Inside the economics of OpenAI (exclusive research)

About this episode

The episode explores the economic viability of AI companies, focusing on OpenAI's financials and R&D costs.

In this episode, I'm joined by Jaime Sevilla, founder of Epoch AI; Hannah Petrovic from my team at Exponential View; and financial journalist Matt Robinson from AI Street. Together we investigate a fundamental question: do the economics of AI companies actually work? We analysed OpenAI's financials from public data to examine whether their revenues can sustain the staggering R&D costs of frontier models. The findings reveal a picture far more precarious than many assume; we also explore where the real infrastructure bottlenecks lie, why compute demand will dwarf energy constraints, and what the rise of long-running agentic workloads means for the entire industry.

People in this episode

Guests: Jaime Sevilla, Hannah Petrovic, Matt Robinson

Topics covered

• economics
• AI
• technology
• business
• research

Keywords

• OpenAI
• financial analysis
• R&D costs
• infrastructure bottlenecks
• compute demand
• agentic workloads

Mentioned in this episode

Products: OpenAI

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