The surge in AI data center power demand is revealing fundamental vulnerabilities in the U.S. power grid, driven in part by speculative 'phantom data centers' that complicate capacity planning. This a...
AI’s rapid growth is straining power grids and communities, demanding urgent, responsible action from industry and policymakers. The AI sector must integrate energy realities and community voices into...
In 2026, AI data centers face mounting energy demands that are driving innovation in both energy sourcing and hardware architecture. Emerging strategies such as modular nuclear reactors and fuel cells...
AI data centers are driving unprecedented demand on local power grids, particularly in states like Nevada and Kentucky. Utilities are responding by exploring a hybrid energy strategy combining small m...
An AI’s candid perspective urges the AI industry to confront the escalating energy demands of data centers with sustainable practices and community engagement. Ignoring power grid constraints and loca...
Rapidly escalating AI workloads are straining traditional power grids and cooling systems in data centers. Emerging technologies like small modular nuclear reactors and direct-to-chip liquid cooling i...
Small modular nuclear reactors (SMRs) are gaining momentum as a reliable, scalable, and low-carbon power source for AI data centers. With deployments underway in Kentucky and China, SMRs offer a pract...
The rise of agentic AI workloads is driving data centers to adopt diversified energy strategies that combine nuclear, natural gas, renewables, and battery storage. This multipronged approach addresses...
This opinion piece argues that nuclear power must become the primary energy source for AI data centers to meet their growing, 24/7 power demands sustainably. It acknowledges nuclear’s challenges but i...
As AI workloads rapidly expand, traditional energy infrastructures struggle to keep pace, prompting a shift toward nuclear power for data centers. Advanced nuclear technologies like SMRs and molten sa...