Technology
ZTE Showcases Full-Stack AI Capabilities at MWC Shanghai 2026, Empowering New Era of Token Operations
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4 months agoon
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ZTE showcased solutions that enhanced token efficiency and minimized the cost-per-token through the deep synergy of various elements, including SuperPod, extremely cost-efficient inference, and AIDC with ultimate energy efficiencyZTE has launched the NewStart AIOS and positioned it as the “technological foundation in the AI era”Centered on AI-native capabilities, ZTE has driven the deep integration of AI with existing networks—through architecture upgrades and key scenario innovations—to build a next-gen communications network.
SHANGHAI, June 26, 2026 /PRNewswire/ — ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of integrated information and communication technology solutions, showcased the TCO-optimal AI factory, an AIOS-powered ecosystem spanning scenario-based applications and innovative terminals, and cutting-edge breakthroughs in AI-driven networks at MWC Shanghai 2026. Through the extreme synergy across computing, network, storage, energy, and software, as well as system-level architecture innovations, ZTE fully unlocked new momentum for token operations.
As AI agents become widespread, industry competition focus is shifting from computing power scale to token efficiency. Leveraging its end-to-end, full-stack AI capabilities, ZTE is forging a complete value chain spanning token production, services, and circulation—to enable operators, enterprises, and industry partners to unlock AI value at scale.
Building a TCO-Optimal AI Factory for More Efficient, Cost-Effective Token Production
Token efficiency is the core competitiveness in this era of inference. TCO-optimal AI factories are the key to boosting token efficiency and achieving “token freedom”.
At MWC Shanghai 2026, ZTE showcased solutions that enhanced token efficiency and minimized the cost-per-token through the deep synergy of various elements, including SuperPod, extremely cost-efficient inference, and AIDC with ultimate energy efficiency.
Building on 41 years of accumulated expertise in the R&D and engineering of ultra-large-scale, complex systems, ZTE has launched its SuperPod solution. Leveraging multi-chip open collaboration design and the innovative Orthogonal Electrical eXchange (OEX) architecture, it enables plug-and-play deployment and rapid provisioning. A single rack supports 128 GPUs, with high scalability up to 16,000 GPUs, laying a foundation for high-efficiency computing in model training and inference.
Through the synergy of network, storage, and computing, as well as hardware and software, ZTE achieves extremely cost-efficient inference. With non-blocking network and Global Server Load Balancing (GSLB), ZTE’s solution enables efficient coordination across computing clusters ranging from thousands to tens of thousands of GPUs, further boosting overall inference efficiency.
Moreover, ZTE has developed its AIDC solution with ultimate energy efficiency, which integrates 800V HVDC power supply, full-stack liquid cooling, and intelligent computing-electricity synergy, enabling highly efficient and low carbon operations.
From computing cluster construction and inference efficiency optimization to green operations, ZTE is steering AI factories from being compute-centric to efficiency-driven, delivering a more cost-efficient and sustainable token production system.
Developing an Innovative AIOS Technological Foundation for Smarter Token Scheduling and Closed-Loop Services
The AI factory addresses the challenge of low-cost token production, while AIOS plays a critical role in token scheduling, orchestration, and service-oriented output.
ZTE has launched the NewStart AIOS and positioned it as the “technological foundation in the AI era”. Built on AIOS, Co-Claw—an enterprise-level agent platform—is fully integrated into ZTE terminals, extending AI services to production and daily life.
For enterprises, the focus is on enhancing office and R&D efficiency and enabling intelligent operations, to achieve self-evolving workflows and closed-loop decision-making.
For homes, ZTE has launched innovative terminals with different screen sizes which serve as entry points to a fully connected smart home. They can be household AI assistant, AI entertainment companion, and AI security guardian—always on, always active for an intelligent lifestyle.
For individuals, the company has introduced a new AI-native paradigm spanning AI phones, AI cloud PCs, AI smart displays, FreeScreen and more, enabling personalized recommendations, contextual responses, and immersive interactions across travel, life, and work. AI knows better and delivers enjoyable smart experiences anytime, anywhere.
