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

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

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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Search trends predict future retail revenue up to three quarters in advance. Photo via Pexels

Forecasting retail sales just got smarter, thanks to Google searches

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Imagine being able to predict the future of retail sales — not with months-old economic reports, but with real-time digital breadcrumbs left behind by consumers. Thanks to new research from K. Ramesh (Rice Business) and Gary Lind (University of Pittsburgh), that future is already here.

Key findings

  • Search trends predict future retail revenue — up to three quarters ahead.
  • Markets don’t fully price in search-based insights, especially before earnings announcements.
  • Trading strategies using search data outperform traditional asset-pricing models by 2–3%.
  • Analysts often underuse this data, resulting in predictable forecast errors.
  • At the macro level, search trends closely track — and often lead — official retail sales and GDP.

Their study shows that Google search trends are powerful predictors of consumer demand, capable of forecasting U.S. retail sales up to three quarters in advance. The implications span industries and audiences — from Wall Street traders to Main Street retailers, and from data-driven CFOs to curious business students.

A smarter, faster crystal ball for retail demand

Retail sales drive nearly 70% of U.S. gross domestic product (GDP), making them one of the most important indicators of economic health. Yet traditional forecasting relies heavily on backward-looking data and broad economic indicators. Ramesh and Lind’s work offers a leap forward: search data from Google Trends — publicly available and easy to use — can offer a faster, more precise signal of where sales are headed.

“If you want to understand consumer demand,” says Ramesh, the Herbert S. Autrey Professor of Accounting at Rice Business, “look at what people are searching for — not just what companies report after the fact. These digital footprints can tell us where revenue is going, often before the market catches up.”

This low-cost approach stands in stark contrast to expensive alternatives, such as satellite images of parking lots, in-store foot traffic from mobile data, or retail scanner feeds — tools often reserved for hedge funds and large institutional investors. Google Trends offers a scalable, accessible option for anyone seeking insight into consumer behavior.

Why this matters for investors and analysts

The researchers analyzed search patterns for nearly 200 publicly traded U.S. retail companies between 2004 and 2019. They found that firms with rising search volumes tend to report higher revenues — often well before analysts or investors react.

In fact, investment strategies built around these trends earned 2–3% higher returns than traditional models would predict. And most of these gains were concentrated around earnings announcements — a sign that markets were slow to recognize what search data had already revealed.

The advantage is even more striking for companies that fly under Wall Street’s radar. For firms with limited analyst coverage, the predictive power of search data on stock performance was more than 80% stronger.

A new tool for analysts — if they’ll use it

Despite the clear signal in the data, the study finds that analysts routinely fail to incorporate search-based insights into their forecasts. That gap translates into missed revenue predictions and market inefficiencies — which sophisticated investors can exploit.

“The search data are out there,” says Lind, a Rice Business Ph.D. ’19 graduate now on faculty at Pitt Business. “They’re public, powerful, and free. Analysts who ignore them are missing an opportunity.”

The impact of this research extends well beyond equity markets. By aggregating Google search data across the retail sector, the authors found strong alignment with U.S. Census retail sales figures and GDP trends. In other words, these digital signals reflect not just firm-level interest, but macroeconomic momentum.

A data wake-up call

This makes search trends a potentially valuable early-warning system for policymakers, central banks, and anyone responsible for interpreting the economic landscape. During volatile or uncertain periods, such tools could offer precious foresight into shifting consumer behavior.

In a digital era where consumers research before they shop — whether online or in-store — it’s no surprise that their Google queries leave valuable clues. What’s surprising is how often businesses, investors, and even economists still overlook them, Ramesh says. “Search data is a goldmine. And it's just sitting there, waiting to be used.”

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This article originally appeared on Rice Business Wisdom.

Lind and Ramesh, “Using Internet Search Data to Predict Aggregate Retail Sales and Enhance Firm-Level Revenue Expectations,” Contemporary Accounting Research (April 2025): 1-32. https://doi.org/10.1111/1911-3846.13043.

There's no crystal ball, but this researcher from Rice University is trying to see if some metrics work for economic forecasting. Photo via Getty Images

Houston researcher tries to crack the code on the Fed's data to determine economic outlook

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Research by Rice Business Professor K. Ramesh shows that the Fed appears to harvest qualitative information from the accounting disclosures that all public companies must file with the Securities and Exchange Commission.

