Posted 14th October 2026

AI is being positioned as one of the tools that could help businesses become more efficient, reduce waste and accelerate the transition to a lower-carbon economy. But there is another side to the story. AI also needs energy, data centres and infrastructure. So, when we talk about using AI for sustainability, are we looking at the whole picture?

There is a lot of excitement around what AI could do for sustainability.

It can help businesses analyse huge amounts of data, identify patterns, predict demand and make decisions more efficiently. It is already being explored across areas such as energy management, supply chains, transport and manufacturing. At the same time, we are becoming much more aware of the environmental cost of the technology itself. Data centres require significant amounts of electricity. AI systems need computing power, and that computing power needs infrastructure. There are also questions around water use, hardware and the wider resources required to build and operate these systems.

So perhaps the question isn't simply whether AI can make business more sustainable. It's whether we're using AI in ways that genuinely reduce our overall environmental impact.

With the Blue Earth Summit taking place in London from 14–16 October and techUK's Tech and Net Zero Conference following on 21 October, this is a particularly timely conversation. Both events bring together businesses, investors and innovators looking at how technology can contribute to a more sustainable future.

AI has a footprint too

It's easy to think of digital technology as being relatively clean because we don't necessarily see the physical resources behind it. There is no factory floor in front of us when we ask an AI tool a question. There is no obvious delivery truck or piece of machinery. But somewhere behind that interaction are servers, data centres, cooling systems and electricity networks.

The International Energy Agency has highlighted just how quickly this area is developing. Investment in data centres is growing rapidly as demand for AI increases, while electricity demand from data centres is also rising.

The UK is having to think about this too. Government analysis published in 2026 looked specifically at the impact of growing data centre demand on electricity consumption. Interestingly, the research also found that AI can reduce electricity use per task in some circumstances when it increases worker productivity. In other words, the picture isn't as simple as "AI uses more energy, therefore AI is bad for the environment."

And that's an important distinction. We shouldn't look at the energy consumed by a technology without asking what that technology is replacing or enabling. If AI helps a business reduce unnecessary journeys, optimise energy use, prevent equipment failure or reduce material waste, there may be a meaningful environmental benefit. But if we're simply using AI to generate more content, more activity and more consumption without reducing anything elsewhere, the sustainability case becomes much harder to make.

The opportunity is bigger than efficiency

One of the most interesting applications of AI is its potential to help us make better energy decisions.

The UK's own work in this area is already exploring how AI could support a more efficient, flexible and reliable electricity system. A government review published in 2026 looked at how AI could be used across electricity networks, including improving planning and enabling greater flexibility. This is where the conversation becomes much more interesting.

Imagine being able to understand much more accurately when energy will be needed, where demand is likely to increase and how renewable energy can be used most effectively.

For an individual business, the equivalent might be much simpler.

AI could help identify when equipment is using more energy than it should, forecast demand, optimise heating and cooling, reduce unnecessary stock or identify inefficiencies in a supply chain. These aren't necessarily headline-grabbing applications. But they could have a much more meaningful impact than adopting AI simply because everyone else is doing it.

Don't confuse doing more with doing better

This is where businesses need to be careful. AI is often sold in terms of productivity. And productivity is undoubtedly important. But if we are serious about sustainability, we need to ask a slightly different question.

What are we actually becoming more productive at?

If AI allows a team to complete a task in half the time, that's valuable. But what happens with the time that has been saved? Does it allow the business to focus on higher-value work? Does it improve customer service? Does it enable fewer resources to be used? Or does it simply mean we produce twice as much?

The same applies to sustainability. If AI helps a manufacturer reduce waste by 20%, that's potentially significant. If it helps a logistics company optimise routes and reduce unnecessary mileage, there is a tangible benefit. If it helps a business understand its energy consumption and identify where changes could make the biggest difference, that's useful. But saying that an AI tool is "green" because it can analyse sustainability data is a very different thing.

The technology itself doesn't make the outcome sustainable. The way we use it does.

What should businesses be asking?

For businesses considering AI as part of their sustainability strategy, I think there are some fairly simple questions worth asking.

What problem are we actually trying to solve?

Start with the business or environmental challenge, rather than the technology. If you don't have a clear problem, introducing AI is unlikely to make your business more sustainable.

What will the technology replace or improve?

Will it reduce energy use, waste, travel, materials or inefficiency? Or is it simply adding another layer of technology to an existing process?

What is the footprint of the solution itself?

Where is the data being processed? What are the energy requirements? How transparent is the provider about the environmental impact of its technology?

Can we measure the difference?

This is perhaps the most important question. If a business claims that AI has helped it become more sustainable, there should ideally be some evidence behind that claim. Are energy bills lower? Has waste reduced? Are journeys being cut? Is less material being used?

Without measurement, it is very easy for sustainability claims to become assumptions.

Sometimes the answer might be simpler

There is also a danger that we make sustainability more complicated than it needs to be. Businesses don't necessarily need sophisticated AI systems to start making a difference. Sometimes the biggest opportunity is simply understanding where resources are currently being wasted. AI can help with that, but so can better data, better processes and better questions.

And that matters because sustainability isn't something that should sit separately from the rest of the business. It should be part of how decisions are made. The most useful technology will be the technology that helps a business become more efficient, resilient and thoughtful about the resources it uses.

So, can AI really make business more sustainable?

The answer is yes — but not automatically. AI has enormous potential to help businesses understand their operations better, reduce inefficiencies and find new ways of tackling environmental challenges.

But we also need to be honest about its own footprint.

The UK's energy system is going to have to accommodate growing demand from data centres, while businesses and policymakers consider how that demand can be met sustainably. Government analysis estimates that the emissions associated with AI compute in the UK could vary significantly depending on how quickly AI adoption grows and how quickly the electricity system decarbonises. That uncertainty is a useful reminder that there are no simple answers. The conversation shouldn't be about whether AI is "green" or "not green". It should be about using technology intelligently.

For businesses, that means looking beyond the excitement around what AI can do and asking whether it is solving a meaningful problem, whether the benefits can be measured and whether those benefits justify the resources required. As the technology continues to develop, that is going to become an increasingly important part of responsible innovation. Because ultimately, sustainable technology isn't about having the newest tool. It's about using the right tool to create a better outcome — for the business, for people and for the planet.