シャドーイング練習: How much energy do AI searches really use? - The Climate Question podcast, BBC World Service - YouTubeで英語スピーキングを学ぶ
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I think this is 2025 data.
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I think this is 2025 data.
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AI consumed about 0.5, half of 1% of the world's electricity.
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And you've got to remember electricity is a subset of total energy use.
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So it's more like kind of 0.1, 0.2% of total energy use.
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Hello and welcome to The Climate Question.
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This week we're answering your comments and questions, including what's the carbon footprint of streaming TV?
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And are you a climate optimist or pessimist?
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From the BBC World Service, I'm Greya Jackson.
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Now, let me introduce you to our panel.
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We have Akshat Rati, Senior Climate Reporter at Bloomberg Green.
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Welcome.
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Hi, Greya.
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We have Caroline Steele, host of CrowdScience on the BBC World Service.
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Welcome, Caroline.
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Hello.
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Thanks for having me.
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And the BBC's climate editor, Justin Rowlett.
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Hi there.
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Thank you very much for having me.
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Now, let's have our first question from Albert.
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He wrote, the carbon footprint of electronic devices is significant and growing, encompassing emissions from manufacturing, usage and disposal.
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This was not included in your recent programme, considering how individuals could lower their carbon footprint.
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I particularly abstain from frivolous phone camera and social media use, along with downloading films from Netflix.
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Now, Albert also talked about the carbon cost of AI and data centres, so we'll come to that as well.
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But I just wanted to say that typically in the West, the biggest part of someone's carbon footprint is transport, whether they fly, whether they drive a petrol car, electric car, heating and cooling.
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Their home is also a big part of their carbon footprint.
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And if they eat meat or dairy, then diet too.
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And that is why we focus on it, because those are the most meaningful ways in which people can reduce their carbon footprint.
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But I do really want to talk about this issue of digital carbon footprints, especially when it comes to streaming.
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So Akshat, what is the carbon footprint of streaming, say, an hour of TV or scrolling on social media?
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This is the part of the question that to me is a little bit difficult to answer because there is no simple way of calculating your specific carbon footprint of a particular digital usage.
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So just to try and figure out what the range could be, here's one example from a 2020 study.
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If you had a five-hour Zoom call, your carbon footprint, according to a 2020 study, could be between four kilograms of carbon dioxide to 215 kilograms of carbon dioxide.
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Wow, that's a massive difference.
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Because where you get your electricity from varies.
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What type of computer you're using varies.
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How far your internet has to travel to you, etc. varies.
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there is a huge difference in those numbers.
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But at the end of the day, to me, the amount is actually quite small.
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So again, trying to look at the total impact that internet usage has on the world, it is between three and 5% of CO2 emissions if you account for everything.
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So you are accounting for the emissions of making the electronic products to running them on the internet, etc,
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etc. So it is important that if you're thinking about a personal carbon footprint, those three things that you put in, fly less, eat less meat, and be conscious whenever you can be, is the best way to think about your carbon footprint.
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So Netflix released some data in 2020 and they said it was under 100 grams of CO2 per hour streamed.
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And that's similar to driving a petrol car, 400 meters.
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iPlayer published some statistics in 2016, similar, 98 grams of CO2.
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But again, Purdue University put it up at 440 grams of CO2 per hour streaming.
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So like you say, the estimates really, really vary.
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Caroline, can we look at the carbon footprint of devices, making them and then disposing of them?
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Yeah, so I think it's useful to think about streaming, but a huge part of the carbon footprint of devices comes from the production.
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So I found an interesting report.
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It's a digital economy report published by the UN Trade and Development in 2024 that basically breaks down different devices and their carbon footprint in making them and using them.
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And interestingly, battery-powered devices like phones or tablets, the vast majority of their carbon footprint comes from the production of the device.
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So that's things like extracting the materials needed, shipping the parts all over the world, delivering them to the consumer.
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So making a smartphone produces about 50 kilograms of carbon dioxide equivalent, which is about the same as driving from Berlin to Prague.
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That's before you've even turned your phone on.
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And then in the lifetime of a phone and using the phone, you're likely to only produce about eight kilograms of carbon dioxide equivalent.
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So, you know, that's the vast majority of the carbon footprint there comes from making the device.
