Google’s “moonshot” aspirations to expand its AI footprint are taking on a more literal meaning.
CEO Sundar Pichai said in a Fox News interview on Sunday that Google will soon begin construction of AI data centers in space. The tech giant announced Project Suncatcher earlier this month, with the goal of finding more efficient ways to power energy-guzzling centers, in this case with solar power.
“One of our moonshots is to, how do we one day have data centers in space so that we can better harness the energy from the sun that is 100 trillion times more energy than what we produce on all of Earth today?” Pichai said.
Google will take its first steps in constructing extraterrestrial data centers in early 2027 in partnership with satellite imagery firm Planet, launching two pilot satellites to test the hardware in Earth’s orbit. According to Pichai, space-based data centers will be the new standard in the near future.
“But there’s no doubt to me that a decade or so away will be viewing it as a more normal way to build data centers,” he said.
The data center space race
To be sure, Google isn’t the only company looking to the skies for an answer to improving data center efficiency. Earlier this month, Y Combinator and Nvidia-backed startup Starcloud sent its first AI-equipped satellite to space. CEO and cofounder Philip Johnston predicts extraterrestrial data centers will produce 10 times lower carbon emissions than their earth-bound counterparts, even taking into account the emissions from launch.
While the cost of satellites used to test AI hardware in space has decreased drastically, putting extraterrestrial data center development within reach, the cost of building these solar-powered centers is still an unknown, particularly as earth-bound data centers are expected to require more than $5 trillion in capital expenditures by 2030, according to an April McKinseyreport.
Google, which catapulted itself back into the AI frontrunner conversation with the recent release of Gemini 3, is one of several major hyperscalers pouring money into data centers to expand its computing capabilities. Google itself announced this month a $40 billion investment in data center construction in Texas.
All the while, speculation of an AI bubble threatens to create an oversupply of data centers, which could render the data center space race a dangerous overinvestment.
“The stakes are high,” the McKinsey report said. “Overinvesting in data center infrastructure risks stranding assets, while underinvesting means falling behind.”
Harnessing solar energy to power data centers has become increasingly appealing amid growing concerns about the sustainability of expanding AI compute, which requires an exorbitant amount of power. A December 2024 U.S. Department of Energy report on domestic data center usage found data center load has tripled in the last 10 years and may double or triple again by 2028. These data centers consumed more than 4% of the country’s electricity in 2023, and are predicted to consume up to 12% of U.S. electricity by 2028, according to the report.
Google alone has more than doubled its electricity consumption on data center use in the last five years, using 30.8 million megawatt-hours of electricity last year compared to 14.4 million in 2020, when it began specifically tracking data center energy consumption, according to its latest sustainability report released in June.
Google has worked to reduce the energy needed to power its growing data centers, reporting it reduced its data center energy emissions by 12% in 2024, despite an increasing footprint. However, concerns about the lasting sustainability of data center expansion remain.
“There is still much we don’t know about the environmental impact of AI but some of the data we do have is concerning,” Golestan Radwan, United Nations Environment Programme chief digital office, said in a statement last year following the program’s note warning of the environmental impact of AI infrastructure expansion. “We need to make sure the net effect of AI on the planet is positive before we deploy the technology at scale.”
