The explosive expansion of artificial intelligence is driving a parallel surge in energy consumption and carbon emissions, with researchers warning the industry risks becoming trapped in what they term a 'Carbon Valley.' The concern centers on the vast infrastructure—data centers, advanced chip fabrication, and power grids—needed to sustain AI's growth.
Proponents argue that AI will ultimately reduce global emissions by optimizing industries, from transportation to agriculture. But that long-term promise may be undermined if the short-term carbon cost of building and running AI systems is left unchecked, according to a new analysis.
Data centers already account for a significant and growing share of global electricity use. The manufacturing of cutting-edge semiconductors required for AI workloads is energy-intensive, and much of that power still comes from fossil fuels, the report notes.
Without coordinated policy intervention and investment in renewable energy, the AI sector could harden its dependence on carbon-intensive energy sources. This would lock in emissions for decades, effectively creating a 'Carbon Valley'—a region or industry segment defined by high carbon output.
Experts urge AI companies and governments to prioritize clean energy procurement and efficiency standards now, rather than relying solely on future efficiency gains from the technology itself.