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And then for sort of mains powered things like TVs or desktops, there's still a significant chunk in the production, but it's not quite as big.
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So for a TV, producing a TV releases about 200 kilograms of carbon dioxide equivalent.
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But then when you use a TV, you're releasing about 600 kilograms of carbon dioxide equivalent.
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So there it's slightly more shifted towards using the device.
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But I guess this all goes to say that basically something we can do that really makes a difference is keep using our devices for as long as we can, which I know is hard when things like phones aren't really built to last.
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And it's tempting to upgrade and get the best camera and that kind of thing.
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It's hard to fix them as well when they break, although there are some sort of interesting ideas around legislation and how we might reuse our devices more.
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I mean, Justin, AI was also featured in Albert's question and data centres.
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And that's something that you've been looking at.
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Yeah, I mean, I think it comes back to what Akshat said, that actually it's quite a small proportion of most people's carbon footprint.
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And we, for a long time, the big AI companies didn't really release data, but increasingly they're releasing data.
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And it shows that actually the carbon footprint of an individual search is actually extremely low.
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And even if you're doing 10 or even 100, it's a tiny proportion compared to other things that you do.
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Like, I mean, anything that involves heating stuff up typically takes a hell of a lot of energy.
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So boiling a kettle or doing the washing would be much higher than, for example, using AI.
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And the issue with AI, it's quite interesting, the issue with AI is more that the footprint of big data centres is huge and it's where they are.
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So some countries disproportionately are building these data centres.
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For example, in America, it's a huge proportion of additional electricity use, partly actually because America doesn't have a very rapid increase in electricity demand because it's not investing heavily in electric cars and stuff like that.
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So there isn't an underlying demand.
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So a larger proportion of it's in data centers and obviously the big AI companies are there in America.
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But so so it may be an issue locally in America, but it's not a huge issue in terms of people's carbon footprints.
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I was just looking at some studies on it.
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If you I think this is 2025 data data, AI consumed about 0.5, half of one percent of the world's electricity.
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and you've got to remember electricity is a subset of total energy use so it's more like kind of 0.1 0.2 percent of total energy use
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so it fits very firmly um in Akshat's point about you know go for the big stuff you know if you're worried about your carbon footprint probably start focusing on the big stuff first of all and then kind of start to worry about how many
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AI searches you're doing worrying about things like you know the carbon footprint of activities yeah yeah and I guess the other thing to point out is these
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devices have a huge number of benefits right they enabled us to access information that we never would have been able to you know 20 years ago
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ai has lots of benefits you know when you talk to a i spoke to nvidia about this and they had like they did real off fantastic
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examples of you know ai used to sort sort um you know rubbish in in in rubbish centers to separate it out you know use cameras and they identify
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i mean all sorts of things predict you know really fine uh weather forecasts that allowed you to turn off power generation from fossil
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fuel sources to balance off you know in anticipation of the wind picking up and there being more kind of wind power for example so all sorts of applications i
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mean i don't think anyone's done a good peer-reviewed article that looked at the impacts but clearly there are a balance on either side although i suspect at the moment that there's a kind of net draw of additional energy from ai than a contribution from it just because it's quite a novel technology.
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Caroline?
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I have a question.
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Oh!
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Are you writing?
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Just click on the top of the screen.
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Comment below or email the client.
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I thought I'd use one.
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We'll address it in a future program.
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Go on.
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So is AI significantly worse than doing like a normal search engine search?
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So if you just say Google something, is that better than asking AI?
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Yes.
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Why is that?
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Google doesn't automatically serve you an AI answer, which it does.
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It does now.
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So about 10 times is a good rough number to know between a normal Google search, searching for a Wikipedia page or doing a question search.
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And the problem, the issue with AI, obviously the degree, the kind of questions you ask from a simple, I mean, lots of people use AI to effectively do the kind of search that you do on Google any other search engines, lots of other search engines available by the way.
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But if you do a really complex one, if you're asking for detailed analysis or even more so if you are agentic AI,
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if you're asking the AI to go off and do stuff for you and maybe commission additional kind of searches or you know or AI activities then obviously there's a huge multiplication of the amount of effort it takes.
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A hundred thousand, like if you're asking it to book a flight it could cost a thousand times one google search.
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Wow.
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But the other thing that they do, so they're trying to rationalize it.