These SEC filings are typically used by creditors, investors and others to make firm-level investing and financing decisions; and while they include business leaders’ sense of economic trends, they are never intended to guide macro-level policy decisions. But in a recent paper (“Externalities of Accounting Disclosures: Evidence from the Federal Reserve”), Ramesh and his colleagues provide persuasive evidence that the Fed nonetheless uses the qualitative information in SEC filings to help forecast the growth of macroeconomic variables like GDP and unemployment.

According to Ramesh, the study was made possible thanks to a decision the SEC made several years ago. The commission stores the reports submitted by public companies in an online database called EDGAR and records the IP address of any party that accesses them. More than a decade ago, the SEC began making partially anonymized forms of those IP addresses available to the public. But researchers eventually figured out how to deanonymize the addresses, which is precisely what Ramesh and his colleagues did in this study.

"We were able to reverse engineer and identify those IP addresses that belonged to Federal Reserve staff," Ramesh says.

The team ultimately assembled a data set containing more than 169,000 filings accessed by Fed staff between 2005 and 2015. They quickly realized that the Fed was interested only in filings submitted by a select group of industry leaders and financial institutions.

But if Ramesh and his colleagues now had a better idea of precisely which bellwether firms the Fed focused on, they still had no way of knowing exactly what Fed staffers had gleaned from the material they accessed. So the team decided to employ a measure called "tone" that captures the overall sentiment of a piece of text – whether positive, negative, or neutral.

Building on previous research that had identified a set of words with negatively toned financial reports, Ramesh and his colleagues examined the tone of all the SEC filings accessed by Fed staff between one meeting of the Federal Open Markets Committee (FOMC) and the next. The FOMC sets interest rates and guides monetary policy, and its meetings provide an opportunity for Fed officials to discuss growth forecasts and announce policy decisions.

The researchers then examined the Fed's growth forecasts to see if there was a relationship between the tone of the documents that Fed staff examined in the period between FOMC meetings and the forecasts they produced in advance of those meetings.

The team found close correlations between the tone of the reports accessed by the Fed and the agency’s forecasts of GDP, unemployment, housing starts and industrial production. The more negative the filings accessed prior to an FOMC meeting, for example, the gloomier the GDP forecast; the more positive the filings, the brighter the unemployment forecast.

Ramesh and his colleagues also compared the Fed's forecasts with those of the Society of Professional Forecasters (SPF), whose members span academia and industry. Intriguingly, the researchers found that while the errors in the SPF's forecasts could be attributed to the absence of the tonal information culled from the SEC filings, the errors in the Fed’s forecasts could not. This suggests both that the Fed was collecting qualitative information that the SPF was not—and that the agency was making remarkably efficient use of it.

"They weren’t leaving anything on the table," Ramesh says.

Having solved one mystery, Ramesh would like to focus on another; namely, how does the Fed identify bellwether firms in the first place?

Unfortunately, the SEC no longer makes IP address data publicly available, which means that Ramesh and his colleagues can no longer study which companies the Fed is most interested in. Nonetheless, Ramesh hopes to use the data they have already collected to build a model that can accurately predict which firms the Fed is most likely to follow. That would allow the team to continue studying the same companies that the Fed does, and, he says, “maybe come up with a way to track those firms in order to understand how the economy is going to move.”

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This article originally ran on Rice Business Wisdom and was based on research from K. Ramesh is Herbert S. Autrey Professor of Accounting at Jones Graduate School of Business at Rice University.

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4 Houston health tech startups advancing medical innovation

meet the finalists

Houston has been driving medical innovation for decades. And thanks to leading hospitals, cutting-edge research and breakthrough technologies, the region’s healthcare ecosystem continues to improve how patients are diagnosed, treated and cared for.

The Health Tech Business category in our 2025 Houston Innovation Awards will honor an innovative startup within the health and medical technology sectors.

Four forward-thinking businesses have been named finalists for the 2026 award. This year's finalists, selected by our esteemed panel of judges, range from a startup developing miniaturized medical technologies for space to a company using AI to help develop cancer treatment plans.

Read more about these businesses, their innovative founders, and how they're shaping the future of health care below.. The 2026 winners will be announced on InnovationMap.com in mid-November.

Bairitone Health

Bairitone Health is bringing anatomy imaging for sleep apnea to the home environment. The company's platform maps users' anatomy during natural sleep using a facial patch to determine the root cause of airway obstruction. It then offers effective therapies for each patient.

