Why smarter AI models could drive up compute prices 10x
Summary
Dwarkesh Patel analyzes the divergence between AI labs' 10x revenue growth and only 3x compute scaling. He argues that rising compute prices and margins will bridge this gap, favoring efficient models via the Alkin-Allen effect. This dynamic may price out low-value applications while concentrating power among top labs due to strong economies of scale.
Topics discussed
Anthropic's revenue growth vs compute scaling trends
Three factors bridging the revenue-compute gap
Rising compute prices and margin dynamics
Monetizing compute and the lump of labor fallacy
The Alkin-Allen effect and pricing out AI apps
Compute scarcity and supply chain bottlenecks
Sponsor: Mercury Command AI for bookkeeping
Future compute costs and economies of scale
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