Leveraging the AIOS technological foundation, Co-Claw agent platform, and a full lineup of AI devices, ZTE transforms tokens into schedulable, serviceable, and monetizable resources. This allows operators and enterprises to develop a closed–loop model for token-based services.
AI + Network, Co-Building a Future of Intelligent, Ubiquitous 6G Connectivity
6G is more than a generational leap in connectivity. It also serves as the critical infrastructure that enables efficient token circulation in the AI era.
As a key participant in global 6G research and standardization, ZTE centers around “AI+” and “SAGIN”, speeding up the evolution of 6G from research to commercial use.
Regarding SAGIN, ZTE has launched industry-leading LEO satellite communication payload solutions compatible with diverse application scenarios of SAGIN for 5G-A and 6G, fostering the critical connectivity foundation for a smooth evolution from 5G-A to 6G.
As for AI-native communications, ZTE has demonstrated its GigaMIMO solution and the world’s first 256 TR U6G prototype in the 6G Zone at this event. With GigaMIMO, a cornerstone technology for 6G, the solution leverages architecture innovation, computing synergy, and algorithmic breakthroughs to systematically overcome critical bottlenecks in future network capacity, coverage, and spectral efficiency, thus speeding up 6G deployment and industry evolution.
Centered on AI-native capabilities, ZTE has driven the deep integration of AI with existing networks—through architecture upgrades and key scenario innovations—to build a next-gen communications network.
The AIR MAX solution comprehensively upgrades the network architecture with AI at its core and delivers a three-tier capability system involving the AI-native infrastructure, autonomous operations, and monetization engine. Together, they empower operators in capability evolution, service transformation, operational shift, and ecosystem reshaping for the AI era.
The AI HI-NET solution delivers three key capabilities—AI-native, ultra-high-speed and lossless, and intrinsically secure, laying a solid network foundation for ubiquitous intelligent computing access, lossless wide-area connectivity, and the integration of computing, network, security, and service.
The 10G AI-Optical Network solution has been widely deployed across homes, campuses, small businesses, and other key scenarios, unlocking greater value of all-optical cities.
Meanwhile, ZTE continues to promote key scenario applications through innovations such as new calling with AI assistant, “first-class” mobile network services, ISAC for low-altitude economy, and highly autonomous networks. These efforts are made to build a more intelligent, efficient, and trustworthy connectivity foundation for the AI era.
From AI factory to AIOS, agent platform, and future networks, ZTE demonstrated an end-to-end capability system at MWC Shanghai 2026. The system covers token production, scheduling, and circulation, integrating computing, network, terminals, and agents to accelerate AI from technological breakthroughs to large-scale deployment.
The AI industry is accelerating into the inference era, where tokens have become a key measure of AI-driven value creation. Looking to the future, ZTE will work with industry partners to build AI infrastructure and ecosystems that are more efficient, inclusive, and sustainable. Together, we aim to bring AI to various industries, unlocking new growth momentum for the AI era.
MEDIA INQUIRIES:
ZTE Corporation
Communications
Email: ZTE.press.release@zte.com.cn
View original content to download multimedia:https://www.prnewswire.com/news-releases/zte-showcases-full-stack-ai-capabilities-at-mwc-shanghai-2026-empowering-new-era-of-token-operations-302811588.html
SOURCE ZTE Corporation
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Technology
Healthcare Data Center Market to Reach USD 37.11 Billion by 2035 as AI Genomics, EHR Resilience and Hosted Capacity Reshape Healthcare Infrastructure – DC Market Insights
Published
11 minutes agoon
October 23, 2026By
Market grows at a 9.15% CAGR from USD 15.46 billion in 2025; AI genomics and research computing expands 16.71% a year, while North America holds 46.0% of spending
LONDON, Oct. 23, 2026 /PRNewswire/ — The “Healthcare Data Center Market – Growth, Share, Opportunities & Competitive Analysis, 2026-2035” report has been added to the DC Market Insights offering. The global Healthcare Data Center Market was valued at USD 15.46 billion in 2025, is estimated at USD 17.34 billion in 2026, and is projected to reach USD 37.11 billion by 2035, growing at a CAGR of 9.15% from 2025 to 2035. DC Market Insights finds that healthcare infrastructure is splitting between general-purpose EHR workloads that increasingly move to hosted environments and higher-value AI, imaging, research and resilience workloads that require dedicated or colocated capacity.