The company was founded in 2022 in the Texas Medical Center's Biodesign program by CEO Meagan Pitcher, CTO Onur Kilic and chief medical officer Britt Cross. It was a member of Activate Houston's inaugural cohort and has participated in numerous accelerators and incubators. The company raised an oversubscribed seed round for $2.4 million earlier this year and received Breakthrough Device Designation from the Food and Drug Administration in April.

InformAI Inc.

InformAI Inc. develops fit-to-purpose AI solutions for the clinical setting. Its RadOncAI product recently received FDA 510(k) clearance. The product uses AI to create a first-pass radiation therapy dose plan for complex head and neck cancers in an effort to eliminate bottlenecks in radiation planning and ultimately cancer treatment. The company has also developed AI products for sinus disease detection and 3D organ reconstruction.

CEO Jim Havelka founded the company in 2017. It is participating in the Mayo Clinic Accelerate Platform. It has raised about $4 million in seed funding and has received numerous non-dilutive grants from the National Science Foundation, the National Institutes of Health and the Cancer Prevention and Research Institute of Texas. The company shared in its application that it plans to launch a Series A fundraising round and submit an FDA 510K application for its organ reconstruction product, Voluquant, by the end of 2026.

Prana Surgical

Prana Surgical is developing a minimally invasive surgical platform for small, hard-to-reach lung nodules that may be cancerous. The company's Prana System cleared U.S. Food and Drug Administration (FDA) approval earlier this year.

Prana Surgical was originally founded as Prana Thoracic in 2022. It has participated in numerous accelerators, including the Texas Medical Center Innovation Accelerator in 2023 and the IGNITE Health accelerator in 2022. It raised $6 million in Series A funding rounds in 2023 and 2024 , with a Series B currently ongoing. The company said in its application that it is currently moving into the next stage of clinical validation and revenue generation in the U.S., in addition to preparing its manufacturing and commercial infrastructure for broader use.

Skybound MedTech

Skybound MedTech develops technologies that aim to address the health risks of long-duration spaceflight. Its compact, miniaturized medical technologies can deliver complex therapies without a physician.

CEO Matthew Kuhn, who previously founded Taurus Vascular, founded Skybound last year. The company emerged from stealth in January after raising a $1.25 million Series A round. It plans to advance its lead dual-use platform into critical preclinical validation in November, the company shared in its application. It is currently raising a $25 million Series A round and is pursuing federal research partnerships with DARPA and ARPA-H.

Generation Park lands new facility to scale xeno-organ production

Organ innovation

Maryland-based United Therapeutics Corp. has opened a new 77,448-square-foot facility to manufacture xeno-organs in Northeast Houston’s growing biotech hub, Generation Park.

The new Houston location is United Therapeutics’ third Designated Pathogen-Free (DPF) site, named for transplant pioneers Dr. Bartley P. Griffith and Dr. Robert A. Montgomery. The company says the new facility will enable it to scale commercial production of its xeno-organs once they receive regulatory approval.

An existing DPF facility in Virginia is supporting clinical trials for the xeno-organs, and a third site in Minnesota will also focus on commercialization with the Houston site, according to the company.

Xeno-organs are organs taken from a non-human animal source and transplanted, implanted or infused into a human recipient.

Currently, United Therapeutics is advancing clinical trials to support a Biologics License Application with the U.S. Food and Drug Administration for its investigational-stage xenotransplantation, UKidney, UThymoKidney and UHeart products. The products all involve working with the genes from humans and pigs.

In 2025, Chron.com reported the company was working to construct an estimated $96 million facility to breed genetically engineered animals. Head of investor relations at United Therapeutics Dewey Steadman told the Houston Business Journal in 2025 that the pigs’ DNA will be edited. In November 2024, a 53-year-old woman in Alabama received a transplanted kidney from UKidney that had 10 gene edits. She had the transplant removed in April 2025, after her body rejected it.

The Dr. Bartley P. Griffith and Dr. Robert A. Montgomery Xenograft Production Facility requires a “strictly controlled, biosecure barrier environment, including air filtration, filtered water, filtered feed supplies, and state-of-the-art decontamination entryways,” according to the company. Being pathogen-free means it includes calibrated air and water conduits to support the transplantability of xenograft products and to prevent contamination. For energy considerations, the building also features solar arrays.

