Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic.
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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.
Read the study here: https://www.exponentialview.co/p/inside-openais-unit-economics-epoch-exponentialview
We covered:
(00:00) Do the economics of frontier AI actually work?
(02:48) Piecing together OpenAI's finances from public data
(05:24) GPT-5's "rapidly depreciating asset" problem
(13:25) Why OpenAI is flirting with ads
(17:31) If you were Sam Altman, what would you do differently?
(22:54) Energy vs. GPUs; where the real infrastructure bottleneck lies
(29:15) What surging compute demand actually looks like
(33:12) The most surprising finding from the research
(38:02) The race to avoid commoditization
(43:35) Agents that outlive their models
Where to find me:
Exponential View newsletter: https://www.exponentialview.co/
Website: https://www.azeemazhar.com/
LinkedIn: https://www.linkedin.com/in/azhar/
Twitter/X: https://x.com/azeem
Where to find Jamie: https://epoch.ai or https://epochai.substack.com
Where to find Matt: https://www.ai-street.co
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