Power Grid Becomes AI's Biggest Bottleneck

Tech giants including Alphabet, Amazon, Meta, and Microsoft are set to spend over $650 billion on AI infrastructure in 2026, but nearly half of planned US data centers face delays. The culprit is not funding but a shortage of critical electrical components like transformers and switchgear, with lead times stretching up to five years while operators demand deployment in under 18 months. The US dominates AI development but lacks domestic capacity to manufacture the electrical equipment needed to power it, creating dependence on foreign suppliers including China. The same strained supply chains also serve EV and grid electrification demand, compounding the bottleneck and introducing new geopolitical vulnerabilities around what analysts are calling electrical sovereignty.