Healthcare Data Center Market at a Glance
Metric
Value (DC Market Insights estimate)
Market size, 2020
USD 9.77 billion
Market size, 2025 (base year)
USD 15.46 billion
Market size, 2026
USD 17.34 billion (+12.16% year on year)
Market size, 2030
USD 25.10 billion
Market size, 2035
USD 37.11 billion
CAGR 2025-2035
9.15% (low case 7.13%, high case 10.69%)
Largest component
IT hardware, 70.7% of 2025 value
Fastest-growing workload
AI genomics and research computing, 16.71% CAGR
Leading region
North America, 46.0% (USD 7.11 billion)
Fastest-growing region
Asia Pacific, 11.72% CAGR
Largest end user
Hospitals and health systems, 47.0% of 2025 value
Key Takeaways
IT hardware accounts for USD 10.93 billion, or 70.7% of 2025 market value, reflecting the high server, storage and accelerator content of clinical and research workloads.AI genomics and research computing is the fastest workload, rising 16.71% a year from USD 2.30 billion in 2025 to USD 10.78 billion by 2035.Hospitals and health systems remain the largest end user at USD 7.27 billion in 2025, while pharmaceutical and life sciences grows fastest among end users at 11.61% a year.On-premises owned sites hold 60.0% of 2025 value, but wholesale and build-to-suit grows 14.01% a year as research and AI clusters move into purpose-built capacity.North America leads with 46.0% of 2025 spending, while Asia Pacific grows fastest at 11.72%; India is the fastest-growing large country at 18.37% a year.
Scope & Segmentation – Healthcare Data Center Market
The report analyzes the market across the following segments:
Component: IT Hardware; Colocation and Hosting Services; Electrical and Mechanical Infrastructure; Construction and Fit-OutEnd User: Hospitals and Health Systems; Pharmaceutical and Life Sciences; Payers and Health Insurers; Health IT and Medtech Vendors; Public Health and Research InstitutesWorkload: EHR and Clinical Applications; Medical Imaging and PACS; AI Genomics and Research Computing; Claims and Revenue Cycle; Backup and Disaster Recovery; Collaboration and Other WorkloadsDeployment Model: On-Premises Owned Sites; Retail Colocation; Wholesale and Build-to-Suit; Vendor-Hosted Private CloudGeography: North America; Europe; Asia Pacific; Latin America; Middle East and Africa, with 12 country forecasts
Report Updated: Oct. 22, 2026
Get Free Sample Report – Healthcare Data Center Market
“Healthcare data center demand is moving in two directions at once: hospitals are reducing general-purpose owned halls while AI, imaging, research and cyber-resilience requirements add denser, higher-value infrastructure. Our model shows AI genomics and research computing growing 16.71% a year and wholesale or build-to-suit capacity growing 14.01%, while the owned-site share falls from 60.0% in 2025 toward 45.0% by 2035. That makes compliant hosted capacity, AI-ready infrastructure and recoverability the strongest growth pools through the forecast period.”
— Amit Jain, Senior Consultant, ICT & Emerging Technologies, DC Market Insights, report author
Why This Report Matters
Healthcare data centers sit at the intersection of patient-data availability, clinical application performance, medical imaging, pharmaceutical research and cyber resilience. The report helps health systems, life sciences companies, colocation operators, cloud and hosting providers, equipment vendors and investors size infrastructure demand while separating public-cloud migrations that leave the market from leased and owned capacity that remains in scope.
Key Attributes
Report attribute
Details
Historical Period
2020-2024
Base Year
2025
Forecast Period
2026-2035
Market Size 2025
USD 15.46 billion
Market Size 2026
USD 17.34 billion
Market Size 2035
USD 37.11 billion
CAGR 2025-2035
9.15% (low 7.13%, high 10.69%)
Leading Region
North America, 46.0%
Report Format
PDF + Excel
How Big Is the Healthcare Data Center Market in 2026?
