Comparing AI Datacenter Growth to the 2000s Telecoms Crash: Analyzing the Fundamental Differences
By
davedx
Master baker tier. Every paragraph earns its place on the tray.
Summary
This article examines whether the current AI datacenter boom is comparable to the 2000s telecoms crash. The author analyzes historical data and finds fundamental differences between the two situations, focusing on actual token demand growth, infrastructure utilization, and capacity constraints. While acknowledging surface-level parallels in infrastructure spending and bubble concerns, the article argues that the underlying economics don't match the 2000s playbook as many assume.
Key quotes
· 4 pulledI keep hearing the AI datacentre boom compared to the 2000s telecoms crash. The parallels seem obvious - billions in infrastructure spending, concerns about overbuilding, warnings of an imminent bubble.
But when I actually ran the numbers, the fundamentals look completely different.
I'm not here to predict whether there will or won't be a crash or correction. I just want to look at whether the comparison to telecoms actually holds up when you examine the history in a bit more detail.
Looking at actual token demand growth, infrastructure utilization, and capacity constraints - the economics don't match the 2000s playbook like people assume
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