A new Gallup survey reveals 7 in 10 Americans oppose AI data centers in their communities, with nearly half strongly against them — surpassing even opposition to nuclear plants — as environmental concerns over water, energy use, and pollution drive resistance across party lines.
A new Gallup poll reveals 7 in 10 Americans oppose local data center construction, with bipartisan resistance spanning 75% of Democrats and 63% of Republicans, as environmental concerns, rising costs, and AI distrust fuel a growing public backlash that threatens the future of AI infrastructure expansion across the country.
Google and SpaceX are in active talks to launch orbital data centers in space, though current analysis suggests terrestrial data centers remain far more cost-effective once satellite construction and launch costs are factored in.
An Intel executive warns that cloud-only AI is economically and infrastructurally unsustainable, calling for a major industry shift toward hybrid on-device and edge AI systems that prioritize affordability, energy efficiency, and user privacy across laptops, phones, and beyond.
AI is colliding with hard physical and geopolitical limits as chip shortages loom for up to five years, energy demands push Google toward space-based data centers, and nations resist foreign-controlled autonomous systems, while startups like Logical Intelligence challenge the dominance of large language models with leaner, physics-driven alternatives.
Microsoft is considering abandoning its 2030 clean energy goal of matching 100% of its electricity use with renewable energy, as rapidly expanding AI data centers create power demands that make the ambitious target increasingly difficult to meet.
California startup Span is partnering with Nvidia and PulteGroup to install silent, liquid-cooled AI computing nodes on residential homes, turning houses into mini data centers while rewarding homeowners with discounted electricity and internet bills.
Meta secures a landmark deal with startup Overview Energy for up to 1 gigawatt of space-based solar power, harnessing satellite-collected energy to fuel its rapidly expanding AI data centers.
Google unveils its 8th-generation TPU chips — the TPU 8t and TPU 8i — delivering nearly 3x the compute performance per pod, 80% better performance-per-dollar, and 2x improved energy efficiency over the previous generation, set for general availability later this year.
Anthropic is exploring designing its own AI chips through 'extreme co-design' to cut costs, reduce latency, and break free from Nvidia dependence, though it would rely on manufacturers like TSMC or Samsung for production.