STORY · FORSKNING_
Artificial intelligence computing power could become 10-15 times more expensive
A podcast episode argues that H100 GPUs should cost significantly more based on the value they generate compared to human software engineers. If an AI model at the H100 level can replace an engineer, the computing power should be priced accordingly – potentially 15 times current spot prices.
WHY IT MATTERS
This touches on the fundamental economics of AI infrastructure: if AI models become productive at the engineer level, market forces will push GPU prices significantly higher, affecting access, investment, and profitability for all AI actors.
SOURCES
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