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Americans Aren’t Moving Toward Data Centers, Data Centers Are Coming to Them, Realtor.com® Report Finds

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New facilities are pushing into lower-density, lower-income communities farther from major cities, but home values near newly activated data centers have so far moved in line with similar neighborhoods

AUSTIN, Texas, Aug. 11, 2026 /PRNewswire/ — A new report from Realtor.com® finds that the American home-sale market’s growing proximity to data centers is being driven by where the industry chooses to build, not by any behavioral shift among homebuyers. The share of U.S. home sales within five miles of a large (50-megawatt or larger) data center has more than doubled since 2018, rising from 0.67% to roughly 1.5% so far in 2026, as the number of large facilities operating nationwide grew more than sevenfold, from 49 to 347. Based on the full construction pipeline through 2027, that share is projected to approach 2.3% of all U.S. home sales.

The report, which draws on millions of home sales, listings and property tax records alongside facility-level data center insights from Aterio, also finds that the newest wave of large data centers is landing farther from cities, in less densely populated areas, and increasingly in communities with below-median household incomes — a reversal from the pattern that defined the early 2020s AI buildout.

“The data center buildout has moved fast and it is raising policy, community, and housing-market questions as it spreads and accelerates,” said Danielle Hale, chief economist, Realtor.com®. “Our analysis so far offers some reassurance: in the communities we studied, a new data center opening nearby wasn’t associated with meaningfully higher or lower home values than similar neighborhoods that didn’t get one. But the facilities coming online next are bigger, more remote and landing in communities with less experience managing an industrial neighbor, so that track record may not hold as a guide to what comes next.”

The Growth Is Geographic, Not Behavioral

To isolate what is driving more Americans to live near large data centers, the report models what would have happened had the data center industry stopped building in 2018. Under that scenario, the share of home sales near a large data center would sit at roughly 0.6% today, below where the market actually stands. The entire increase, in other words, traces back to facilities that didn’t exist in 2018 opening in new communities, not to more home-sale activity in neighborhoods that already had one. Housing stock turnover in ZIP codes near large data centers has tracked essentially the same as broader metro areas throughout the period, with the gap never exceeding 0.2 percentage points.

New Neighbors, Farther From the City

The physical footprint of the industry has expanded alongside its power footprint. In 2015, just 12 U.S. ZIP codes contained a large data center; by June 2026 that had grown to 108, and is on pace to reach 125 by year’s end. The land those facilities are built on looks increasingly different, too. The median large data center opening in 2026 is surrounded by roughly 70% fewer residential housing units per square mile than the median 2017 facility, and the typical 2027 opening will sit about 34 miles from its nearest major city center, 26% farther than the 2026 median of 27 miles.

Household income patterns near new data centers have shifted as well. ZIP codes receiving new large facilities ran well above the national median income from 2020 through 2023, peaking 24.7% above the median in 2023 as hyperscale investment concentrated in affluent Northern Virginia suburbs. Large data centers activated in 2026 sit in ZIP codes 2.1% below the national median income, and the 2027 construction pipeline points to communities 5.7% below the median.

“The places absorbing this next wave of data centers look different from the places that absorbed the last one,” said Glen Morgenstern, economist intern at Realtor.com®. “They tend to be lower-income, lower-density and farther from a city center, which usually also means fewer resources on hand — fewer attorneys, less organized civic engagement, and housing markets that react more slowly to new information. That doesn’t tell us those communities will be worse off, but it does mean they may be less equipped to respond if a facility turns out to be a difficult neighbor.”

Home Values Hold Steady, Listings Stay Plentiful

To test whether a large data center opening nearby affects home prices, the report compared 43 ZIP codes that gained a large data center between 2019 and 2025 against similar ZIP codes matched on pre-opening price levels and population density. In the two years following activation, home values in data center neighborhoods moved in line with their matched comparisons, with no gains or losses large enough to represent a meaningful difference. Listing prices showed a similar pattern: a small initial bump around the facility’s opening that faded within two years.

Housing inventory told a different story. Three years after a large data center opened, those ZIP codes retained 66% of their pre-opening active for-sale listings, compared with 43% for matched neighborhoods without a data center. New construction near data centers ran above the metro average in the years surrounding a facility’s opening but slipped slightly below that average by the third year.

