Geoffrey Woo Shares Due Diligence Checklist for AI Companies: If Founders Can't Answer, the Demo is Likely Just a Show
Geoffrey Woo shares a due diligence checklist for AI companies: 1. What task's cost has been reduced? 2. What was the old cost? 3. What is the new cost? 4. Who was responsible before? 5. Who is no longer responsible? 6. What is the cost upgrade rate? 7. What will collapse at a 10x scale? If the founder cannot answer, the demo is likely just a performance.
The checklist emphasizes that AI products should focus on real cost optimization and scalability, rather than superficial demonstrations.
In market mechanisms, investors use similar frameworks to filter AI startups, with capital leaning towards projects that can prove economies of scale and operational efficiency improvements.
Source: Public Information
ABAB AI Insight
Geoffrey Woo has participated in AI investments multiple times, and this checklist reflects VCs' focus on the transition from demonstration to actual value verification in AI companies, akin to a practical version of due diligence frameworks used by funds like a16z and Sequoia.
In terms of capital flow, companies that cannot answer core questions will struggle to secure follow-up financing, with funds favoring AI applications that have clear cost curves and scalability paths, while also pushing founders to focus on unit economics.
Similar to how early SaaS companies focused on CAC/LTV metrics, the current AI startup landscape is at a critical juncture transitioning from demonstration-driven to cost and scale validation, and this checklist provides practical criteria for assessment.
Essentially, this reflects regulatory changes and capital concentration, as the AI due diligence framework reshapes investment decision logic, shifting pricing power from technical demonstrations to real cost optimization and scalability, accelerating the industry's evolution from a bubble to sustainable business models.
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Demonstration is the starting point, cost is the verification, scale collapse is the risk, and the due diligence checklist defines trustworthiness.
The core is cheaper tasks, who stops touching is the signal, and 10x scale is the touchstone.
AI companies are not stories, but unit economics, with pricing power determined by founders who can answer the checklist.