The AI boom has an inconvenient physical reality. Every model trained, every chatbot query processed and every AI-enabled workflow deployed ultimately depends on data centres ( buildings filled with servers, cooling equipment and power infrastructure). The technology may feel weightless to the user; its environmental footprint is not.
The scale is beginning to show in the numbers. The International Energy Agency (IEA) reported that global electricity demand from data centres rose by 17% in 2025, while electricity consumption at AI-focused data centres grew by around 50%. The IEA expects overall data-centre electricity consumption to roughly double by 2030, with AI the most important driver of that growth.
For companies pursuing net-zero targets, that creates a tension that is becoming difficult to ignore. Microsoft offered a striking example in July 2026: it reported that its total Scope 1, 2 and 3 emissions increased 25% year on year, driven primarily by the expansion of its data-centre infrastructure. This is a company that remains committed to becoming carbon negative by 2030.
The lesson is not that AI and sustainability are incompatible. It is that AI has become a sustainability management issue in its own right.
AI is digital. Its infrastructure is not.
AI’s footprint extends beyond the electricity used to run a model. Data centres require continuous power, sophisticated cooling and significant physical infrastructure. Advanced chips bring their own upstream footprint through semiconductor manufacturing and demand for critical minerals. Depending on location and cooling technology, water can also become a material consideration.
There is an important nuance here. AI systems are becoming more efficient. The IEA notes that electricity consumption per AI task is declining rapidly. But efficiency per task does not automatically mean lower total consumption. When the number and complexity of AI tasks grow even faster, aggregate electricity demand can still rise sharply.
That distinction matters for business leaders. The useful question is not simply, ‘Does AI consume energy?’ Of course it does. The better question is: do we understand the incremental footprint well enough to manage it?
Read the Full article on Mondaq: https://www.mondaq.com/india/new-technology/1828520/the-ai-boom-is-challenging-net-zero-goals-can-technology-and-sustainability-grow-together
