Why building two data centers a week won’t fix AI’s bottleneck
The rapid construction of data centers is insufficient to address the bottlenecks in AI infrastructure. While major tech companies are investing heavily in data centers, the lack of adequate connectivity poses a significant challenge. Effective AI operations require fast and reliable data exchange, which is currently lacking.
- ▪The top five hyperscalers are expected to invest around $600 billion in AI infrastructure by the end of the year.
- ▪There are over 3,000 data centers in operation in the US, with an additional 1,500 under development.
- ▪The real bottleneck in AI infrastructure is the inadequate connectivity between data centers, not the compute power alone.
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Pro Why building two data centers a week won’t fix AI’s bottleneck Opinion By Mahesh Krishnaswamy published 3 June 2026 Building AI infrastructure without connectivity is like cities without roads When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Getty Images) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter The AI race is now firmly underway, and those lacing up their running shoes have become fixated on two variables – power and compute, but no one is talking about the third and it's the one that decides who gets there first.By the end of the year, the top five…
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