Technologies
Data Centers Are ‘AI Factories.’ Google and Meta Are Spending Big Bucks to Build Them
It’s not just the spending that will be big. Meta’s Mark Zuckerberg envisions a single data center, the footprint of which would occupy as much acreage as a good chunk of Manhattan.
Tech giants Google and Meta have a lot riding on the growth and success of AI, and to support those efforts, they’re also committing significant sums of money to build the data centers they’re going to need to run that power-hungry technology.
On Tuesday, Google announced that it plans to invest $25 billion in data centers and other AI infrastructure tied to the PJM Interconnection, the biggest electric grid in the US. The PJM Interconnection reaches across 13 states in the eastern half of the US. The new data centers are expected to be in and around Pennsylvania.
To help meet the energy demands of the new data centers, Google also said it will invest $3 billion in hydropower. That use of a renewable energy source fits in with Google’s goal to become carbon-free by 2030. (Similarly, Meta is aiming to achieve net-zero emissions by 2030.)
«I think there is a race on to co-locate data centers close to reliable, plentiful and inexpensive sources of energy,» Ramayya Krishnan, professor of management science and information systems at Carnegie Mellon University’s Heinz College.
The advent of generative AI tools like ChatGPT, Google’s Gemini and Meta AI is accelerating the demands on data centers, which also support everyday cloud computing tasks like photo sharing and movie streaming.
«Data centers are a critical part of the AI production process and its deployment,» said Krishnan. «Think of them as AI factories.»
Google already operates dozens of data centers worldwide.
Google’s announcement comes on the same day that President Donald Trump is attending an energy summit at Carnegie Mellon University in Pittsburgh, where investment in AI is a key topic.
On Monday, Meta CEO Mark Zuckerberg said that his company will invest «hundreds of billions of dollars» in the computing needed to build superintelligence, a lofty aspiration to create AI that surpasses human capabilities.
Zuckerberg said that Meta has «several multi-[gigawatt] clusters» in the works, referring to the power consumption of the data centers. «We’re calling the first one Prometheus, and it’s coming online in ’26. We’re also building Hyperion, which will be able to scale up to 5GW over several years.» Earlier this year, Zuckerberg introduced one of Meta’s newest data centers, a 2GW facility being built in Louisiana.
These facilities could be mammoth. In a post on Threads, Zuckerberg showed the outline of a single data center that would cover «a significant part of the footprint of Manhattan.»
As the big new data centers get built, that could bring both opportunities and stresses to the communities near them
In a recent Airedale by Modine survey of 600 Americans, 70% of respondents said they wouldn’t mind living near a data center and remained hopeful that the facilities would positively impact their community. Among those who opposed data centers being built near their homes, their top concerns involved increased energy demand, noise pollution and hits to property value.
Krishnan noted the potential pluses and minuses. Data centers could raise energy prices for residential customers if the energy supply is limited, and they also use significant amounts of water, which could create environmental concerns.
«On the positive side,» Krishnan said, «data centers could create an eco-system of partners increasing employment opportunities in the region and [consequential] growth.»
Technologies
Google races to put Gemini at the center of Android before Apple’s AI reboot
Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.
Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal
Technologies
Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’
Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.
Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle
Technologies
Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge
Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.
Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.
Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.
The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.
The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.
Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.
Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.
Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.
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