Switch Seeks Billions at $50B+ Valuation as AI Reprices the Data Center Market
Data center developer Switch is in talks to raise billions of dollars at a valuation exceeding $50 billion, with Brookfield Asset Management and KKR among interested investors. The fundraise, advised by Goldman Sachs and JPMorgan, reflects a structural repricing of AI infrastructure that has transformed campus-scale data centers from real estate plays into critical compute assets.
Not long ago, a data center company valued at $50 billion would have seemed implausible. Today, that figure is the starting point of Switch’s fundraising conversation.
The Las Vegas-based data center developer is in advanced talks to raise billions of dollars at a post-money valuation of more than $50 billion, according to people familiar with the matter first reported by The Information. Goldman Sachs and JPMorgan are advising on the transaction, with Brookfield Asset Management and KKR among the large institutional investors discussing participation in the round.
The fundraise — which could include a secondary component allowing early investors and employees to sell shares — is also being structured with a potential IPO as the next step, potentially as soon as 2027.
A Company Repriced by AI Demand
Switch’s trajectory illustrates how completely AI has transformed the economics of data center infrastructure. The company was founded in Las Vegas in 2000, initially focused on building large, energy-efficient facilities in markets overlooked by the major hyperscalers. It went public in 2017 and was taken private again in 2022 in a $11 billion acquisition by DigitalBridge and IFM Investors — a transaction that itself reflected rising valuations for digital infrastructure assets.
The $50 billion-plus figure being discussed today represents more than a 4.5x increase in enterprise value in roughly four years. That repricing is almost entirely attributable to one variable: the explosion in demand for GPU compute infrastructure to train and serve AI models.
“Data center capacity has become the most valuable scarce resource in the global technology economy,” said one infrastructure analyst who tracks the sector. “Companies with the land, power contracts, and fiber connectivity already in place — and the ability to build at hyperscale — have become extraordinarily valuable very quickly.”
The Pittsburgh Campus and Expansion Strategy
Switch’s expansion ambitions are visible in its recent development activity. In spring 2026, the company announced plans for a 382-acre campus in Beaver County, Pennsylvania — in the greater Pittsburgh area — designed to serve the dense concentration of healthcare, finance, higher education, and government organizations in the Eastern United States.
The Pennsylvania campus is one of several expansion projects underway. Switch operates existing facilities in Las Vegas, Reno, Atlanta, and Grand Rapids, all of which have seen surging occupancy as hyperscalers, AI startups, and enterprise customers compete for available capacity.
The company’s model — building facilities that offer higher power density, more advanced cooling infrastructure, and longer-term power contracts than standard commercial data centers — positions it squarely in the segment of the market where AI workloads cluster. Training runs for frontier AI models require sustained high-density power delivery over months; inference infrastructure serving production applications requires consistent low-latency connectivity and reliability guarantees that commodity data centers frequently cannot provide.
The SoftBank Episode
The current fundraise comes after a previous round of acquisition interest. SoftBank had explored acquiring Switch at a valuation near the current $50 billion figure, but those discussions ended without a deal — leaving Switch to pursue independent capitalization rather than a strategic acquisition.
The outcome of the SoftBank talks left Switch in a relatively unusual position for a company of its scale: independently held, with existing private equity backers seeking liquidity, and operating in a market where every quarter brings new evidence of surging demand. The current fundraise is designed to provide that liquidity while positioning the company for public markets.
The $1.4 Trillion Infrastructure Bet
Switch’s fundraise is one data point in a broader infrastructure investment boom that shows no sign of slowing. US utilities alone have announced plans to spend $1.4 trillion by 2030 upgrading electrical grid capacity to support data center expansion — a figure that illustrates how the AI compute buildout is becoming a structural driver of the broader economy, not just the technology sector.
Alphabet raised its 2026 capital expenditure guidance to between $195 billion and $205 billion — up from a previous range of $180 billion to $190 billion — specifically citing the need to expand data center capacity to meet AI demand. Microsoft, Amazon, and Meta have published similarly ambitious multi-year infrastructure commitments.
For Switch and its peers in the data center development sector, hyperscaler capex commitments are effectively demand signals. When Google says it intends to spend $200 billion building out compute capacity, companies with shovel-ready land, power contracts, and construction capability translate that into multi-year lease discussions.
The IPO Path
If the fundraising round closes as structured, Switch could be positioned for a public market debut as early as 2027. The IPO market for AI infrastructure companies has shown notable strength: data center REITs and digital infrastructure companies have outperformed the broader market as investors seek exposure to AI compute demand without the volatility of the AI model companies themselves.
A Switch IPO at or above the $50 billion valuation being discussed in the current round would make it one of the largest technology-adjacent public offerings of the decade, and would set a new benchmark valuation for campus-scale data center operators.
The fundraising discussions are ongoing and a deal is not certain. But the mere existence of a conversation at $50 billion-plus — for a company whose core business involves building and operating large buildings with reliable power and cooling — tells you something important about the moment the AI economy has reached.