AI’s Real Bottleneck: Why Electricity, Not Chips, Could Limit Growth
Artificial intelligence may face a surprising constraint beyond advanced chips: electricity. Global data-centre power consumption could reach around 950 TWh by 2030, driven heavily by increasingly energy-intensive AI infrastructure. As demand accelerates, power grids, renewable energy, nuclear generation, battery storage, cooling systems, transformers and transmission networks are becoming essential parts of the AI supply chain. The next phase of AI growth could therefore depend as much on energy infrastructure as computing power.