A recent Gallup survey reveals that 71 percent of Americans do not want AI data centers built near their homes. The data, collected in March and April 2026 from over 3,000 adults, shows that 48 percent strongly oppose the construction, while another 23 percent somewhat oppose it. Primary concerns involve the heavy demand for water and electricity required by these facilities.
Political affiliation influences these views, with opposition highest among Democrats at 75 percent, followed by independents at 74 percent and Republicans at 63 percent. Recent laws in Maine and Wisconsin demonstrate that local governments are actively trying to control this growth despite the rapid expansion of AI infrastructure.
In the consumer tech space, dating apps are heavily adopting artificial intelligence to improve user matching. Hinge launched a new algorithm based on interests and behavior, while Bumble is removing its swipe feature entirely to introduce an AI assistant called Bee. Other platforms like Match.com, OkCupid, and The League are also integrating machine learning to find compatible partners more effectively.
Health technology companies are similarly leveraging AI for deeper insights. Oura CEO Tom Hale stated that AI has been a core part of the company's strategy for Years. The firm is currently studying blood pressure data on 300,000 people to secure FDA clearance for its smart ring, aiming to predict health outcomes rather than just displaying raw data.
Enterprise software providers are also adapting to AI risks and opportunities. Docker released a new tool using microVM sandboxes to secure developer laptops against AI agents, addressing security gaps outside normal systems. Meanwhile, GitHub Copilot faced major outages in April 2026 due to a rate limiting bug, causing wait times to surge to 54 minutes for some users globally.
Siemens EDA is utilizing AI to speed up computer chip verification while maintaining strict accuracy standards. Their Fuse EDA AI System optimizes resources and debugging, though the core signoff engine remains free of AI to ensure mathematically perfect results. In healthcare, eClinicalWorks unveiled healowIQ and an agentic AI ecosystem to automate tasks like handling prior authorizations and navigating payer websites.
Key Takeaways
['71 percent of Americans oppose building AI data centers near their homes.', '48 percent of respondents strongly oppose AI data center construction in their area.', '23 percent of Americans somewhat oppose the construction of AI data centers.', 'Opposition to AI data centers is highest among Democrats at 75 percent.', 'Bumble is removing its swipe feature to introduce an AI matchmaking assistant called Bee.', "Oura CEO Tom Hale states AI has been a core part of the company's strategy for Years.", 'GitHub Copilot experienced outages in April 2026 with wait times reaching 54 minutes.', 'Docker released a new tool to secure developer laptops against AI agent risks.', 'eClinicalWorks launched healowIQ to automate healthcare tasks like prior authorizations.', 'Siemens EDA uses AI for chip verification while keeping the core signoff engine AI-free.']Nearly Half of Americans Oppose AI Data Centers
A new Gallup poll shows that 48 percent of Americans strongly oppose building AI data centers in their area. Another 23 percent say they somewhat oppose the construction. Many people worry about the high use of water and electricity required by these facilities. Recent laws in Maine and Wisconsin show that local governments are also trying to control this growth. The survey included 1,000 respondents and was conducted between March 2 and March 18.
Most Americans Reject AI Data Centers Locally
A recent survey reveals that 71 percent of Americans do not want AI data centers built near their homes. The top concerns involve the heavy demand for water and electricity. Opposition is highest among Democrats at 75 percent, followed by independents at 74 percent and Republicans at 63 percent. The data comes from Gallup surveys conducted in March and April 2026 with over 3,000 American adults. These results highlight a significant public resistance to the rapid expansion of AI infrastructure.
Dating Apps Use AI to Find Better Matches
Online dating companies are using artificial intelligence to improve how they pair users together. Hinge has launched a new algorithm that matches people based on their interests and behavior. Other apps like Match.com, OkCupid, and The League are also adopting AI for better connections. Some startups are even creating new dating experiences powered by machine learning. Experts say this technology helps find compatible partners more effectively than old methods.
