Cheaper AI tokens drive demand faster than cost reductions, a16z data shows
Original titleCheaper AI tokens are driving more demand, and that's Jensen Huang's best-case scenario
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- The Decoder
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Summary
According to a16z research, falling AI token prices are driving demand growth faster than costs decline, creating a Jevons paradox where H100 GPU rental prices remain steady or climb. If demand growth slows, the supply chain from chip makers to cloud providers faces pressure.
Original excerpt
Data from a16z shows a Jevons paradox in the AI market: token prices keep falling, but H100 GPU rental prices hold steady or climb. Cheaper AI drives demand faster than costs drop. If that demand flattens, the chain from chip makers to cloud providers takes a hit. The article Cheaper AI tokens are driving more demand, and that's Jensen Huang's best-case scenario appeared first on The Decoder.