DC Market Insights values the Healthcare Data Center Market at USD 17.34 billion in 2026, 12.16% above 2025, as backup sites, AI clusters for drug discovery and leased halls for electronic health records are added faster than hospital server rooms close. The model places healthcare IT load at 3,300 MW in 2025 and projects it to double to 6,600 MW by 2035, with accelerator racks taking a larger share of the mix.
Year
Market size
2020
USD 9.77 billion
2025
USD 15.46 billion
2026
USD 17.34 billion (+12.16% year on year)
2030
USD 25.10 billion
2035
USD 37.11 billion
Source: DC Market Insights, Healthcare Data Center Market report, Oct. 22, 2026.
Why Do AI and Research Workloads Raise Healthcare Data Center Spend?
AI infrastructure changes the value of each megawatt. DC Market Insights estimates a conventional healthcare MW carries about USD 3.05 million a year of hardware, while an AI MW carries about USD 8.30 million. That premium comes from GPU systems, high-speed networking, large research datasets and the supporting power and cooling required for accelerated computing. The result is that market value grows faster than healthcare IT load as the accelerator share rises from about 5% in 2025 toward 22% by 2035.
Which Component Leads Healthcare Data Center Spending?
IT hardware remains the largest component, but colocation and hosting services grow faster as providers absorb EHR, imaging, backup and research workloads that institutions no longer want to operate in ageing hospital server rooms.
Component
2025 value
Share 2025
2035 value
CAGR
IT Hardware
USD 10,931.24M
70.7 %
USD 24,479.40M
8.40 %
Colocation and Hosting Services
USD 3,136.32M
20.3 %
USD 9,496.08M
11.72 %
Electrical and Mechanical Infrastructure
USD 967.87M
6.3 %
USD 2,058.14M
7.84 %
Construction and Fit-Out
USD 427.77M
2.8 %
USD 1,078.98M
9.69 %
DC Exclusive: Hospital Data Center Exit Tracker
DC Market Insights tracks 14 named healthcare infrastructure moves from 2014 through 2026. Ten moved workloads to public cloud, two went to colocation and two built new owned sites. The pattern explains why owned data centers can lose share even while the overall market expands: general-purpose EHR estates leave older halls, while AI and research clusters arrive as new owned, wholesale or colocated capacity. The model therefore takes the owned-site share from 60.0% in 2025 toward 45.0% by 2035.
Workload
2025 value
Share 2025
2035 value
CAGR
EHR and Clinical Applications
USD 4,638.95M
30.0 %
USD 8,907.02M
6.74 %
Medical Imaging and PACS
USD 2,783.38M
18.0 %
USD 6,309.14M
8.53 %
AI Genomics and Research Computing
USD 2,297.83M
14.9 %
USD 10,777.50M
16.71 %
Claims and Revenue Cycle
USD 2,010.22M
13.0 %
USD 4,082.39M
7.34 %
Backup and Disaster Recovery
USD 2,164.85M
14.0 %
USD 4,453.51M
7.48 %
Collaboration and Other Workloads
USD 1,567.97M
10.1 %
USD 2,583.04M
5.12 %
Which Region Leads the Healthcare Data Center Market?
North America leads because the United States combines a large installed hospital base, near-universal certified EHR adoption and significant pharmaceutical research infrastructure. Asia Pacific grows fastest as India, China and other markets add local capacity under health-data localization and digital-health programs.
Indicator
2025 / Base
Outlook
Leading region
North America, 46.0% (USD 7.11B)
USD 15.77B by 2035; remains the largest regional spending pool
Fastest-growing region
Asia Pacific, 11.72% CAGR
Reaches USD 9.83B by 2035 as India and China add domestic health-data capacity
Fastest large country
India, 18.37% CAGR
USD 247.41M in 2025 to USD 1.34B by 2035
Largest country
United States, USD 6.49B in 2025
Remains the largest national market through the forecast
How Could the 2035 Forecast Change?
The 2035 outcome depends on how quickly hospital EHR estates move to public cloud, how much pharmaceutical AI is purchased as cloud capacity rather than dedicated infrastructure, and how strongly resilience rules push institutions to maintain recoverable private or colocated capacity.
