The AI infrastructure debate’s heating up, as spending on data centers set to outpace office construction

Depending on who you ask, the AI data center boom is either an obscene waste or not fast enough.

Just yesterday, famed investor David Einhorn cautioned that there’s a “chance that a tremendous amount of capital destruction is going to come through this cycle.” Sam Altman, however, thinks that OpenAI’s hundreds of billions of dollars’ worth of spending will “look slow” in hindsight.

It’s hard to get your head around just how quickly the data center boom is taking off, but a viral chart from Joey Politano helps provide context. Indeed, according to Census Bureau data, construction spending for data centers in the year to July has reached an annualized rate of $41 billion — nearly exceeding the construction costs of all private offices in the US.

That’s a whopping 2,200% increase since July 2014.

With such an attractive alternative, investors are increasingly choosing to build data centers rather than offices, a trend accelerated by the shift toward remote work as many offices empty out postpandemic.

Data center construction spending accelerated after ChatGPT’s launch in late 2022, and the Census Bureau soon started to publish data center expenditure as a separate category. (Until then, data center was, ironically, lumped into the wider “Office” segment.)

Considering the Census Bureau’s annual spending data covers until the end of July, the data likely does not include the latest construction plans, such as the following, to name but a few, suggesting it’s only a matter of time before these two lines cross:

• Nvidia and OpenAI’s $100 billion, 10-gigawatt data center megadeal.

• OpenAI, Oracle, and SoftBank’s $500 billion “Stargate” project, which just announced the first five of its new data center sites.

• Meta’s planned “Titan Cluster” data centers.

Related reading: Clash of the titans: Here are the biggest AI data center projects