Renewable Energy & AI Infrastructure

Major technology companies have made significant commitments to powering their operations with renewable energy. Google, Microsoft, Amazon, and Meta have collectively purchased more renewable energy than any other industry sector. However, the explosive growth of AI workloads is testing these commitments. Microsoft publicly acknowledged in 2024 that its carbon emissions had risen 30% since 2020, largely due to data centre expansion for AI. The challenge is that renewable energy - primarily wind and solar - is intermittent. Data centres need power continuously. Bridging this gap requires either massive battery storage (expensive and resource-intensive in its own right), nuclear power (which several tech companies are actively pursuing), or accepting that some portion of your energy will come from fossil fuels during periods when renewables are insufficient. The concept of 24/7 carbon-free energy - matching every hour of electricity consumption with carbon-free generation - is gaining traction as a more honest standard than annual offsetting, which can mask significant emissions during high-demand periods. For organisations making infrastructure decisions, the energy source of your cloud provider or data centre matters. Choosing a region powered by renewables over one powered by coal can dramatically change the carbon footprint of the same workload. This is one of the easiest and most impactful sustainability decisions you can make in AI deployment.