Scenario
Assumption
2035 value
CAGR 2025-2035
Low
Faster EHR migration to public cloud; more pharma AI bought as cloud capacity
USD 30.80B
7.13 %
Base
Healthcare IT load reaches 6,600 MW; 22% on AI racks; 55% leased
USD 37.11B
9.15 %
High
Stricter 72-hour restore requirements and more drug makers build owned AI factories
USD 42.68B
10.69 %
Competitive Landscape and Recent Developments
The five largest colocation providers account for about 31% of the USD 3.14 billion healthcare colocation and hosting market in 2025, leaving the sector fragmented. Competition spans colocation, EHR hosting, cloud services, AI hardware and the power and cooling systems required for hospital and life-sciences infrastructure.
Companies profiled include:
Equinix; Digital Realty; Iron Mountain Data Centers; CyrusOne; NTT DATA; Epic Systems (Epic Hosting); Oracle (Oracle Health); Microsoft (Nuance); Amazon Web Services; Google Cloud; Dell Technologies; Hewlett Packard Enterprise; NVIDIA; Cisco Systems; Schneider Electric; Vertiv.
In July 2026, WellSpan Health completed the move of more than 300 applications and 7.5 PB of data to AWS in 17 weeks.In April 2026, the U.S. Department of Veterans Affairs requested USD 4.2 billion for its EHR in fiscal 2027, including USD 745 million for infrastructure readiness.In February 2026, Eli Lilly’s LillyPod AI factory with more than 9,000 petaflops went live in Indianapolis.In February 2026, five Ontario hospitals in Transform Shared Service Organization moved their EHR to Oracle Cloud Infrastructure, cutting page-load time by 71%.In January 2026, NVIDIA and Eli Lilly agreed to invest up to USD 1 billion over five years in an AI co-innovation lab.In November 2025, India notified the DPDP Rules with an 18-month phased timeline.
Frequently Asked Questions
What is the size of the Healthcare Data Center Market?
USD 15.46 billion in 2025 and USD 17.34 billion in 2026, projected to reach USD 37.11 billion by 2035 at a 9.15% CAGR.
Which component leads the market?
IT hardware, with USD 10.93 billion or 70.7% of 2025 spending.
Which workload grows fastest?
AI genomics and research computing, at 16.71% a year through 2035.
Which healthcare end user spends the most?
Hospitals and health systems, with USD 7.27 billion or 47.0% of 2025 market value.
Which region leads?
North America with USD 7.11 billion or 46.0% of 2025 value; Asia Pacific grows fastest at 11.72% a year.
Who are the leading suppliers?
Equinix, Digital Realty, Iron Mountain Data Centers, CyrusOne and NTT DATA are among the leading colocation providers, alongside major healthcare hosting, cloud, hardware and infrastructure vendors.
Methodology
DC Market Insights builds the healthcare data center market bottom-up from 3,300 MW of healthcare IT load in 2025 and spending per MW for hardware, colocation and hosting, electrical and mechanical infrastructure, and construction and fit-out. The model separates conventional and AI MW, applies leased-capacity economics, and reconciles end-user, workload, deployment, regional and country splits to the total market before applying forecast assumptions.
Download Sample Report – Healthcare Data Center Market
Related Reports from DC Market Insights
Data Center Colocation Market
AI Data Center Market
Data Center Outsourcing Market
Multi-Tenant Data Center Market
Data Center Virtualization Market
DC Market Insights Data & Tools
Explore live datasets and decision tools used across DC Market Insights research:
Data Center Database
Data Center Map
Data Center Operators
Global Capacity Tracker
Deal Tracker
Power & Policy Tracker
PUE Calculator
Construction Pipeline
Deal Comps
Site Risk
Electricity Rates
Data Center Footprint
About DC Market Insights
DC Market Insights is a dedicated research and consulting firm that empowers data center leaders with actionable intelligence. We combine rigorous market research, advanced analytics and practical advisory support to help organizations make confident decisions in an increasingly complex digital infrastructure landscape. Our goal is to transform data into clarity, giving clients the ability to act decisively on strategy, investment and execution.