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So if it's a familiar search, then it's kind of bounded.
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They don't do a huge kind of scrape of the internet.
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They kind of know roughly where the good sources are.
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And so it will use those.
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And then if you demand a deeper search, obviously that takes considerably more kind of energy and activity.
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To me, any activity that uses electricity is getting cleaner anywhere in the world.
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And so your carbon footprint falls, but there are other impacts that come with it.
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You know, we won't talk about water, but water is a huge problem for data centers because they use it to cool and they are often built in places where there is water stress already.
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So it's less about carbon from an AI perspective, but all the other stuff that matters.
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What does this mean in the future, given that we're probably going to be relying on AI much, much more than we currently do?
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Does that, even though the electricity is getting cleaner, like how do these two things balance out?
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Well, as much as we are worried about carbon footprints, tech companies are worried about the cost of getting these searches served to you.
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Right now, most people don't pay for the AI searches that they are doing.
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And so they are really trying to cut their energy use down just to save money, if not to save carbon.
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So we have already seen a lot of efficiency gains coming through in AI searches, some that Justin talked about, where they are familiarizing a model with the types of searches that have done in the past and then serve you a quick answer.
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That will likely continue.
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But so will the types of uses that AI can be put to.
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Book your tickets now, maybe you'll start to write essays for school goers, all sorts of applications that we don't know.
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So I think we are stuck in that place where people continue to use more and more AI and we are going to have to continue to find ways to cut its energy use and its carbon footprint.
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Right.
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OK.
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So collectively, the impact is relatively small.
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So individually, it's just absolutely tiny part of your carbon footprint.
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Let's move on to our next question.
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It's from Jim and he wrote to the climate question at BBC.com.
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I listened to the latest episode and I smiled when Jordan, that's my co-host, said that climate change and earthquakes might go to the top of his nightmare list.
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It made me think there is so much to worry about when we look at the state of our planet and hosting a show like yours must bring even more worries.
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Jokes aside, I often feel that young people and all of us can feel overwhelmed about the future.
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Now, Jim does go on to suggest we should make a programme about young people and climate, which we will do.
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But I thought we could all just go around and give one reason for pessimism and one reason for optimism.
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You can choose which way around you want to do it.
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Justin, do you want to kick us off?
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Let's start with pessimism.
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I mean, when you're a climate journalist, as I am, your email inbox fills up literally on a daily basis with a silt of emails,
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with really worrying kind of studies and reports from around the world about what's happening, not just in terms of the changing climate, but the impact of climate on ecosystems and other environmental destruction.
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So, you know, you get a I mean, you know, a real kind of I mean, it's a proper doom scroll in the true sense of doom as you go through your inbox.
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So you become acutely aware of the pressures there are on the world and the way that, you know, the climate's changing.
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But on the other hand, equally, you know, there are some really positive developments.
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I mean, we've touched on them already.
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You know, potentially AI could be a hugely powerful force for making the world more efficient, making us use energy more efficiently,
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finding new ways to use energy or create kind of, you know, the molecules that we need to, you know, fire factories and that kind of stuff.
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So I think, you know, it's a real balance.
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It's a balance between on the one hand, kind of, you know, pessimism and concern about the changes that are happening, how rapidly they're happening, you know, more than 30 years on.
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And we're in the 31st years of the cycle of the UN climate talks.
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And we're only, I mean, the good news is we're beginning to see, it seems, emissions begin to level off, concentrations still rising of CO2 in the atmosphere.
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So, I mean, this gives you a sense of the mix.
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We've reached a very high peak in terms of emissions.
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If we do peak and start to reduce, we need to reduce really rapidly if we're going to avoid the worst impacts of climate change.
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So it's very finely balanced, Graeme.
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Mixed bag.
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Caroline.
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OK, optimistic.
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A reason to be optimistic.
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I guess in my job, I'm lucky in that I get to see and visit scientists who are doing amazing things to tackle climate change.
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So, for example, earlier this year, I spent some time with scientists on the Great Barrier Reef in Australia who were growing heat resistant coral and planting them on the reef and already seeing tangible results and reducing coral bleaching.
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So, yeah, those kind of examples make me feel hopeful.
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And also, I think there is something in kind of choosing to be optimistic in a way.