“With our third xenograft production facility now open and clinical trials underway, United Therapeutics is moving closer to its goal of providing transplantable organs to the people who need them,” Martine Rothblatt, chairperson and CEO of United Therapeutics, said in a news release. “It is fitting that this facility is named for Dr. Griffith and Dr. Montgomery, whose first-in-human surgeries turned xenotransplantation from a theoretical possibility into a clinical reality.”

The facility, which wrapped construction in August, is located at 11848 Common Dock Dr. in Generation Park, which will house manufacturing sites for pharmaceutical heavyweights Bristol Myers Squibb and Eli Lilly. Last fall, Eli Lilly tapped Generation Park for its $6.5 billion manufacturing plant, and Bristol Myers Squibb made a $2.3 billion investment in August to bring its state-of-the-art site to the master-planned commercial district.

Elon Musk's SpaceX reports profit as AI and satellite businesses booms

Booming Business

SpaceX reported a bigger quarterly profit than expected on Tuesday, October 20, as its satellite communications and artificial intelligence businesses boomed.

The company, run by Elon Musk, posted a profit for the three months through September 2026 of $4.4 billion, or 35 cents per share, reversing a year-ago loss and easily topping Wall Street's expectations. Revenue soared to $14.6 billion, up 161%.

On a conference call with analysts, Musk suggested a merger with his electric car company Tesla might be in the works, something that has been rumored for months. He said both companies formed “special committees” of independent directors to discuss the issue, though he played down the chances of an imminent deal.

“Some people out there assume that a SpaceX and Tesla merger is a certainty,” he said. “I think that would be overstating it.”

The AI business became SpaceX's largest by revenue in the third quarter, although the Starlink satellite service remains the biggest profit generator.

“They beat across all metrics and the Starlink business looks to be accelerating,” said Dan Ives, an analyst at Yorkville Ives. “This is just what (Wall) Street wanted.”

The stock rose 7.5% in after-hours trading.

Musk also told analysts that for next month's launch of its Starship rocket, SpaceX will attempt to grab both the booster and ship with mechanical arms upon return to base, a key step toward demonstrating it can reuse the massive spacecraft.

“The only way that we can extend consciousness beyond Earth on a sustained basis is with a fully reusable orbital launch vehicle,” Musk said, calling the attempt, if successful, “a massive technology milestone.”

SpaceX hopes to get Starship on a regular launch pattern in preparation for NASA's upcoming lunar missions.

The company already has huge contracts with the federal government, and House Democrats have called for investigations into those contracts and Musk’s work with the Department of Government Efficiency. Musk has spent $276 million since July in support of Republican candidates.

In a filing for its initial public offering in June, SpaceX warned that a change in control of Congress could have a “material and adverse impact on our growth and competitive position.”

Musk recently drew criticism from politicians in Washington after speeds for a military version of SpaceX's satellite communications service were slowed for Ukraine following President Donald Trump's deal to get more diesel oil from Russia amid a push to end the war. The Wall Street Journal reported Tuesday that it was Musk who ordered the slowdown, impeding Ukraine’s use of drones along the front. SpaceX did not immediately respond to an Associated Press request for comment on the Journal story.

Both Trump and Musk have denied responsibility for the slowdown.

As midterm elections near, Musk on Monday promised to give one share of SpaceX to “every kid in America” next year, though he provided no details on how the distribution would be carried out. With communities nationwide protesting the construction of large data centers and concerns about AI safety, AI companies are trying to build goodwill. Anthropic pledged to commit 5% of its shares to a new “public benefit” fund.

SpaceX shares have been under pressure over concerns that the company was spending too much on major projects to compete with rivals such as Anthropic. The company said capital expenditures totaled $19.6 billion last quarter, nearly triple the figure from a year earlier, and it forecast spending would grow to $35 billion to $40 billion in the current quarter.

Shares of SpaceX closed Tuesday at $147.79, down from a peak near $201 after its IPO, which made Musk the world’s first trillionaire at the time. But the share prices for SpaceX and Tesla have since dropped, reducing his net worth to $925 billion, according to Forbes magazine.

Tesla reports third-quarter financial results Wednesday. Last week, Tesla unveiled a new Roadster sports car that in some versions may include thrusters allowing it to briefly fly using SpaceX technology — though experts say anything usable for drivers is a long shot.

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