Property tax rates near large data centers were lower than in comparison communities both before and after a facility’s arrival, a gap the report attributes to where data centers tend to be sited rather than to the facilities themselves. Effective residential tax rates near data centers ticked up modestly relative to their own pre-opening baseline over five years, while the comparison group’s rates drifted down relative to theirs — though the report cautions that county- and jurisdiction-level differences make the cause of that pattern difficult to isolate.

 As Data Centers Grow, So Do Concerns Over Power and Water

The average large data center that opened in 2018 drew about 24 megawatts of power; by 2026 that figure had climbed to 60 megawatts, meaning more generators, more cooling infrastructure and more round-the-clock truck traffic per facility. Electricity and water use are also emerging as more visible pressure points, particularly in Sun Belt markets already navigating water scarcity, and rising utility bills tied to data center demand have already drawn public attention in states including Georgia and Virginia.

In March 2026, seven major AI companies signed a Ratepayer Protection Pledge committing to cover the cost of new power supply and grid infrastructure rather than pass it on to residential customers, a commitment that has since expanded to companies representing 80% of U.S. power delivery, though it remains voluntary. The Realtor.com® report points to these dynamics, along with the industry’s shift into lower-density, lower-income and more remote communities, as reasons the modest track record on home values documented so far may be harder to sustain as the buildout continues.

Large Data Center Openings and ZIP Household Income by Activation Year

Activation Year

New Large Data Centers

Median Data Center ZIP Income
vs. National Median

2020

24

+22.3 %

2021

22

+15.5 %

2022

20

+14.1 %

2023

34

+24.7 %

2024

58

+7.4 %

2025

83

+11.0 %

2026

178

-2.1 %

2027*

212

-5.7 %

*2027 reflects the construction pipeline. 2026 includes active and construction-stage sites with estimated 2026 activation dates. Recent incomes are based on 2024 American Community Survey estimates; each ZIP code is weighted equally regardless of population size.

Methodology

Data center inventory comes from Aterio’s facility-level database as of June 30, 2026, covering U.S. facilities with at least 50 megawatts of selected power capacity and a known ZIP code; the main analyses use active facilities only, while 2026 and 2027 community-income comparisons also include construction-stage facilities. Residential proximity is measured as the straight-line distance from each home sale or listing to the nearest large data center, using Aterio facility coordinates and Realtor.com deed and listing records; sales within five miles are classified as near. The home-price event study covers 43 ZIP codes that received a large data center between 2019 and 2025, matched to comparison ZIP codes on pre-activation price level and population density, drawn from the same metro area in most cases and from the broader state for five ZIP codes in smaller markets, using Realtor.com deed records in states that publicly disclose sale prices (Texas and 11 other non-disclosure states are excluded). The property tax event study compares effective residential tax rates within three miles of a large data center against properties 10 to 25 miles away in the same state, using Realtor.com property records and activations between 2017 and 2023. The inventory event study uses annual June snapshots of active listings matched on pre-period list price, days on market and metro area. Community income figures use year-matched American Community Survey 5-year estimates and are compared against the national median household income from the Census Bureau’s Current Population Survey, retrieved via FRED.

About Realtor.com®

For over 30 years, Realtor.com® has connected buyers, sellers, and renters with trusted insights, professional guidance and powerful tools to help them find their perfect home. Recognized as the No. 1 real estate site REALTOR® agents recommend, Realtor.com® delivers consumer connections and a robust suite of marketing tools to support business growth. Realtor.com® is operated by News Corp [Nasdaq: NWS, NWSA] [ASX: NWS, NWSLV] subsidiary Move, Inc.

Media Contact: Mallory Micetich, press@realtor.com

 

View original content:https://www.prnewswire.com/news-releases/americans-arent-moving-toward-data-centers-data-centers-are-coming-to-them-realtorcom-report-finds-302847528.html

SOURCE Realtor.com

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uSMART Securities Singapore Marks Third Branch Opening in Bugis with Lion Dance and K-pop

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SINGAPORE, Nov. 14, 2026 /PRNewswire/ — uSMART Securities Singapore officially opened its third branch at 516 North Bridge Road, #01-00, Singapore 188740 expanding its physical presence in Singapore with a new uSMART Investor Hub. The opening was marked by a private ceremony featuring a speech, a traditional lion dance and a K-pop dance performance, bringing together the uSMART team, esteemed guests and partners.

