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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

 

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Tencent Cloud and Teleport Collaborate to Advance AI-Powered Cross-Border Logistics from China

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SHENZHEN, China, Nov. 13, 2026 /PRNewswire/ — At the 2026 Tencent Global Digital Ecosystem Summit, Tencent Cloud, the cloud business of global technology company Tencent, signed a Memorandum of Understanding (MOU) with Teleport, Capital A’s logistics venture and leading Southeast Asian eCommerce logistics specialist. Under the MOU, Tencent Cloud will provide the cloud infrastructure for Teleport’s operations in China, while Teleport will leverage Tencent Cloud’s artificial intelligence (AI) to build smarter, more automated logistics operations for cross-border movement from China.

The Teleport Network: Built for Cross-Border eCommerce

Teleport moves eCommerce and cargo on Southeast Asia’s largest air network, moving up to 1.25 million parcels a day across the Teleport Network, connecting China, Southeast Asia, Oceania and the Middle East by leveraging the freighter and belly capacity of over 55 airline partners. Operating at this scale demands seamless orchestration, which begins with ensuring every single parcel moves with verified, accurate data. The partnership with Tencent Cloud anchors shipment data on a reliable digital foundation from the first mile and ensures every subsequent process from customs clearance to mid-mile multi-airline transfers runs on timely, accurate information.

Supporting the Next Phase of Growth for Cross-Border Logistics

As global cross-border e-commerce accelerates, managing operational complexity requires moving beyond passively monitoring shipments. Backed by deep ecosystem experience in China and across global markets, the partnership with Tencent Cloud will make it easier for Chinese marketplaces, shippers and regional partners to integrate and collaborate seamlessly. This establishes a unified, single source of truth across the supply chain, giving Teleport, its airline partners and its eCommerce customers identical real-time tracking from origin to destination.

Accelerating AI Adoption Across Logistics Operations

Building on this Cloud data foundation, Teleport is exploring a suite of Tencent Cloud AI solutions to advance operational efficiency.

Tencent Cloud Agent Development Platform (ADP): Enables Teleport to build and deploy purpose-built AI agents across core operational workflows, including automated route optimisation, customs document processing, dynamic capacity planning, and real-time disruption recovery.TokenHub: Provides flexible access to different AI models, helping Teleport balance capability, responsiveness and cost efficiency across AI applications.WorkBuddy: Enhances internal operations and knowledge access through multi-agent workflows, enabling teams to collaborate more efficiently.eKYC & identity verification: Strengthens verification and onboarding workflows for cross-border merchants, air cargo partners, and ground handling agents, reinforcing compliance and security across the network.

Poshu Yeung, Senior Vice President of Tencent Cloud and Head of Tencent Cloud International, said: “As cross-border commerce continues to create new opportunities across Asia and beyond, logistics providers are increasingly looking for technologies that can help improve efficiency, strengthen resilience and support growth across multiple markets. Through our collaboration with Teleport, we are combining Tencent Cloud’s infrastructure and AI capabilities with Teleport’s logistics expertise to help move the Teleport Network beyond visibility towards intelligent decision-making and execution, enabling greater operational agility across its cross-border logistics network.”

Milan Dhingra, Chief Product Technology Officer of Teleport, said: “Teleport will always be a physical air logistics business, but we run digital first. Therefore it is key that we work with the right partners in the right market where mission critical cargo data need to flow, where their expertise is unmatched. China has its own digital ecosystem and we wanted a partner that understands Teleport’s vision for seamless orchestration and intelligence while being purpose-built for local requirements. Tencent Cloud is that partner for us in China.”

Making the Teleport Network Smarter

This strategic collaboration reflects a shared commitment to advance the development of cross-border logistics through cloud and AI technologies. By pairing Teleport’s logistics expertise with Tencent Cloud’s infrastructure and AI capabilities, both companies aim to turn operational data into real-time, actionable intelligence across the Teleport Network enabling reliable, scalable eCommerce movement across the region.

About Tencent Cloud

Tencent Cloud, one of the world’s leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation. 

About Teleport

Teleport is an integrated eCommerce logistics specialist operating the largest, yet asset-light, air network in Southeast Asia. We are on a mission to move things across the region faster, cheaper and better than anyone else – by giving access to affordable and reliable cross-border delivery for all big and small businesses, as fast as next-day. Teleport is a logistics venture of Capital A, with a presence across Malaysia, Singapore, Thailand, Indonesia, Philippines, Chinese Mainland, Chinese Hong Kong and India.

For more information, please visit teleport.it or our social media on LinkedIn, and Instagram.

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SOURCE Tencent Cloud

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DATA.BET Now Powers Sportradar’s Unified Odds Feed

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Delivering a full esports betting toolset, from Tier-1 majors to Tier-4 tournaments across key disciplines

LIMASSOL, Cyprus, Nov. 13, 2026 /PRNewswire/ — DATA.BET, a trusted sportsbook solution supplier, has signed a deal with Sportradar, a leading global sports technology company, to become one of the partnered providers for its expanded offering.

