Deepseek has already proven that AI can be built differently. Instead of relying on ever-growing computational resources, Deepseek optimised data processing to achieve efficiency without excess. According to DeepSeek’s own research papers, their servers consume 50% to 75% less energy than Nvidia’s latest GPU units. This shift in mindset highlights an emerging truth: it’s not just the volume of data that determines AI’s impact—it’s how that data is managed.
Artificial Intelligence (AI) is changing the world at record speed, but it’s also consuming its energy resources at an alarming rate. The rapid rise of generative AI has triggered an explosion in demand for computational power, pushing data centres to their limits. Estimations from Statistia highlighted that AI-related operations accounted for around eight percent of global data centre electricity use in 2023. Goldman Sachs Research estimates that data centre power demand will grow 160% by 2030, with AI expected to represent about 19% of data centre power demand by 2028.
The cost isn’t just financial; it’s environmental. But what if AI didn’t have to come with such a massive energy bill? What if the way we manage data could make AI more sustainable?
