Here is how I used the article below from the Times. Before showing the article, I started with this information and these questions:
How much energy is used for the following?
1. Charging an iPhone 17
In silence, individually, they wrote down their estimates, and then I asked them about the way I had set this up. They told me it was useful to have the first line, so they could compare the other energy uses to that.
We collected their estimates and they each worked out an average. One student made estimates that were vastly different from the rest, so some of them decided to ignore that one when finding the mean.
I showed the answers:
How much energy is used for the following?
1. Charging an iPhone 17: 57.6 kJ
After discussing their answers (they were miles away for the fridge-freezer and for video generation) I asked them to read the article (in printed form), highlighting information they could make use of and any figures they want to check.
Article from The Times, 9 May 2026:
How much energy and
water do our AI tools really use?
AI’s problem is not that
it is hungry, per se
Digging through articles written during the early years
of the internet, you find concerns that can seem oddly familiar. “Dig more coal
— the PCs are coming,” screamed a 1999 Forbes editorial. “Somewhere in America,
a lump of coal is burnt every time a book is ordered online.”
The warnings scarcely need updating. Today fears of an AI
energy apocalypse abound: that video of you eating McDonald’s with Donald Trump
is depleting reservoirs; using ChatGPT as your counsellor is overwhelming the
grid. Proposals for data centres in southern England have even been
rejected over water and energy use fears. How much water and energy does
artificial intelligence actually use?
Let us start with water, which has become a point of
obsession for AI sceptics. A University of California paper suggests that
by 2027 “water withdrawal of global AI is projected to reach 4.2 to
6.6 billion cubic metres” — which is half the water withdrawal of the UK.
It sounds alarming. Except water withdrawal includes water that is, well,
recycled. The same paper says that AI’s total water “consumption” — water that
is evaporated — will be between 0.38 billion and 0.6 billion cubic
metres, about a tenth of the original figure.
To add to the confusion, the figure for consumption includes both water that is used to cool data centres (which is drinkable) and water used in the original electricity generation (which is not). So while each basic ChatGPT request to a US data centre consumes about 17ml, just 2ml of it could be used for drinking.
Put all of this together, as the US scientist and blogger
Andy Masley has done, and it seems that AI will consume between
0.12 billion and 0.22 billion cubic metres of drinkable water in
2027. In other words, you get the entire world’s AI water use for a mere 1.5
per cent of Britain’s drinking water consumption.
These estimates, too, may now be out of date. Sam Altman
insisted last year that ChatGPT used about 0.3ml per query, and a Google Gemini
paper comes to a similar estimate of 0.26ml: that’s 20,000 requests for a
toilet flush.
What about energy? It depends on what we ask of AI. For
both Gemini and ChatGPT, to go by company reports, it’s one kilojoule of energy
per text prompt — the equivalent of running a microwave for a second, or about
2 per cent of an iPhone battery charge.
An MIT paper found that basic image generation required 2-4kJ. But videos can be an order of magnitude more energy-intensive: some reports suggest Sora, OpenAI’s text-to-video tool, used 3,600kJ — an hour of microwaving — to make a single video. But the vast majority of us are not making videos every day. Sora was closed down after a few months partly because it used too much energy relative to how few people were using it.
Zoom out and the total data centre electricity bill is modest. Data centres, including those keeping the internet running, use a mere 2 per cent of global electricity, according to the IEA (of which about a quarter is purely for AI). This will rise to 3 per cent by 2030.
To be clear, we are talking about hundreds of additional terawatts of demand. But the extra power needed for AI this decade is dwarfed by the demand from air-conditioning, electric vehicles and industry — 3 per cent of global energy use is incredibly good value for something we spend many hours a day using. What, then, is all the fuss about?
The world needs energy: not just for AI but for air-conditioning, transport and food production. Industry tends to find a way of supplying it. Better technology will also help us use what we have more efficiently. In 1999, according to Forbes, it took 1lb of coal — 1kWh — to transmit 2MB of data to buy a book on Amazon. Today 1kWh can generate a studio-quality video. Supply will need to grow to match AI’s ambitions. But the worry should be directed not at how much AI uses but at where we choose to build the hubs that power it.
Source: https://www.thetimes.com/comment/columnists/article/energy-water-consumption-ai-explained-72cbd0lzj
Here are some possible
questions to explore:
Q1: A University of California paper suggests that by
2027 “water withdrawal of global AI is projected to reach 4.2 to
6.6 billion cubic metres” — which is half the water withdrawal of the UK.
What is the ‘water withdrawal of the UK’?
Q2: The same paper says that AI’s total water
“consumption” — water that is evaporated — will be between 0.38 billion
and 0.6 billion cubic metres, about a tenth of the original figure.
Is it reasonable to say this is ‘about a tenth of the original figure’?
