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The AI boom means that data centers are being built at an unprecedented pace around the world

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and Isaac, one country in Asia where the build-out is really obvious is Malaysia.

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That's right, Mariko. Malaysia has emerged as an AI hub in Southeast Asia.

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The country produces a lot of components that go into chips that help power AI technology.

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The country has also been aggressively building data centers.

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Now, the economy in Malaysia is expanding thanks to this boom,

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but there's some pushback too.

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Yeah, and the big question is whether or not those concerns about data center are justified.

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And also, how is the pushback against them affecting Southeast Asia's effort to get a slice of the AI boom?

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Every application you use, whether it's with AI or without AI, has to come from somewhere.

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It's not just a little computation that's done in the cloud, right?

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The cloud is actually hosted in a physical location called a data center.

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One of the things that in these data centers they have is that they will have a lot of network cables, a lot of what they call server racks that is responsible for the computation, and then also the cooling, the energy requirements on there.

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And usually the facilities are managed by very, very few people.

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So the reason why that has been going was because the compute usage has gone up significantly, probably powered a lot by ChatGPT, Cloud, or every other AI application out there.

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And that is why we need to, because we need data centers and we need large sources of land,

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you're going to see large sources of construction, there is changes in the environment,

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changes in maybe many normal people's daily expenses.

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So that's why it's now become a big subject.

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Yeah, indeed.

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And yeah, because I was looking at, I think in the UK, there were some protests against

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those data centers being built in your backyard, also in the United States.

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But Isaac, here in Asia, Malaysia kind of stands out in terms of the number of data centers being built.

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How did Malaysia become such a hub in terms of this AI boom?

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I think the big contributor is back in 2019 when Singapore implemented this temporary ban.

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So developers had to look elsewhere to put their data centers.

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And so they looked into neighboring Malaysia, Johor.

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Its proximity to Singapore makes it a perfect place to build data centers,

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which you can see now, 85% of Malaysia's data centres are located in Johor.

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Furthermore, the government put out incentives

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that sort of draw in foreign investors to invest in the country.

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So Bernard, Isaac just talked about Singapore's restrictions on data centres back in 2019.

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Can you just explain why that was?

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It's actually not so much a ban, it's kind of a moratorium

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because I think the Singapore government is very prudent

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about how they're thinking about the electricity

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outages that have been going on.

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They're mostly caused because of a spike in demand

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in computing.

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And I think post 2024,

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when there was also the US banning China

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for having the NVIDIA chips

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and a lot of the Chinese founders

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from the Chinese tech companies,

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they require another place

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where they could actually have

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a source of good compute.

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So that also drives in a lot of foreign director

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investments into Malaysia as a result. So it's a combination of factors. We also talk about, say,

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things like legislation changes. Somewhere between 2019 to 2023, a lot of the Southeast Asia

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countries started to have what we call data sovereignty laws. So data sovereignty laws say,

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for example, Malaysia said we need to have something like the data must be hosted in Malaysia.

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Indonesia certainly say the same. So it also prompts the hyperscalers to say, okay,

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we probably need in order to allow our businesses to operate in these countries,

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we have to set up the data centers.

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And that build up, I think, started as of when that period started.

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And I have to say, they don't look that pretty to have in your back garden.

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But Isaac, can you explain?

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I mean, it's not just geography of where Malaysia was, right?

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That all the investments started pouring into the country

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because it has been producing a lot of components, tech components.

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So how have all these data centers being built? How has it helped the economy?

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And can you just explain the background of Malaysia's economy?

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Yeah, like billions of dollars are being poured into Malaysia's economy.

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And according to the International Monetary Fund, this year alone, it's expected for Malaysia's GDP to grow by at least 4.7%.

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Now, the government obviously has a dream of being at the frontier of this AI revolution.

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So it's investing a lot. It's offering eligible companies incentives.

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For example, some of them could apply for income tax exemptions.

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Others could even apply, could get like investment allowances.

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So all these incentives are the government's steps to make that dream a reality.

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But of course, there has been quite a lot of protests and you actually spoke to somebody.

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So can you just tell us what she told you, what her concerns are?

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Yeah, I spoke to Itha Malayana.

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She's a 26-year-old English teacher.

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So in July, she saw the news that a data center was being proposed in her community.

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And she basically just said, no, not in my backyard.

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And that concern is because she saw what's happening in the US, the huge backlash against

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data centers, and she didn't want that to be in her community.

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So she goes online and she creates this petition.

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And what really stood out for me is that in that petition, she started with a really famous

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quote about how when the last tree falls, people will realize that they can't eat money.

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And I asked her about that.

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She said that quote basically encapsulates everything that she's standing against the

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data centers.

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And this is what she has to say.

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One of the justifications of data centers is that local industry workers would get trained

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and hopefully get to develop this industry in Malaysia.

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But I think I've read very briefly on this, but it seems like that's not going to be the

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case at all.

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Like they're just going to set up these servers and then have a few people managing it.

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But it's not really going to be like a skill transfer thing.

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I could justify using AI in like medicine or like, I don't know, astrophysics.

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But why do we need it to decide what we want for lunch or solve a relationship problem?

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Bernard, what do you think about what Aoife said?

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I think there are a few parts of what it comes to when a data center comes online.

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So before the data center is actually built, that actually brings in what we call construction jobs.

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Now, once the data center is complete and completed,

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then the management of the data center is taken over by, say, the hyperscaler.

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They typically, it's actually very few people, as she rightfully pointed.

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So what happens here is that then you have a few workers that is actually able to, if there's any anomalous things happening within the data center, they will be the person to resolve the issues on that.

