AI and its environmental impact

Artificial Intelligence (AI) is now part of everyday life, from sat navs to virtual assistants like Alexa, and advanced tools such as ChatGPT and Copilot. But what exactly is AI, and why does it matter for the environment?

AI refers to digital systems that perform tasks typically requiring human intelligence – such as learning, problem-solving, and decision-making – by processing large amounts of data and recognising patterns. While AI can help us work more efficiently and solve complex problems, it comes with a significant environmental cost.

Running advanced AI systems requires vast data centres, which consume large amounts of energy and water to operate and cool. This increases competition for clean energy and water resources, potentially impacting supplies for food production and drinking water. As a result, it’s important to use AI thoughtfully, minimising unnecessary use to reduce pressure on our energy and water systems, and to limit emissions and water shortages.

AI can be a powerful tool for positive change – improving efficiency in workplaces, healthcare, and environmental monitoring. To maximise benefits and minimise impact, try to make your AI interactions as succinct as possible. Use AI only when it adds real value, rather than for trivial tasks like generating novelty images or shopping lists.

A helpful acronym is GCSE:

• Goal – What do you want to achieve?
• Context – Why do you need this information?
• Source – Where should the AI look for answers?
• Expectation – How should the information be presented?

For example, you might ask your AI tool to:

• Goal: Generate 3 to 5 bullet points
• Context: To prepare for a meeting with Client ‘X’ about a specific phase of their brand campaign
• Source: Focus on emails and Teams chats since March
• Expectation: Use simple language so I can get up to speed quickly

By being mindful of how and when we use AI, we can help ensure its benefits outweigh its environmental costs.