Elon Musk announced that both SpaceX and X will relocate headquarters to two Texas cities. Photo via Getty Images

Elon Musk vowed this week to upend another industry just as he did with cars and rockets — and once again he's taking on long odds.

The world's richest man said he wants to put as many as a million satellites into orbit to form vast, solar-powered data centers in space — a move to allow expanded use of artificial intelligence and chatbots without triggering blackouts and sending utility bills soaring.

To finance that effort, Musk combined SpaceX with his AI business on Monday, February 2, and plans a big initial public offering of the combined company.

“Space-based AI is obviously the only way to scale,” Musk wrote on SpaceX’s website, adding about his solar ambitions, “It’s always sunny in space!”

But scientists and industry experts say even Musk — who outsmarted Detroit to turn Tesla into the world’s most valuable automaker — faces formidable technical, financial and environmental obstacles.

Feeling the heat

Capturing the sun’s energy from space to run chatbots and other AI tools would ease pressure on power grids and cut demand for sprawling computing warehouses that are consuming farms and forests and vast amounts of water to cool.

But space presents its own set of problems.

Data centers generate enormous heat. Space seems to offer a solution because it is cold. But it is also a vacuum, trapping heat inside objects in the same way that a Thermos keeps coffee hot using double walls with no air between them.

“An uncooled computer chip in space would overheat and melt much faster than one on Earth,” said Josep Jornet, a computer and electrical engineering professor at Northeastern University.

One fix is to build giant radiator panels that glow in infrared light to push the heat “out into the dark void,” says Jornet, noting that the technology has worked on a small scale, including on the International Space Station. But for Musk's data centers, he says, it would require an array of “massive, fragile structures that have never been built before.”

Floating debris

Then there is space junk.

A single malfunctioning satellite breaking down or losing orbit could trigger a cascade of collisions, potentially disrupting emergency communications, weather forecasting and other services.

Musk noted in a recent regulatory filing that he has had only one “low-velocity debris generating event" in seven years running Starlink, his satellite communications network. Starlink has operated about 10,000 satellites — but that's a fraction of the million or so he now plans to put in space.

“We could reach a tipping point where the chance of collision is going to be too great," said University at Buffalo's John Crassidis, a former NASA engineer. “And these objects are going fast -- 17,500 miles per hour. There could be very violent collisions."

No repair crews

Even without collisions, satellites fail, chips degrade, parts break.

Special GPU graphics chips used by AI companies, for instance, can become damaged and need to be replaced.

“On Earth, what you would do is send someone down to the data center," said Baiju Bhatt, CEO of Aetherflux, a space-based solar energy company. "You replace the server, you replace the GPU, you’d do some surgery on that thing and you’d slide it back in.”

But no such repair crew exists in orbit, and those GPUs in space could get damaged due to their exposure to high-energy particles from the sun.

Bhatt says one workaround is to overprovision the satellite with extra chips to replace the ones that fail. But that’s an expensive proposition given they are likely to cost tens of thousands of dollars each, and current Starlink satellites only have a lifespan of about five years.

Competition — and leverage

Musk is not alone trying to solve these problems.

A company in Redmond, Washington, called Starcloud, launched a satellite in November carrying a single Nvidia-made AI computer chip to test out how it would fare in space. Google is exploring orbital data centers in a venture it calls Project Suncatcher. And Jeff Bezos’ Blue Origin announced plans in January for a constellation of more than 5,000 satellites to start launching late next year, though its focus has been more on communications than AI.

Still, Musk has an edge: He's got rockets.

Starcloud had to use one of his Falcon rockets to put its chip in space last year. Aetherflux plans to send a set of chips it calls a Galactic Brain to space on a SpaceX rocket later this year. And Google may also need to turn to Musk to get its first two planned prototype satellites off the ground by early next year.

Pierre Lionnet, a research director at the trade association Eurospace, says Musk routinely charges rivals far more than he charges himself —- as much as $20,000 per kilo of payload versus $2,000 internally.

He said Musk’s announcements this week signal that he plans to use that advantage to win this new space race.

“When he says we are going to put these data centers in space, it’s a way of telling the others we will keep these low launch costs for myself,” said Lionnet. “It’s a kind of powerplay.”