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DC Market Insights
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Technology
City of Hope Cancer Center Chicago Unites Industry Leaders for Health Technology Innovation Roundtable
Published
11 minutes agoon
October 23, 2026By
CHICAGO, Oct. 23, 2026 /PRNewswire/ — Faster access to care, more affordable treatment and policies that support innovation were central themes of a Health Technology Innovation Roundtable convened by City of Hope® Cancer Center Chicago on Thursday, October 15, at its hospital in Zion.
The discussion brought together Congressman Brad Schneider (IL-10) and leaders from City of Hope, Vantive and Zocdoc to examine how technology can help bend the health care cost curve, connect patients with care sooner and expand access to specialized treatment.
“Thank you to City of Hope in Zion for graciously hosting our recent roundtable to discuss how emerging health technologies are shaping patient care, access, and affordability,” said Schneider. “I am proud to represent a district where so many people work in the life sciences field to advance innovation. This convening was an important opportunity to hear directly from health technology innovators about the progress they are making to better connect patients with lifesaving care and how we can work together. I will continue to partner with City of Hope and the health technology experts throughout our district to ensure more people have access to the cutting-edge treatment and testing they deserve.”
The conversation spanned digital appointment scheduling, home dialysis, surgical robotics, artificial intelligence and remote monitoring. Zocdoc’s digital marketplace connects patients with available appointments, helping fill openings that might otherwise go unused. Vantive’s work in kidney care, including home dialysis, illustrated how technology can expand options for where and how patients receive treatment. City of Hope’s experience with advanced surgery and wearable devices highlighted opportunities to bring specialized expertise closer to patients and support recovery at home.
“Technological advancements continue to evolve rapidly, and keeping up with them can feel like a job unto itself,” said Pete Govorchin, president of City of Hope Chicago. “Having an opportunity to pause and reflect on the progress we have seen thus far, as well as look ahead to what’s next alongside a distinguished panel of respected professionals, is critical.”
The discussion also addressed barriers that can keep innovation from reaching patients, including state licensing requirements, limited broadband, outdated regulations and reimbursement challenges. Access for rural communities and veterans was a recurring concern, alongside the need to measure how new technologies improve outcomes and reduce avoidable costs.
“As both a developer and adopter of advanced surgical technologies, City of Hope is well positioned to provide practical, evidence-based insights into how robotic surgery and other procedures, delivered remotely, could improve access, enhance quality, and support the future of patient-centered care,” said Dr. Yuman Fong, a City of Hope surgical oncologist.
Joining Schneider, Govorchin and Fong were Chris Toth, CEO of Vantive; Kyle Jackson, Vantive’s executive director of government affairs and market development; and Ilyssa Meyer, Zocdoc’s director of government affairs.
“I was proud to be part of an important convening of health technology experts discussing how we can continue to work together to connect more patients to care and innovative treatment. Rep. Schneider’s leadership on the bipartisan, bicameral Health ACCESS Act is an important next step in turning the innovations discussed at the recent roundtable into broader access to care,” added Meyer. “By reducing barriers to digital health services and online appointment scheduling, the bill can help connect more patients with the care they need.”
About City of Hope
City of Hope’s mission is to make hope a reality for all touched by cancer and diabetes. Founded in 1913, City of Hope has grown into one of the largest and most advanced cancer research and treatment organizations in the United States, and one of the leading research centers for diabetes and other life-threatening illnesses. City of Hope research has been the basis for numerous breakthrough cancer medicines, as well as human synthetic insulin and monoclonal antibodies. With an independent, National Cancer Institute-designated comprehensive cancer center that is ranked among the nation’s top cancer centers by U.S. News & World Report at its core, City of Hope’s uniquely integrated model spans cancer care, research and development, academics and training, and a broad philanthropy program that powers its work. City of Hope’s growing national system includes its Los Angeles campus, Orange County, California, campus, a network of clinical care locations across Southern California and cancer treatment centers and outpatient facilities in the Atlanta, Chicago and Phoenix areas. City of Hope’s affiliated group of organizations includes Translational Genomics Research Institute and AccessHope™. For more information about City of Hope, follow us on Facebook, X, YouTube, Instagram and LinkedIn.