Docker Secures Developer Laptops Against AI Risks
Docker has released a new tool to help companies control AI agents running on developer laptops. These laptops are often outside normal security systems, creating a risk for company data. Docker's solution uses microVM sandboxes to safely run AI agents while monitoring their actions. Administrators can set rules for network access, file usage, and tool permissions from one console. This product is now generally available for enterprise customers to protect their internal systems.
Oura CEO Says AI Was Key to Strategy for Years
Oura CEO Tom Hale stated that artificial intelligence has been a core part of the company's plan for a long time. He spoke at the Consello Spark Summit about using AI to predict health outcomes rather than just showing raw data. Oura is currently studying blood pressure data on 300,000 people to get FDA clearance for its smart ring. The company hires many former Apple engineers to build its hardware and AI systems together. Hale believes this mix of physical devices and smart software gives Oura a unique advantage.
GitHub Copilot Faced Major Outages in April
GitHub experienced several outages in April 2026 that disrupted its AI coding assistant, Copilot. A bug in the rate limiting system incorrectly blocked users globally instead of just on specific accounts. This error caused wait times to surge to 54 minutes for some users. A client update also caused a spike in traffic that made the problem worse. Additionally, code search and audit logs faced issues during this time. GitHub has since taken steps to fix these infrastructure failures.
Companies Need New Operating Models for AI Success
Experts say that simply building AI tools is not enough for businesses to succeed with the technology. Organizations must change their operating models to effectively deploy AI in real-world situations. This involves understanding current technology limits and identifying specific business problems to solve. Companies should design AI solutions that fit their existing workflows and processes. Staying updated on new AI research is also essential to keep up with rapid changes in the field.
eClinicalWorks Unveils New AI Health Products
eClinicalWorks announced a new product called healowIQ at its recent Health Center Summit. The company also showcased an agentic AI ecosystem designed to automate tasks like answering phone calls and handling prior authorizations. Their AI Workbench can navigate payer websites to speed up insurance approvals. The company is also expanding its PRISMANet platform to more users by the end of the year. These tools aim to improve efficiency across various areas of healthcare.
Bumble Removes Swipe Feature for AI Matchmaking
The dating app Bumble is ending its popular swipe feature to introduce a new AI assistant called Bee. This tool will help users find matches based on detailed hobbies and interests rather than simple photos. The update also means women will no longer have to send the first message to start a conversation. Bumble believes this shift will create more meaningful connections between members. The app is phasing out swiping in favor of this smarter matching system.
AI Supply Side Drives Economic Growth and Change
The development of artificial intelligence has moved from early research to widespread adoption over the last decade. Experts divide this growth into four phases: innovation, infrastructure building, diffusion, and market adaptation. A supply-side perspective helps policymakers understand how to promote AI benefits while managing risks. This view highlights how AI affects productivity and employment in the economy. Understanding these drivers is key to shaping future strategies for the technology.
Siemens Uses AI for Trusted Chip Verification
Siemens EDA is using artificial intelligence to speed up the verification of computer chips without losing accuracy. Their new Fuse EDA AI System combines shared models and data to help engineers design better chips. However, the core signoff engine remains free of AI to ensure mathematically perfect results every time. AI tools are used instead to optimize resources and help debug errors more quickly. This approach balances the speed of AI with the strict trust needed in chip manufacturing.
Sources
- Almost half strongly oppose AI data centers in their area: Gallup
- Americans do not want AI data centers in their backyards
- AI wants to be your wingman
- Docker Turns The Developer Laptop Into A Governed AI Runtime
- Oura CEO: AI Has Been Core to Our Strategy for Years
- GitHub Copilot Hit by April Outages
- A New Way to Make AI Actually Work in the Real World
- eClinicalWorks Shares Artificial Intelligence, Agentic Ecosystem, and New healowIQ Product at Health Center Summit
- Dating app Bumble ends swipe feature, introduces AI assistant for matchmaking
- Artificial intelligence: a supply-side perspective
- Harnessing Artificial Intelligence For Trusted IC Signoff
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