AI is a very controversial subject, with many people saying it takes jobs away from people, steals original work by artists and musicians and even more significantly, has a huge carbon footprint, as it uses large amounts of energy. A single image created by an AI tool uses 20g of carbon, which is four times the carbon footprint of sending a single email.
AI has a lot to offer, not by replacing humans in the creative industries, but by automating time-consuming manual processes and analysing large amounts of data, accelerating medical research and scientific development. But are the benefits worth the risks? Some businesses are already taking steps to reduce the impact of AI. As with everything, reducing our impact on the environment is key to managing climate change and protecting all the species on our planet. Here are some organisations that are leading the charge towards sustainable AI solutions.
Google Cloud AI & DeepMind
Google powers massive AI infrastructure but has made major investments into wind, solar and geothermal energy as well as nuclear fusion, which if perfected, could be a safe and effective way of generating energy. Google has set a goal to reach net-zero emissions by 2030 and has taken action to help achieve this. Google’s DeepMind lab has been working with the UK’s National Grid to improve the efficiency and reliability of their power grids, the Met Office to improve their weather forecasting systems, and has created a FloodAlert system that uses data from satellites and other weather data to predict potential floods all over the world more quickly and accurately.
Microsoft Azure AI
Azure is Microsoft’s cloud computing platform which offers analytics, data storage, networking and AI. OpenAI’s ChatGPT runs on Microsoft Azure. Much like Google, Microsoft has invested heavily in renewable energy and is committed to being carbon neutral by 2030. They have pledged to remove all historical emissions by 2050, as well as reduce waste and water consumption. They are also working on creating AI models that achieve the same results as others, but require fewer resources.
Amazon Web Services
Amazon Web Services is a leading provider in the industry and has a significant environmental impact. Amazon has committed to an ambitious goal of being 100% powered by renewable energy by 2025 and is already the largest corporate buyer of renewable energy in the world. AWS uses advanced cooling techniques in their data centres as well as energy-efficient servers and power distribution systems. They also aim to return more water to communities in India than they use in their direct operations by 2027 by supporting community projects in water-stressed areas and restoring lakes. While Amazon as a whole still has work to do in terms of transparency and reducing emissions from other parts of its business, such as logistics and delivery, its cloud division’s push for clean energy is a major step forward.
Hugging Face
Hugging Face is a platform that allows people to create AI models using open-source code and pre-trained models. Hugging Face has been conducting studies into ways to make AI models less resource-intensive and more sustainable using techniques like pruning, quantization, distillation, and flash attention. They offer 100% sustainably sourced computational power and use cutting-edge liquid cooling tech at their data centres in Finland and Iceland.
Smaller Green Cloud Providers such as RunPod & Lambda Labs
While the big tech players often dominate the AI infrastructure conversation, a growing number of smaller, independent cloud providers are making waves by offering 100% renewable-powered computing or investing in high-quality, verified carbon offsets. Platforms like RunPod, Lambda Labs, Vast.ai, and others are building AI-focused cloud services with sustainability at the core. For developers, startups, and research teams that care about climate impact, these platforms offer the performance they need without being locked into the environmental compromises of legacy cloud infrastructure.
Using AI More Sustainably
If you want your AI tools to be as environmentally friendly as possible, consider using cloud providers with renewable energy commitments, look for certifications such as LEED, CarbonNeutral®, or ISO sustainability standards, opt for lightweight or distilled AI models to reduce computing needs, and consider the location of data centres. For example, data centres in Nordic countries often use renewable energy such as geothermal or hydropower.
Offsetting AI’s Carbon Footprint with the Power of Wildflowers
One wildflower can sequester 6 grams of CO₂ during its lifetime, as well as providing food for pollinators and other insects, improving soil health and boosting biodiversity. If you use AI in your business, you can offset its impact by planting wildflowers with us. Here are some common AI-powered activities that can be offset with wildflowers:
A chatbot reply: (5g CO₂) = 1 wildflower
A long-form AI article (10g CO₂) = 2 wildflowers
An AI-generated image (20g CO₂) = 4 wildflowers
10 seconds of HD video (40g ) = 7 wildflowers
Using a green server can cut these emissions in half, leaving you even less to offset. Just one square metre contains 500 wildflowers and can offset 3kg of carbon and costs just £12. Some businesses that work with us choose to offset the footprint of their office every year, some contribute 1% of every invoice towards planting wildflowers, and some aim to plant a set amount of wildflowers every year with us. We can be flexible to help you meet your carbon offsetting goals – visit https://www.mysquaremetre.co.uk/offset-your-carbon/ or contact us here and we can help your business go green!
