Topic

Artificial intelligence (AI) in healthcare - is anyone measuring the climate impact, and how can we mitigate it?

Jennifer Nixon
Jennifer Nixon • 23 July 2026
15 comments

The hospital trust I work for has recently announced plans to widely implement AI ambient voice technology (AVT). Many of us have concerns from a clinical, educational and data governance perspective, but my biggest concern is the environmental impact. From what I can understand, no one knows the environmental impact, because companies don't release that information. But we know it is huge, with estimates (from the United Nationas University) is that "By 2030, the global data centres powering artificial intelligence are projected to consume 945 terawatt-hours of electricity. This is nearly triple the combined annual electricity use of Pakistan, Bangladesh, and Nigeria—countries collectively home to more than 650 million people. Their associated water footprint will equal the basic annual domestic water needs of all 1.3 billion people in Sub-Saharan Africa.

I've also quickly realised that this is not just individual trusts or GP practices, this is being driven by national policy. But without understanding the environmental impact of it, how are we able to take account of this in the NHS's legal (and hopefully moral) obligation to reach net zero? And without this information, how can those of us required to use these tools (as it appears we may not have a choice in it) make an informed decision about how we use them? 

I'm a clinician, and know nothing about AI, so apologies if these are silly questions, but I haven't been able to find the answer searching here so far. I would be really interested to hear if anyone:

  1. Has any concrete data on AI environmental impact for individual companies (eg Heidi, one of the most popular AVT tools)?
  2. Has any suggestions on how we can challenge AI roll outs- if we can't stop it, how can we ensure that the greenest options are chosen (especially if there is no actual data)?
  3. If you already have AVT/other widespread AI in your organisation, do you have any policies in place to ensure they are used in the greenest way possible? Or again is that impossible if no one can measure the impact?
  4. In view of the above, is there anything we can do to hold the AI companies to account and get them to release their emissions/water use etc data?

Thank you!

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Comments (15)

Michael Jackson
Michael Jackson • 2 weeks ago

Thanks for raising this Jennifer - these are definitely not silly questions! I am a paediatric radiologist, and in recent weeks we have been trialing some new AI-powered MRI sequences which look like they are both faster and better quality than our previous images. This is potentially good news for patients, particularly very young patients as they may be able to avoid a general anaesthetic, both safer and avoiding the greenhouse gases of anaesthetic agents. However, to weigh up whether these potential benefits are not outweighed by the energy and water costs associated with the AI we need transparency, which at present is hard to come by. I was at a big radiology conference in Vienna earlier in the year (took the train!) and was asking all the AI salespeople if they could provide figures on carbon footprint or water consumption and didn't get very far. I am trying to raise awareness of this issue within radiology, but agree this needs to be raised at organisational level and across society more broadly (how much energy is being used for generative art and videos for purely recreational purposes?). Sorry not to actually answer any of your questions apart from number 4 - worth writing to your MP.
Best wishes,
Michael

David Russell
David Russell • 2 weeks ago

Hi Jennifer! I'm one of the only Health Managers in Australia involved in the sustainability impacts of AI datacentre hyperscaling and I've been watching this closely. First world governments are rapidly moving to set policies for datacentres to build their own power (gas turbine and solar have been primarily purchased globally so far) and to contribute to the grid instead of taking from the grid, and some datacentre providers are also plugging into recycled water (grey water) to cycle evaporate cooling needs for APU and GPU chips instead of burning through the local drinking water. in Australia almost 3% of all power produced now goes to cloud centres and AI datacentres, with a projected 8% by 2030, with the biggest power draw being AI training rather than image generation or prompts. I understand Ireland is aparrently experiencing one of the biggest electricity-demand burdons from AI datacentres in the world over there.

Our solution in health for the monitoring and restriction of wasteful AI generative and iterative use is an enterprise AI portal on our computers and devices(not built yet), that gatekeeps all AI usage against rigorous usage policies, and measures the upstream/downstream impacts on cost and emissions. We cant restrict personal devices obviously, but its a huge step forward for annual reporting, waste restriction, and usage research in health.