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But then when you look out to the bigger economy, right, then you think about what the data center is actually driving.

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The data center, the real focus is actually to drive more what we call the digital economy.

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So the digital economy could be in the form of, say,

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maybe knowledge-based work.

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It could be new kinds of jobs that may be created out of this AI.

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I know we are now in what we call a transition stage.

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And so the big fear is the job displacement is larger than the job creation.

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Yeah.

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The only answer to what she's saying is the creation of new jobs.

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Is there going to be more than or less?

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That question, I don't know.

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I would prefer to be much more humble to say I don't know.

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But I think we've seen different iterations of technological change.

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And so far, every time it happened,

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we seem to end up creating more jobs.

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If you're just looking at this current time period,

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when's the data center built?

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She's effectively right on that.

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But how the data center creates value

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for the digital economy within that country,

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that is not so clear to me.

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But would that be within that country?

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Because couldn't you argue that those new jobs created,

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thanks to the AI boom, might be outside of Malaysia?

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So that was the whole reason why every country

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now has their own Data Sovereignty Act.

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Yes, you can host other data from other parts of the world,

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but you still have a sustainable holding.

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And every business out there who needs,

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whether it's a neocloud or hyperscaler,

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they have to invest in Malaysia in order to get that part of the economy.

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And they have to drive the local economy

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because what they don't really want is having everyone,

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the local communities holding pitchforks and say,

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hey, you know, we want to burn down the data center.

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That is also a cause of concern for them.

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And I think that stability also becomes part of the conversation.

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How has the Malaysian government been speaking about this ambition,

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their ambition to be the AI hub, but also concerns from those local residents over jobs,

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but also about the environment. I previously mentioned that Johor currently houses about 80

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to 85% of the data centers in Malaysia. So in the state of Johor, the government has banned two tiers

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of data centers. First is a tier one and tier two. Those are data centers which consume about 50

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million litres of water a day. And that amount is basically about, it could satisfy the people's

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daily drinking needs above 25 million people. So the government has stopped those data centres

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from being built. It has also introduced penalties where if the data centre operator said that

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this is the amount of electricity it's going to use per year, if it doesn't need 85% of it,

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they're going to find the operator.

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There's actually a metric to look at data centers.

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It's called power usage effectiveness,

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what they call the PUE metric.

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So if you think about, say,

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currently Singapore is mandating

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that all data centers must be below

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what is called 1.25 PUE.

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Okay.

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Malaysia, I think it's 1.4.

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So there are two aspects of the problem.

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So one of them is the water problem.

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The water problem is real

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if they do not try to recycle the water for the data center's cooling.

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So there are actually already known solutions to that.

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So there is something called StatePoint Liquid Cooling.

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A couple of companies actually started in the US.

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But how do they do it?

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So basically, you reflux the water.

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There is an entire recycling technology on that.

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The more concerning part of this is actually energy.

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Because of the usage of AI is exponentially growing,

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the energy usage is also growing exponentially

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and we are actually filling it.

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So a lot of it is due to poor demand forecasting of power.

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If you think about, look at the region as a whole,

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countries, I mean, Singapore is already doing that.

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The next data centre you build,

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you have to have a certain energy,

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that means the energy you use,

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some parts of it must come from renewables.

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Then as you go to say Malaysia, for example,

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then the question is what kind of,

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they definitely have energy,

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they have petroleum, oil,

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so they can hydrocarbon so you can power some part of it then the question is do they want to

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rely on other mixes because the there is no way now that uh just by using a carbon they are able

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to run that they also you also bring about the increase of climate change as well and malaysia

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has the ambition to be that ai hub in southeast asia and it really wants to achieve that so i

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think the government needs to balance between addressing the people's concerns while also

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taking realistic steps to make those dreams a reality of being an AI hub. So the Malaysian

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government, the Prime Minister announced that the young people will be able to access a three-month

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free subscription to some of the AI models and that is basically to allow them to explore the

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AI models, play with it and even to perhaps boost their creativity and improve their digital skills.

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So the government is taking an active step into making the country embrace AI.

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But I guess we'll see how the government addresses the people's concerns.

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Will they keep building data centers for now with, I guess, stricter regulations, Isaac?

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I think so, honestly, because the people's concerns about data centers are valid.

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And for example, you heard from Ether herself that she said that she doesn't want Malaysia to become like the US,

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where the people actively push back against data centers

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because she's questioning why is data centers, AI, relevant or even important?

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Because we've heard from the AI company CEOs themselves

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that they say that this AI revolution is inevitable.

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But she's questioning that.

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So I think we'll hear more and more people having similar concerns as Ether.

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One interesting example of a country that's in this AI revolution

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that's not very much we would think about is China.

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so where China is pretty effective

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is the energy infrastructure

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so they have built up

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most of the energy infrastructure

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they have built up

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most of the

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renewable energy mix

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what they don't have

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is now the chips

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and the AI models are lagging

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basically 3 to 6 months

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depending on who you talk to

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on that

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but if you look at say

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there was a survey done

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80% of Chinese

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are hopeful about the AI future

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and then if you do the same survey

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in the US it's only 31%

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So the question is, what's the big difference, right?

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So I think a lot of it is in whether we're optimistic

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that the AI will bring about sort of a growth of a new economy.

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And there are some things that I think people take it to the logical extreme.

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If AI was to do everything of this, then what should humans do, right?

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I think the way I would probably want to moving ahead,

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I think that there is actually human creativity is actually infinite.

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The demand for human creativity is actually infinite.

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And I think for that, because of that, even if AI can automate most of the things,

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there are still things for us to do.

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Yeah, really insightful conversation.

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Thank you so much for joining me, Bernad and Isaac.