The Bugis opening marks another milestone in uSMART’s expansion in Singapore, following the launch of its first local branch at Robinson Road in July 2025 and its Somerset branch in October that year. The new branch reflects the company’s approach of combining digital trading with face-to-face support, offering clients an additional location to make enquiries, receive assistance with account opening and engage directly with the team.

Speaking at the ceremony, Mr Eng Thiam Choon (TC Eng), Chief Operating Officer of uSMART, highlighted the importance of maintaining physical branches alongside digital brokerage services. Clients may appreciate the opportunity to discuss opening their first investment account, gain a better understanding of products available on the app or receive assistance with any issues.

“Customers should have a choice in how they deal with us. If they’re comfortable doing everything on the app, that’s fine. If they’d prefer to come in and talk, we want to make that possible too,” said Mr Eng.

Drawing on its experience operating branches in Hong Kong, uSMART has tailored this approach to the Singapore market through ongoing engagement and conversations with local clients.

Mr Eng also highlighted the importance of understanding different trading rules, currency exposure and diversification as investors explore more markets. Seminars and conversations with the branch team will support these learning opportunities, equipping clients with the knowledge and information they need to make informed investment decisions.

“You don’t need to come with a decision already made. You can come with a question,” said Mr Eng.

Beyond the opening celebrations, Mr Eng highlighted the importance of consistent client service through attentive listening, clear communication and following through on commitments.

About uSMART Securities (Singapore) Pte. Ltd.

Established in March 2021, uSMART Securities (Singapore) Pte. Ltd. is the Singapore entity of uSMART Group, which holds a Capital Markets Services licence issued by the Monetary Authority of Singapore (MAS) (Licence No. CMS101161).

Through the uSMART platform, the company provides access to stocks across global markets, as well as ETFs, options, futures, funds, Contracts for Difference (CFDs) and forex products. Its services include digital trading tools and client account support.

In addition to its digital trading platform, uSMART offers structured investment solutions, including Fixed Coupon Notes (FCNs), catering to investors with different investment objectives and risk preferences. Through its growing network of physical branches, the company also provides face-to-face assistance, investor education and account support, complementing its digital services.

Branch Address

uSMART Securities – Bugis Branch
516 North Bridge Road, #01-00
Singapore 188740

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SOURCE uSMART Securities (Singapore) Pte. Ltd.

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Chinese Team Drops a “Game-Changer”: Motphys Launches MotrixSim 1.0, Sparking Industry Buzz

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BEIJING, Nov. 14, 2026 /PRNewswire/ — If the global expansion of Chinese-made robots defined the hardware boom in the first half of the embodied AI race, the second half will be won by those that can bring down the high cost of real-world trial and error and make robot training more universal and accessible. In this underlying physics engine race long dominated by Western players, a Chinese team is now bringing a potential game-changer to the field.

Recently, Chinese company Motphys was invited to attend CoRL 2026, where it showcased its fully in-house embodied intelligence simulation engine—MotrixSim 1.0. In extreme benchmark tests against leading international physics engines, MotrixSim 1.0 demonstrates extraordinary capabilities: overwhelming established open-source engines in the contact and grasping test and vastly surpassing mainstream GPU-accelerated simulation platforms in training efficiency.

In the past, simulation was primarily used for error-proof verification at the end of the design phase. But in the era of embodied AI, AI requires massive amounts of interaction experience.

“Simulation once served to validate how machines perform. Now, it is where they learn how to perform,” said Zhang Heng, co-founder and CTO of Motphys. Simulation has evolved from a “post-design validation tool” into a “physical experience production system”. To power this system, Motphys builds its physics engine entirely in-house, developing the core from the ground up in Rust rather than building on existing open-source engines. This equips MotrixSim 1.0 with strong memory safety and computation power, enabling it to compete with established international players at the underlying architecture level.

True technical strength is proven in extreme tests.

In a “devil-level” disturbance-rejection grasping test where a Franka arm grasps objects of different shapes, MotrixSim 1.0 is the only engine to achieve a 100% pass rate at both 2 ms and 10 ms simulation step sizes. In the microscopic critical friction point test, MotrixSim exhibits hold-and-slip behavior near the critical friction consistent with Coulomb’s law, achieving 0mm slip distance.