Q3: So while each basic ChatGPT request to a US data
centre consumes about 17ml, just 2ml of it could be used for drinking.
What percentage of the water used is drinkable?
Q4: it seems that AI will consume between
0.12 billion and 0.22 billion cubic metres of drinkable water in
2027. In other words, you get the entire world’s AI water use for a mere 1.5
per cent of Britain’s drinking water consumption.
Does the 0.12 and 0.22 billion fit with other figures in
the article?
Is the 1.5% figure accurate?
Q5: Using your earlier answers, how much water is used per person per day?
Q6: a Google Gemini paper comes to a similar estimate
of 0.26ml: that’s 20,000 requests for a toilet flush.
How much water is used by a toilet flush?
Q7: What about energy? It depends on what we ask of
AI. For both Gemini and ChatGPT, to go by company reports, it’s one kilojoule
of energy per text prompt — the equivalent of running a microwave for a second,
or about 2 per cent of an iPhone battery charge.
Is this correct?
Q8: Comment on the first graph. What is good/bad about it?
Q9: An MIT paper
found that basic image generation required 2-4kJ. But videos can be an order of
magnitude more energy-intensive: some reports suggest Sora, OpenAI’s
text-to-video tool, used 3,600kJ — an hour of microwaving — to make a single
video.
Is this correct?
Q10: Comment on the second graph.
Q11: On average, how many Chat GPT queries are made per person per day?
Answers
A1: What is the ‘water withdrawal of the UK’?
The midpoint of 4.2 and 6.6 billion cubic metres is 5.4 billion cubic metres. Double this to get 10.8 billion cubic metres.
A2: Is it reasonable to say this is ‘about a tenth of
the original figure’?
Multiplying the new values by 10 gives 3.8 and 6, which are both close to 4.2 and 6.6, so this is reasonable. [Presumably the evaporated water isn’t lost but will reappear as rain?]
A3: What percentage of the water used is drinkable?
2/17 gives 11.8%
A4: Does the 0.12 and 0.22 billion fit with other
figures in the article?
Is the 1.5% figure accurate?
If we find 2/17 of 4.2 and 6.6 (the number of billion
cubic metres originally stated as being used) we get 0.49 and 0.78. This doesn’t seem to be close to 0.12 and
0.22.
Taking Britain’s water consumption to be 10.8 billion (as we found earlier), 1.5% of this is 0.16, which is nicely between 0.12 and 0.22, so it looks good. This does mean that _all_ of the water extracted in Britain is considered to be drinking water.
A5: Using your earlier answers, how much water is used
per person per day?
10.8 billion cubic metres, divided by 365, divided by 70
million people.
1 cubic metre is 1000 litres. That gives us 10.8 trillion litres in total, which, when divided results in 420 litres per person per day. (This isn’t just the amount we use for drinking, washing, cooking, etc, but all of the water used by industry, infrastructure, etc.)
A6: How much water is used by a toilet flush?
0.26ml x 20,000 = 5.2 litres
A7: Yes: 2% of 57kJ is 1.14kJ
A8: Comment on
the first graph. What is good/bad about
it?
We can’t differentiate between the smaller values at all,
because of the outliers that are video generation and the fridge-freezer. But maybe that’s a good thing, because it
shows how massively these two dwarf everything else! To save energy, maybe we need to create fewer
AI videos, and change to a smaller fridge?
A full phone charge uses less than a minute of microwaving-equivalent-energy.
Microwaving for an hour (3600 seconds) is the same energy
usage as keeping a fridge-freezer on for a full day.
The TV is 55”. This is 55 inches, and is a measurement of the diagonal. That’s equivalent to 1.4 metres.
A9: ‘an order of magnitude’ means multiplying or dividing
by 10. Going from 2-4 kJ up to 3,600kJ
involves multiplying by about 1000, so this is three orders of magnitude
bigger.
As noted in A8, 3,600kJ is an hour of microwaving.
A10: Comment on the second graph.
The article was written in 2026, so presumably there wasn’t data for 2025 at that point, and the graph is all a prediction. It is also a prediction of the _increase_, not of the amount.
A11: On average, how many Chat-GPT-equivalent queries
are made per person per day?
(Some of these will be on other systems and some will be
video or images, but I will focus on what happens if they are all Chat GPT requests.) This is difficult to find, because of the
different figures that appear in the article, but here is a possible way to
work it out:
About 5.4 billion cubic metres of water are used by AI, with
17ml being required for each query.
Divide 5.4 trillion litres by 0.017 litres and then divide by 8 billion people and by 365 days. That’s 110 each.
Final comment: The article finishes with Today 1kWh
can generate a studio-quality video.
1kWh is 1kW of power being used for 1 hour. This is 1kJ per second multiplied by 1 hour,
which is 3,600 kJ. This is the figure
used in the first graph for generating a video.
Why the sudden switch to kWh?