A map of U.S. data centers. Courtesy of Rice Businesses Wisdom

Your data center is either closer than you think or much farther away

houston voices

A new study shows why some facilities cluster in cities for speed and access, while others move to rural regions in search of scale and lower costs. Based on research by Tommy Pan Fang (Rice Business) and Shane Greenstein (Harvard).

Key findings:

  • Third-party colocation centers are physical facilities in close proximity to firms that use them, while cloud providers operate large data centers from a distance and sell access to virtualized computing resources as on‑demand services over the internet.
  • Hospitals and financial firms often require urban third-party centers for low latency and regulatory compliance, while batch processing and many AI workloads can operate more efficiently from lower-cost cloud hubs.
  • For policymakers trying to attract data centers, access to reliable power, water and high-capacity internet matter more than tax incentives.

Recent outages and the surge in AI-driven computing have made data center siting decisions more consequential than ever, especially as energy and water constraints tighten. Communities invest public dollars on the promise of jobs and growth, while firms weigh long-term commitments to land, power and connectivity.

Against that backdrop, a critical question comes into focus: Where do data centers get built — and what actually drives those decisions?

A new study by Tommy Pan Fang (Rice Business) and Shane Greenstein (Harvard Business School) provides the first large-scale statistical analysis of data center location strategies across the United States. It offers policymakers and firms a clearer starting point for understanding how different types of data centers respond to economic and strategic incentives.

Forthcoming in the journal Strategy Science, the study examines two major types of infrastructure: third-party colocation centers that lease server space to multiple firms, and hyperscale cloud centers owned by providers like Amazon, Google and Microsoft.

Two Models, Two Location Strategies

The study draws on pre-pandemic data from 2018 and 2019, a period of relative geographic stability in supply and demand. This window gives researchers a clean baseline before remote work, AI demand and new infrastructure pressures began reshaping internet traffic patterns.

The findings show that data centers follow a bifurcated geography. Third-party centers cluster in dense urban markets, where buyers prioritize proximity to customers despite higher land and operating costs. Cloud providers, by contrast, concentrate massive sites in a small number of lower-density regions, where electricity, land and construction are cheaper and economies of scale are easier to achieve.

Third-party data centers, in other words, follow demand. They locate in urban markets where firms in finance, healthcare and IT value low latency, secure storage, and compliance with regulatory standards.

Using county-level data, the researchers modeled how population density, industry mix and operating costs predict where new centers enter. Every U.S. metro with more than 700,000 residents had at least one third-party provider, while many mid-sized cities had none.

ImageThis pattern challenges common assumptions. Third-party facilities are more distributed across urban America than prevailing narratives suggest.

Customer proximity matters because some sectors cannot absorb delay. In critical operations, even slight pauses can have real consequences. For hospital systems, lag can affect performance and risk exposure. And in high-frequency trading, milliseconds can determine whether value is captured or lost in a transaction.

“For industries where speed is everything, being too far from the physical infrastructure can meaningfully affect performance and risk,” Pan Fang says. “Proximity isn’t optional for sectors that can’t absorb delay.”

The Economics of Distance

For cloud providers, the picture looks very different. Their decisions follow a logic shaped primarily by cost and scale. Because cloud services can be delivered from afar, firms tend to build enormous sites in low-density regions where power is cheap and land is abundant.

These facilities can draw hundreds of megawatts of electricity and operate with far fewer employees than urban centers. “The cloud can serve almost anywhere,” Pan Fang says, “so location is a question of cost before geography.”

The study finds that cloud infrastructure clusters around network backbones and energy economics, not talent pools. Well-known hubs like Ashburn, Virginia — often called “Data Center Alley” — reflect this logic, having benefited from early network infrastructure that made them natural convergence points for digital traffic.

Local governments often try to lure data centers with tax incentives, betting they will create high-tech jobs. But the study suggests other factors matter more to cloud providers, including construction costs, network connectivity and access to reliable, affordable electricity.

When cloud centers need a local presence, distance can sometimes become a constraint. Providers often address this by working alongside third-party operators. “Third-party centers can complement cloud firms when they need a foothold closer to customers,” Pan Fang says.

That hybrid pattern — massive regional hubs complementing strategic colocation — may define the next phase of data center growth.

Looking ahead, shifts in remote work, climate resilience, energy prices and AI-driven computing may reshape where new facilities go. Some workloads may move closer to users, while others may consolidate into large rural hubs. Emerging data-sovereignty rules could also redirect investment beyond the United States.