In terms of compute and training efficiency. Through its unique pipeline supporting CPU/GPU parallel computation, MotrixSim can achieve a physics simulation throughput of millions of physics steps per second across 4,096 parallel environments. In a controlled comparison conducted on the G1 whole-body tracking task, under the same task environment configuration and the same RL algorithm, MotrixSim reaches the current tracking score in about 10.2 minutes of end-to-end time, while the Isaac Sim-based solution takes 130.8 minutes—a gap of about 12.8×.

Furthermore, for the Strandbeest complex closed-loop mechanism with 92 linkages, when traditional engines fail to maintain the stability of the mechanism at a large time step of 5ms, MotrixSim solves closed-loop constraints together with the multibody dynamics in generalized coordinates, so the mechanism maintains its assembly relationships during motion.

Beyond extreme physical conditions and compute, MotrixSim 1.0 has achieved breakthroughs in multimodal perception and developer experience: LiDAR simulation throughput reaches 124 million rays per second; visual synthesis maintains stable throughput even when resolution surges 16 times. In terms of developer experience and industrial deployment, MotrixSim 1.0 streamlines development with high-speed solving in a single line of code (98.42% success rate) and a “zero-conversion + AI auto-modeling” workflow. Forge is also launched as the industry’s first Blender-based extension tool, enabling AI Agents to automatically generate physics scenes.

Zhang Heng emphasized that the core proposition of Physical AI is to transform expensive and slow “real-world physical experience” into digital learning resources that can be generated at scale.

Motphys’s relevant research has been accepted to top international conferences such as RSS and CoRL, and the company has built a simulation and real-robot training center for embodied AI in China. Currently, the world’s leading physics engines primarily include Google’s MuJoCo and NVIDIA’s Isaac Sim.

View original content:https://www.prnewswire.com/news-releases/chinese-team-drops-a-game-changer-motphys-launches-motrixsim-1-0–sparking-industry-buzz-302939513.html

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HiTHIUM Partners with the University of Cambridge to Advance International Industry-Academia Collaboration in Long-Duration Energy Storage

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XIAMEN, China, Nov. 14, 2026 /PRNewswire/ — On November 12, the Global Energy Storage Colloquium was held in Xiamen. During the colloquium, HiTHIUM and the University of Cambridge signed a memorandum of understanding (MoU), establishing a strategic partnership. The two parties will collaborate on frontier scientific research, key technology innovation and industrial applications in battery energy storage, bringing academic research into closer alignment with industry needs and exploring new models for international industry-academia collaboration. The partnership aims to contribute to the advancement of global energy storage technology and the industry.

The UK has a strong track record in the development of modern battery technologies and fundamental research. The University of Cambridge is one of the world’s leading universities, with internationally recognized expertise in engineering, materials science and fundamental research. As a leading global energy storage technology company, HiTHIUM has long focused on energy storage technology development and commercialization. It continues to advance integrated research and innovation across the value chain, from high-capacity energy storage cells to long-duration energy storage systems and grid integration technologies.

The collaboration is intended to bring internationally leading academic research into closer engagement with innovation across China’s energy storage industry. The University of Cambridge’s strengths in fundamental science, materials research and engineering will offer new perspectives and approaches to key scientific questions and emerging technologies in energy storage. HiTHIUM will bring its experience in long-duration energy storage (LDES), product development and large-scale deployment, connecting research with real industry needs and application scenarios, and supporting the engineering validation and commercialization of research outcomes. By drawing on the strengths of both research and industry, the partnership will strengthen the links between frontier innovation and practical applications.

Under the cooperation plan, the two parties will establish joint management and research collaboration mechanisms, bringing together academic resources and corporate R&D capabilities. They will work together to plan research projects, facilitate scientific exchange and support the translation of research outcomes, strengthening connections between fundamental research, technology development and industrial applications so that innovation in energy storage can better serve industry needs.

The partnership also marks an important step in HiTHIUM’s efforts to expand its international innovation network. Building on this collaboration with the University of Cambridge, HiTHIUM will further strengthen academic exchanges and research partnerships with leading universities and research institutions around the world. By bringing together international research resources and talent, the company aims to encourage collaboration across disciplines and technology fields, explore the development of technologies such as LDES from a global perspective, and bring technical challenges and application needs from the front lines of industry into research and innovation. This will help research and industrial practice reinforce one another.

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SOURCE HiTHIUM

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