Through the integration, Sportradar receives DATA.BET’s esports data content and performance-boosting toolset cover 1,800+ tournaments and 94,000+ matches annually across 60+ markets. Widgets and Streaming are set to follow, giving operators a fuller esports experience around headline events and niche competitions.

As a part of the deal, DATA.BET covers Counter-Strike 2, Dota 2, League of Legends, from Tier-1 to Tier-4 tournaments, with Valorant and other titles set to follow shortly. For DATA.BET, the deal marks a significant step in its global expansion and reinforces its position as a trusted esports Odds Feed supplier to the largest names in the industry.

“Becoming a supplier for Sportradar’s esports offering reflects the trust that the industry’s biggest players place in our content and products,” said Otto Bonning, Head of Sales at DATA.BET. “We’re confident in our coverage depth, speed, and trading expertise. This deal also opens a new route for our content, from Tier-1 majors to lower-tier tournaments running around the clock, to reach users around the world.”

Roman Garin, SVP, Innovation at Sportradar, said: “Esports’ fully digital nature creates an expectation for fast, deep live betting experiences. The providers that have built the market across Counter-Strike 2, Dota 2 and League of Legends each bring their own strengths and trading style, and the best fit can differ from title to title. By bringing them together through our Unified Odds Feed, we’re giving operators greater choice and flexibility through a single integration, and we’ll continue adding providers and titles as the market evolves.” 

About DATA.BET

DATA.BET is a sportsbook technology supplier established in 2017, delivering solution across sports, esports, virtual competitions, and prediction markets. Its portfolio includes Odds Feed, Risk Management, Single Page Application (iFrame), Bet Builder, Widgets, Streaming, and a range of player-engaging features. The company combines AI-powered capabilities with 24/7 in-house trading expertise, 99.99% system uptime, 97% markets uptime, and licensed content. DATA.BET provides coverage of 100+ disciplines, 150k+ monthly events, and 3,000+ markets, supporting betting operators, online casinos, and platform providers with scalable offerings and reliable sportsbook infrastructure.

About Sportradar

Sportradar Group AG (NASDAQ: SRAD), founded in 2001, is a leading global sports technology company creating immersive experiences for sports fans and bettors. Positioned at the intersection of the sports media and betting/gaming industries, Sportradar provides betting and iGaming operators, media and technology companies, prediction market partners, and sports federations with a best-in-class range of solutions to help grow their businesses. Trusted by the world’s leading global sports organizations, including the ATP, NBA, WNBA, NHL, MLB, MLS, PGA TOUR, UEFA, FIFA, CONMEBOL, AFC, and the Bundesliga, and global clients including Flutter, DraftKings, Google, Microsoft, Kalshi, and Polymarket, Sportradar covers more than a million events annually across all major sports. Sportradar is not just redefining the sports fan experience; it also safeguards sports through its Integrity Services division and advocacy for an integrity-driven environment for all involved.

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Biel Crystal Named to 2025 Forbes China Novel Intelligent Economy Selection

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HONG KONG, Nov. 13, 2026 /PRNewswire/ — Forbes, the global business magazine, has named Biel Crystal to its “2025 Forbes China Novel Intelligent Economy Selection,” citing the company’s deep implementation and innovation breakthroughs in smart manufacturing and industrial large models.

Biel Crystal, a leading global provider of exterior structural components and module solutions for smart devices, operates nine smart manufacturing bases worldwide. It has more than 100,000 employees and annual capacity of more than 2.5 billion units. The company has fully deployed industrial AI large models using an architecture purpose-built for industrial scenarios, embedding industrial characteristics at the foundation and spanning R&D and design, manufacturing, finished-product inspection, operations management and maintenance services.

The most representative applications are in three industrial scenarios: production, R&D and quality inspection. In production, Biel Crystal has more tightly integrated machine learning with industrial simulation to enable automatic, dynamic optimization of coating machine parameters and automatic tool compensation for CNC machine tools, improving overall efficiency by at least 10%. In R&D, coordinated use of structural, fluid/thermal, motion and electromagnetic simulations allows product designs to identify and resolve more than 80% of potential problems during the R&D stage, cutting R&D cycles by 30% to 50% and reducing physical prototypes by more than 60%. In quality inspection, its self-developed automated optical inspection (AOI) technology combines multimodal inspection, few-shot learning and millisecond-level real-time feedback, lowering the missed-detection rate to 0.05% and reducing manual re-inspection workload by 50%.

Notably, Biel Crystal did not rely on general-purpose large models. Instead, it adopted an architecture purpose-built for industrial scenarios, embedding industry’s stringent requirements for real-time performance, determinism and reliability into model design from the ground up. The company says this ensures the models are “usable, stable and precise” on production lines and drives manufacturing from “single-point automation” toward “plant-wide intelligence.”

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