12 articles
On January 28, 2026, reports surfaced that the Department of Energy has quietly rewritten critical nuclear safety guidelines. While sold as a modernization for the AI era, critics argue it removes the physical "last line of defense" for a new generation of unproven reactors.
OpenAI is burning $17 billion per year and trading equity for chips because it cannot afford Nvidia hardware. This is not growth. This is survival.
Lithium prices are defying the EV slowdown, surging toward $28,000/ton. The driver? A massive shift to stationary storage for AI data centers requiring 99.999% uptime.
In 1950, massive dams were built to smelt aluminum. In 2026, it is happening for token generation. But as AI bids electricity prices to $115/MWh, the American industrial base is being priced out of existence.
While we focus on AI's energy consumption, a more physical bottleneck is emerging: copper. Data centers are outbidding EV infrastructure for the same red-metal supply chain, creating a hidden tax on the green transition.
BlackRock's $40 billion acquisition of Aligned Data Centers marks the privatization of the American AI grid, creating a two-tier compute economy.
Big Tech is bypassing the grid to buy entire nuclear power plants, sparking a federal regulatory war over who pays for the nation's infrastructure.
Most AI projects fail because the data pipeline is too slow. The era of 'ETL' is ending. This article explores the technical shift to Zero-Copy architectures.
It's no longer just about renting GPUs. Oracle is pivoting to a 'Bring Your Own Chips' model, positioning OCI as the neutral 'Switzerland' of AI infrastructure. Here is the physics and economics behind the move.
The FCC has opened a critical inquiry into state and local regulations that it claims are choking the deployment of 'AI-ready' networks. At stake is the physical backbone of the artificial intelligence economy.
As AI's energy demands skyrocket, tech giants look to the stars. Discover how space-based data centers could solve the cooling and power crisis.
Amazon plans to invest up to $50 billion to expand AI and supercomputing capabilities for AWS U.S. government customers, adding nearly 1.3 gigawatts of capacity beginning in 2026.