Cloud Sustainability: Using AI to Reduce Cloud’s Climate Cost
🌍 In 2025, we’re on track for one of the hottest years ever recorded, and data centers are a big part of the problem. They now consume 2-3% of global electricity – that’s the same as countries like France or Germany. Meanwhile, reports have revealed data center emissions to be up to 662% higher than what tech giants are reporting.
AI is accelerating this growth, with global data center consumption doubling between 2015 and 2022 and set to double once again by 2026. But how seriously are big tech companies taking their imminent environmental impact?
📈 Microsoft and Google respectively reported a 30% and 48% rise in their carbon emissions last year.
📉 Meanwhile, Amazon reported a steady decline in emissions – albeit a marginal one compared to its overall carbon footprint.
AI Drives Cloud Sustainability
Thankfully, AI isn’t just part of the problem – it’s also part of the solution. Over 30% of organizations are already using AI and GenAI to fight back. And they’re doing it with platforms like emma.
AI can optimize infrastructure, reduce waste, and align workloads with renewable energy availability. Platforms like emma are enabling organizations to achieve this at scale by providing real-time visibility, predictive insights, and smart automation for more sustainable multi-cloud operations.
🌱 As the EU’s Corporate Sustainability Reporting Directive (CSRD) and Energy Efficiency Directive (EED) raise the bar on cloud transparency and energy efficiency, organizations can’t afford to wait for hyperscalers to drive change. They need tools that put them in control of their environmental impact now.
👉 Read the full blog to learn how your organization can lead the charge in reducing its environmental impact using AI.