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I mean, research shows that there is a correlation between being generally optimistic and being physically and mentally healthier and happier.
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And it kind of also feels like we kind of have to choose to be optimistic otherwise we won't do anything So even though I I would say my like my my core is sad Yeah, exactly.
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I like to choose to be optimistic so I think that will help me make more of a difference There is actually a report on this and it's called the Goldilocks zone Mmm, okay where you've got enough sort of anxiety to motivate
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But not too much so that you're paralyzed and not too little so you don't you kind of just you're like You make it sound like a very fragile pattern.
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It feels like a fragile pattern.
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So on the pessimism, I'd go one step further by saying, given climate change is the only problem for which there has been global governance of any sort.
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You know, not one for pandemics, not one for AI robots, not one for nuclear weapons, really.
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There isn't a global pact.
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Some countries have a pact to try and reduce weapons.
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Some countries just pulled out of that.
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Exactly.
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So if we can't solve climate change with all the facts that we know and a global governance system, well, I feel pessimistic about the other problems.
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But on the optimism side, to me, climate has always been not just about climate change, but how much it can do good for the world, the types of solutions that we work on.
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And one really tangible one right now, you know, we are living through what is the worst energy shock that the world has experienced.
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This is the International Energy Agency telling us that.
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and look at power prices in Europe.
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They're actually pretty reasonable.
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They've gone up.
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It's not to say it's not higher than it used to be, but not as high as it was in the 2022 energy crisis.
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And one of the key reasons is because at that time, we were able to install a lot of renewables and electrify a lot of our economies.
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And that happened just four years ago.
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So to me, the scale at which we can start to deploy many of these technologies and solutions have benefits outside of the climate problem.
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And that's great.
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Just on a pessimistic note on that, I mean, but it's still a tiny proportion of total energy use.
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I mean, the scale of the transformation we need is absolutely huge.
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But in a way that should, I think, exactly in the spirit of what you say, should be a source of optimism because we're in the middle of a really exciting industrial revolution that will create jobs and industry for millions, tens of millions, billions of people and a cleaner, you know, world.
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So I think, you know, that's another strong optimistic point there.
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Yeah, I think I get a lot of optimism from people who I meet on this, you know, through this line of work, doing really incredible, ingenious things every single day.
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But anyway, we must round it off and finish there.
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Thank you so much to Caroline Steele, Justin Rowlatt and Akshat Rati for joining us.
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Thank you.
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Cheers.
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Thank you.
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Thanks.
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And thank you so much for watching.
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Don't forget to subscribe to the BBC World Service YouTube channel so you don't miss future episodes.
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and whilst you're there, drop us a comment, tell us what you like, don't like, perhaps you have a question for us and we'll feature it in a future show.
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I'm Grae Jackson and I'll see you next time.
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このレッスンでは、AI検索のエネルギー消費とカーボンフットプリントについての情報を基に、英語での聴解力と会話力を向上させることができます。特に、ビデオ内で話される内容を影響力のある表現やボキャブラリーを使って練習します。聞いたことを実生活に応用することで、英語での自信を高めましょう。また、shadowing siteやYouTubeで英語学習を活用して、反復練習をさらに深めることができます。
重要な語彙とフレーズ
- carbon footprint（カーボンフットプリント） - 環境に与える影響の指標。
- streaming（ストリーミング） - 映像や音声をリアルタイムでインターネットで再生すること。
- electricity（電気） - エネルギーの一形態で、多くのデジタルデバイスに必要。
- digital devices（デジタルデバイス） - コンピュータやスマートフォンなどの電子機器。
- manufacturing（製造） - 製品を作るプロセス。
- emissions（排出） - 特に二酸化炭素などのガスを環境に放出すること。
- usage（使用） - 製品やサービスの利用。
練習のコツ
ビデオのスピードとトーンに合わせて練習するために、shadowspeakを試してみることをお勧めします。まずは一文ずつ聴き、その後で声に出して真似をしてみましょう。特に、発音やイントネーションに注意を払って練習すると効果的です。また、話者の感情や強調を意識しながらリピートすることで、自然な話し方を習得できます。shadowspeaksのスタイルで耳を鍛えると共に、英語のリズムを身につけましょう。何度も繰り返して練習することで、あなたの英会話スキルが大きく向上することが期待できます。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。