, and why owning delivery matters
The playbook General Catalyst is executing step by step
Two case studies: Crescendo and Hippocratic AI
Capital committed, competitive landscape, key risks, and what to watch next
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