Opposition to data centers is now a major constraint for developers, with $130 billion to $170 billion in data center projects paused or stopped by community backlash.
AI Infrastructure Newsletter
- AI Infrastructure Newsletter
-
If Reuters reporting last week is correct, the Trump administration and FCC are considering a ban on Chinese-manufactured fiber-optic cables used in U.S. data centers. If that happens, what would …
-
Financial analyst consensus for 2026 Capex across Amazon, Microsoft, Alphabet, and Meta comes in at around $750 billion – $890 billion. Consequently, the AI infrastructure bottlenecks go far beyond GPUs, …
-
Equinix has long been recognized in the AI industry as a critical foundational infrastructure and interconnection provider, praised for its commitment to its business and enterprise customers, its vendor-neutral ecosystem, …
- AI Infrastructure Newsletter
More ‘hands-on’ AI regulation of advanced closed-source models, but not of open-source
The Trump administration is walking a tightrope between promoting U.S. AI leadership while at the same time ensuring cybersecurity protections against growing risks.
-
Today, President Trump meets with Meta, Anthropic, OpenAI and Google to discuss “voluntary government safety testing” of AI labs’ advanced models for cybersecurity and hacking capability assessments. Embedded in those …
-
Earlier today, I read with interest TechInsights “The Great Chinese AI Decoupling: The AI Tigers,” which talks of emerging hardware-pipeline archetypes forming under the weight of U.S. export controls and …
-
Yesterday we led with the quarter-trillion dollars piling into AI infrastructure. Today, the money is moving downstream — from raw compute to the tools, networks, and models that determine whether …
-
The money moving through AI infrastructure right now is unlike anything the industry has seen. Nvidia is making a “substantial investment” — reported by Bloomberg as $5 billion — into …
-
The AI infrastructure conversation this week has been around the fact that compute needs are starting to center on inference, rather than training.