Home AI InfrastructureWho prevails in the travails of scale?

Who prevails in the travails of scale?

by Kelly Hill
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CoreWeave is the latest company to report on quarterly earnings that showed strong growth in AI infrastructure revenues — along with ballooning capex that reflects the steep costs of scaling an infrastructure business. CEO Mike Intrator said that as fast as CoreWeave can make capacity available, it’s snapped up; that has been a common theme during this earnings season. Meanwhile, a new report from JLL gives the 30,000-foot view on just how painful the current bottleneck is: Across North America, data centers already face record-low vacancy, soaring power bills, and trillion-dollar investment pressures. The race to build the physical backbone for AI isn’t just expensive, it’s complicated by the headwinds that come from explosive growth. In today’s news line-up, that plays out in restructuring, energy crunches, and even a Texas investigation into AI chatbots. Let’s take a look. 👀
Kelly HIll

Kelly Hill
Executive Editor
RCRTech

AI Infrastructure Top 3

CoreWeave seeks scale: CoreWeave had a stronger than expected quarter as it responds to massive AI infrastructure demand. But the stock has been in a slide for several days, as investors weigh its losses and high capex spending.

Power is new bottleneck: North America’s data center sector is at a tipping point: record-low vacancy, soaring power costs, and trillion-dollar investment forecasts are reshaping how operators, cloud giants, and investors plan for the digital future.

SKT expands AI capacity: SK Telecom and Vast Data are building Korea’s largest sovereign AI infrastructure, using Nvidia supercomputers and promising to cut GPU provisioning times from weeks to minutes in support of government-backed AI.

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Meta’s fourth restructure: Meta’s fourth AI restructuring in six months highlights competition with OpenAI and Google, regulatory challenges, and low enterprise readiness – reflecting a maturing tech sector that is also adapting.

Hail the cloud: case study from GCP on how Uber — which handles more than 100,000 concurrent trips and more than a million HTTP requests per second — rearchitected its routing and architecture to improve latency.

Yondr expands: Yondr acquired a 163-acre site in Lancaster, Texas, for a 550 MW data center campus that is expected to break ground next year. It is the company’s second U.S. project and first expansion under a new CEO.

UK AIDC surge: U.K. data centers will expand nearly 20% to meet AI-driven demand, with major projects by Google, Microsoft, and Blackstone. But growth is sparking concerns over energy, water use, and consumer costs.

Energy demands: Xcel Energy faces surging data center power demand in Colorado. It estimates costs at $22 billion for 12–14 GW of expansion by 2040, but risks stranded assets and higher ratepayer costs if demand ultimately falls short.

AI hacks genes: DNA repair follows patterns. So researchers developed Pythia, an AI tool that can predict DNA repair patterns post-gene editing, and used the AI’s templates to guide genetic changes in human cell cultures, lab mice and frogs.

SoftBank’s $375M AI move: SoftBank has bought Foxconn’s Ohio factory for $375 million, converting it into an AI data center hub to accelerate the $500 billion Stargate AI project.

AI-arrgghhh!: Generative, agentic, physical AI, and AGI represent escalating capabilities that are driving transformation, disruption, risks, and urgent debates over regulation, sustainability, and societal impact.

Rolls-Royce goes nuclear: Rolls-Royce is exploring AI operations fueled by Small Modular Reactors (SMRs) to provide the necessary power. Its CEO says: “There is no private company in the world with the nuclear capability we have.”

Texas AG targets AI: Texas AG Ken Paxton has announced an investigation into AI chatbots like Meta AI Studio and Character.AI, citing concerns about manipulation of vulnerable users, and deceptive practices around data privacy.

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