“The cloud feels weightless,” Pan Fang says, “but it rests on real choices about land, power and proximity.”

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This article originally appeared on Rice Business Wisdom. Written by Scott Pett.

Pan Fang and Greenstein (2025). “Where the Cloud Rests: The Economic Geography of Data Centers,” forthcoming in Strategy Science.

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UH med school granted $2M gift to offer student scholarships

scholarship gift

A new scholarship endowment aims to support students in the University of Houston’s recently established medical school.

The University of Houston’s Tilman J. Fertitta Family College of Medicine received a planned estate gift commitment estimated at $2.1 million to establish the Bob Diehl and Teresa Evans Diehl Scholarship Endowment. The scholarship will assist full-time medical students who demonstrate financial need and meet academic standards.

“Endowed scholarships like this do more than ease the burden of tuition—they empower our students to focus on learning, leadership and compassionate care,” Jonathan McCullers, UH vice president of health affairs and dean of the Fertitta College of Medicine, said in a news release. “We are deeply grateful to the Diehls for their vision and commitment to expanding access to health care through education.”

The endowment aims to provide annual scholarship support for students enrolled in the Fertitta College of Medicine. The gift also aligns with the university's fundraising initiative focused on expanding opportunities for students, known as Can’t Stop Houston: The Centennial Campaign, which works to expand research ahead of UH’s 100th anniversary next year.

The Diehls are both graduates from UH, and Bob Diehl spent 38 years working at UPS.

“It brings me happiness to know that my endowment will make a difference in young people's lives and in the communities that will need those future doctors,” he said in the release.

The Fertitta College of Medicine welcomed its inaugural class of 30 students in 2020 and expects classes to grow to 120 students in the coming years, according to UH. The university believes scholarship opportunities will be crucial for students to pursue medical education despite financial challenges.

“The Diehl family’s generosity will open doors for talented future physicians who are called to serve our communities but may otherwise face financial barriers to pursuing a medical education,” McCullers added.

9 Houston universities boast best grad programs of 2026, per U.S. News

making the grade

Nine Houston-area universities are earning new national acclaim in a report of the best graduate schools in the U.S. for 2026.

U.S. News & World Report annually publishes its national "Best Graduate Schools" rankings in early April, which comprehensively rank graduate programs across business, education, engineering, law, health, and many others.

New for the 2026 edition, the publication updated its rankings across 12 health disciplines — only physician assistant and social work were excluded — and "the first full refresh" of doctoral science programs since 2022. U.S. News also revived its Master's in Fine Arts rankings for the first time since 2020.

"We know a graduate degree is a major commitment,” said LaMont Jones, Ed.D., managing editor of Education at U.S. News. “That is why we are dedicated to methodologies that thoroughly examine a wide range of factors, from research excellence to career success. These rankings are a powerful tool for prospective students, offering clarity and confidence as they approach their most critical educational choice."

This is how the nine local schools ranked, statewide and nationally, and how they compared with last year's national ranking:

Rice University

  • Brown School of Engineering – No. 3 best graduate engineering school in Texas; No. 25 nationally (up from No. 26 last year)
  • Jones Graduate School of Business – No. 3 best business school in Texas; No. 29 nationally (unchanged)

Several of Rice’s doctoral science programs were among the 30 best in the country, including earth sciences (No. 20), chemistry (No. 22), biostatistics (No. 25), mathematics (No. 26), statistics (No. 27), and physics (No. 28). The Ph.D. biological sciences program tied as 55th best nationwide. Rice’s public affairs program tied for No. 107 nationally.

University of Houston

  • Cullen College of Engineering – No. 5 best graduate engineering school in Texas; tied for No. 71 nationally (up from No. 72 last year)
  • College of Education – No. 5 best graduate education school in Texas; No. 95 nationally (down from No. 81 last year)
  • UH Law Center – No. 5 best law school in Texas; No. 54 nationally (up from No. 63 last year)

The University of Houston has the 31st best pharmacy program in the country, its speech-language pathology program tied for No. 54 nationally, and the clinical psychology program tied as 65th best in the U.S. In the doctoral sciences rankings, UH’s earth sciences program ranked No. 80 nationally, the physics program tied for No. 81, the chemistry program ranked 84th, and the mathematics program ranked No. 87. The Ph.D. biological sciences program ranked as the 104th best in the nation. UH’s public affairs program tied as 80th best nationally. The university also has the 106th best fine arts program in the nation.