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SOURCE City of Hope Cancer Center Chicago
Technology
Kin Becomes First U.S. Home Insurer to Enable WebMCP for AI Shopping
Published
11 minutes agoon
October 23, 2026By
Consumers can now use ChatGPT to efficiently shop Kin’s digital home insurance experience
CHICAGO, Oct. 23, 2026 /PRNewswire/ — Building on its recent announcement that AI shopping agents like Meta’s Muse are welcome to shop on Kin.com, Kin is making its digital home insurance experience even easier for AI to shop. Kin, the direct-to-consumer provider of insurance and home finance solutions for homeowners, today announced that it has enabled WebMCP in its digital quoting experience. The new capability gives ChatGPT a faster and more efficient way to interact with Kin.com on a consumer’s behalf.
Homeowners can go from their AI agent prompt to a customized Kin home insurance quote ready for purchase in minutes due to the data-informed Kin.com quoting process.
“We said that Kin will win the AI shopping experience, and we meant it,” said Kin Founder and CEO Sean Harper. “People are going to increasingly ask AI to do the tedious work of shopping for them. We want someone to be able to tell ChatGPT, ‘Help me shop for home insurance,’ and make it incredibly easy for that AI agent to shop Kin.”
Unlike plug-ins that require installation, WebMCP is an open web standard which lets AI agents work directly with Kin.com, creating a more efficient way to interact with Kin’s digital experience, and making it easier for them to help consumers shop for home insurance. For consumers, that means AI can do more of the repetitive work involved in insurance shopping, while Kin makes its experience easier for those AI agents to navigate.
Built for the Way Consumers Will Shop
The launch builds on Kin’s announcement that it would welcome Meta’s Muse and other AI shopping agents to Kin.com rather than block them. In Kin’s testing, Muse was able to retrieve home insurance quotes after asking consumers only a handful of questions. Likewise, with ChatGPT, Kin testing found consumers could easily price out home insurance in a clear side-by-side view with minimal questions. The technology improves daily, and Kin is committed to implementing open standards like WebMCP, which ChatGPT supports for paid users on its browser-based platform. While free ChatGPT accounts cannot use this protocol, consumers can still easily get a quote at kin.com.
Kin was built to sell home insurance directly to consumers through a digital experience, without relying on external agents. It also analyzes thousands of data points about individual homes, meaning much of the information needed to generate a quote can already be gathered without asking the homeowner.
“We didn’t have to reinvent Kin for AI shopping,” Harper said. “We already built a direct digital experience, we already have the data to answer most of the questions about a home, and we don’t depend on someone in the middle to sell the product. AI shopping rewards a lot of the things we’ve been building for years.”
A New Way to Shop for Insurance
Kin expects AI agents to become increasingly capable of helping consumers gather information, understand coverage and shop across insurance providers. As those capabilities improve, Kin plans to continue making its digital experience easier for both people and the AI agents working on their behalf.
“Five years from now, opening a bunch of browser tabs and filling out the same information over and over is going to seem pretty antiquated,” Harper said. “You’ll tell your AI what you need and it will go do the work. We’ve built Kin to win in that world.”
About Kin
Kin helps homeowners save money, simplify tasks, and protect their most valuable assets. By offering direct-to-consumer digital home and auto insurance alongside home finance services, the company focuses on supporting underserved homeowners in states with high catastrophic risk. Kin provides more convenient and affordable home and auto insurance coverage by eliminating the need for external agents and analyzing thousands of data points to provide transparent, accurate pricing. Kin’s AI-native technology platform delivers a seamless customer experience, customized options, and fast, high-quality service. To learn more, visit www.kin.com.
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SOURCE Kin Insurance, Inc.
Healthcare Data Center Market to Reach USD 37.11 Billion by 2035 as AI Genomics, EHR Resilience and Hosted Capacity Reshape Healthcare Infrastructure – DC Market Insights
City of Hope Cancer Center Chicago Unites Industry Leaders for Health Technology Innovation Roundtable
Kin Becomes First U.S. Home Insurer to Enable WebMCP for AI Shopping
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