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Forbes Daily Briefing

The AI Data Center Gold Rush Is Leaving The Landlords Behind

Forbes Daily Briefing

Forbes

Tech News, News, Business

4.418 Ratings

🗓️ 26 January 2026

⏱️ 5 minutes

🧾️ Download transcript

Summary

The mainstreaming of AI is turning into a trillion dollar business, yet the two biggest data center real estate firms have lagged in public markets. Here’s why—and how they could catch up.

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Transcript

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0:00.0

Here's your Forbes Daily Briefing for Monday, January 26th.

0:06.0

Today on Forbes, the AI Data Center Gold Rush is leaving the landlords behind.

0:13.0

Swollen with seemingly insatiable demand for computing power, the AI boom has birthed hundreds

0:19.0

of unicorns out of thin air, minted dozens of billionaires,

0:22.9

and alchemized more than a trillion dollars in market value for big public tech companies,

0:27.6

like Nvidia, Broadcom, Google, and Meta.

0:32.0

It's also inspired an infrastructure land grab, perhaps unprecedented in financial breadth. Earlier in January,

0:40.2

meta-CEO Mark Zuckerberg announced plans to build out tens of gigawatts of AI infrastructure this decade,

0:47.1

and, quote, hundreds of gigawatts or more over time. At $50 billion per gigawatt,

0:58.9

that will likely cost trillions. Boom time. At $50 billion per gigawatt, that will likely cost trillions. Boom times for AI infrastructure should mean banner years for the companies that have historically provided it,

1:04.1

data center real estate investment trusts or REITs. Yet three of the biggest, Equinix, with a $78 billion market cap,

1:13.2

Digital Realty with a $55 billion market cap, and Iron Mountain, with a $27 billion market

1:20.2

cap, aren't seeing them. Their share prices are down 13%, 11%, and 16% over the last year, respectively,

1:29.3

compared to the S&P 500's 17% increase.

1:33.8

These companies are the landlords for the internet.

1:36.7

They buy real estate, build data center shells with supporting infrastructure,

1:41.2

and lease the property to tech company tenants.

1:44.0

They should be killing it. They're not,

1:46.5

and it's likely because of a few things, lower appetite for risk, power constraints,

1:51.6

and lack of access to more and more speculative capital. Mark Giorelli, an analyst for Morningstar,

1:59.7

says that right now, the market believes that chips

2:02.3

from Google, Broadcom, Nvidia, and others, quote, will capture the economic profits of AI,

...

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