Bex Cooper
Bex Cooper • 2 weeks ago

Hi Jennifer :)
Thank you for raising this. I'm a Director/Practice Manager at a private dental practice in Cumbria, UK. I'm sorry I haven't got any answers to your questions at this time; I'm replying as our team were asking similar questions in our practice meeting yesterday. Over the next month we will be auditing our use of AI and putting policies in place to ensure responsible/environmentally conscious use. I will keep you updated.
Best regards Bex

Andrew Smith
Andrew Smith • 2 weeks ago

I share your concerns. As a sustainability data analyst I've been looking for articles that do a deep dive into the numbers. Hannah Ritchie, a data scientist on environmental issues has written on the carbon footprint of using ChatGPT:
https://hannahritchie.substack.com/p/carbon-footprint-chatgpt
https://hannahritchie.substack.com/p/ai-footprint-august-2025

Andy Masley is another person who writes extensively on AI & data centres:
https://blog.andymasley.com/p/individual-ai-use-is-not-bad-for
https://blog.andymasley.com/p/a-cheat-sheet-for-conversations-about

These articles mainly look at carbon emissions. Data centres consume a lot of electricity, but as our electricity moves away from using fossil fuels and becomes 100% renewable, the carbon footprint is vastly reduced. Unfortunately in the U.S., Trump is pushing for increased fossil fuel burning to generate electricity which will increase the carbon footprint of data centres in the U.S.

There are other environmental impacts of data centres, including water consumption and the heat island effect.

Jeanette Carter
Jeanette Carter • 2 weeks ago

I completely share your concerns. I am part of the Green AI community of Practice that meets monthly, it is an open forum. Last meeting there was a presentation on AVT and sustainability, might be worth joining.
I am also part of a sub group who are looking at the digital sustainability and AI - guidance for project teams hat has come out from Department for environment food and rural affairs to see if this is being used/practical. https://www.gov.uk/government/publications/defra-digital-sustainability…
Hope this helps

Gareth Thompson
Gareth Thompson • 2 weeks ago

There is work ongoing on this in the Green AI community of Practice mentioned above. In Spring 2027 there is due to be guidance released by NHS Greener called 'Greener by Design'. it will address both upstream sources of impact and downstream user mitigations (both are needed because a lot of environmental impact originates with the supplier upstream - likely most of it) . attached are some guidance papers from DEFRA and NHSE

DEFRA_Digital Sustainability and AI Guidance for Project Teams.pdf186.09 KBpdf
NHS England Generative-AI-Guidance-v1.0.pdf214.79 KBpdf
Jennifer Nixon
Jennifer Nixon • 1 week ago

Thank you Gareth. Unfortunately I think Spring 2027 will be too late for us, as they are planning to implement before the end of this year. But may be useful to inform any user guidelines if it does come in. And can I ask, the NHS England Guidance you have attached says the only Generative AI tool approved for the NHS is Microsoft copilot, does that mean that all the Ambient Voice Technologies are considered not generative (although they summarise what is said rather than just transcribe) or that they aren't approved? Or just that they weren't approved at the time this was written but that things have moved so fast that they now are? If the former, are you aware of any similar NHSE guidance for the AVT type of AI (rather than the generative type)? Showing my ignorance of AI here!

Gareth Thompson
Gareth Thompson • 1 week ago

Jennifer Nixon Yes AVT is generative AI because it uses LLMs to understand context, not just transcribe voice to text. The older voice recognition technologies simply transcribed voice to text without any attempt to understand the context. I don't know if any AVT AI systems have been 'approved' for use.

Holly Warner
Holly Warner • 2 weeks ago

Thank you for asking this question, we've been discussing this within my team also as my Trust is looking to move to AI for documenting consultations in the coming months

Jennifer Nixon
Jennifer Nixon • 1 week ago

Thank you everyone, these links are all really helpful, as is hearing that others are in the same boat. Hopefully together we can find ways to mitigate some of the huge potential environmental harm

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