University of Houston, Clear Lake

  • College of Education – No. 12 best graduate education school in Texas; No. 164 nationally (up from No. 166 last year)

University of Texas Health Science Center (UT Health Houston)

  • Cizik School of Nursing – No. 2 best master’s in nursing program in Texas; No. 32 nationally (up from No. 41 last year)
  • McGovern Medical School – Tier 2 best research medical school in the U.S.

UT Health Houston’s public health program tied for No. 31 nationwide, and the health care management program tied for No. 47. The Cizik School of Nursing’s nurse anesthesia program tied as 49th best in the country. In the doctoral sciences rankings, the university’s biostatistics program tied as the 25th best nationwide.

University of Texas Medical Branch, Galveston

  • Sealy School of Medicine – Tier 2 best medical research school in the U.S.

UT Medical Branch’s occupational therapy program tied for No. 41 nationally, the physical therapy program tied for No. 57, and the university tied for the 60th best nurse anesthesia program in the U.S. The public health program tied for No. 89 nationally. In the doctoral sciences rankings, the university’s biostatistics program tied for No. 70 nationally.

Prairie View A&M University

  • College of Nursing – No. 5 best master’s in nursing program in Texas; No. 104 nationally (unchanged)

South Texas College of Law Houston

  • No. 7 best law school in Texas; No. 128 nationally (up from No. 138 last year)

Texas Southern University

  • College of Education – No. 17 best graduate education school in Texas; No. 219 nationally (down from No. 178-195 last year)

TSU’s pharmacy program tied for No. 120 nationally.

University of Texas MD Anderson
UT MD Anderson’s doctoral biostatistics program tied as the 17th best nationally, and the doctoral biological sciences program tied for No. 50.

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This article originally appeared on CultureMap.com.

Houston medtech firm secures $30M for neurosurgical robot

stroke surgery

Robotic neurosurgery is an exciting new frontier in medicine, and Houston-based medtech firm XCath is leading the charge with its revolutionary Iris robotic system. The company announced in March that it had secured $30 million in Series C funding to continue developing systems to tackle blood clots in the human brain.

“We are grateful to our investors for their conviction in our shared mission to improve clinical outcomes for patients impacted by endovascular diseases,” Eduardo Fonseca, CEO of XCath, said in a news release. “In 2025, the XCath team advanced the frontiers of endovascular robotics. This funding accelerates our commitment to expanding access to life-saving care so that where a patient lives no longer determines whether they live.”

XCath–which also has campuses in Pangyo, South Korea–has already achieved a number of remarkable firsts in robotic neurosurgery. The Iris is the only endovascular robotic system currently in development to perform intracranial navigation or neurointerventional treatment, and is the only robot in the world to have performed an intracranial neurovascular procedure involving the robotic manipulation of three devices.

These new Series C funds, which bring the company's total investment to $92 million, will go toward developing a clinical telerobot capable of performing a mechanical thrombectomy. This would bring unprecedented accuracy and precision to the surgical removal of brain clots, significantly reducing the risk of neurosurgery.

“Robotic surgery succeeds when innovation is paired with practical execution,” Dr. Fred Moll, chairman of the XCath board of directors, said in the release. “XCath has built a promising technology foundation, and just as importantly, a team that values rigor and appreciates perspective. I’m excited to support them as they take on the mission of globalizing access to gold-standard care for stroke patients.”

In November 2025, the Iris debuted under the control of Dr. Vitor Mendes Pereira at The Panama Clinic in Panama City, alongside local Principal Investigator Dr. Anastasio Ameijeiras Sibauste. It was only the second time in human history that a robot had been used for intracranial neurovascular intervention, and it established Iris as a viable technology in the fight against stroke.

“Treatment of stroke and other neurovascular diseases represents one of the most significant financial opportunities in healthcare, supported by positive reimbursement dynamics and strong demand from health systems,” Nicholas Drysdale, CFO of XCath, added in the release. “With our continued investor support and disciplined capital deployment, XCath is positioned to build a category-leading platform in endovascular robotics”.