One of the Biggest AI Boomtowns Is Rising in a Tech-Industry Backwater
Blackstone and TikTok’s parent are among those investing in data centers in Malaysia’s Johor, known for palm-oil plantations
Blackstone and TikTok’s parent are among those investing in data centers in Malaysia’s Johor, known for palm-oil plantations
ISKANDAR PUTERI, Malaysia— Gary Goh was the chief executive of a publicly listed property developer three years ago when prospective clients started asking whether his company had land for data centres.
Goh was vaguely aware that technology companies needed computer centres to manage heaps of data, but he had never seen such a building. “I didn’t know whether it was round, was it a rectangle, was it a triangle?” he said.
But after the 10th inquiry, Goh realised the tech industry was about to spend billions of dollars on data centres in his sleepy corner of Malaysia. So he quit his job to cash in.
Nowhere else on Earth has been physically reshaped by artificial intelligence as quickly as the Malaysian state of Johor. Three years ago, this region next to Singapore was a tech-industry backwater. Palm-oil plantations dotted the wetlands. Now rising next to those tropical trees 100 miles from the equator are cavernous rectangular buildings that, all together, make up one of the world’s biggest AI construction projects.
TikTok’s Chinese parent company, ByteDance , is spending $350 million on data centres in Johor. Microsoft just bought a 123-acre plot not far away for $95 million. Asset manager Blackstone recently paid $16 billion to buy AirTrunk , a data-centre operator with Asia-wide locations including a Johor facility spanning an area the size of 19 football fields. Oracle last week announced a $6.5 billion investment in Malaysia’s data-centre sector, though it didn’t specify where.
In all, investments in data centres in Johor, which can be used for both AI and more conventional cloud computing, will reach $3.8 billion this year, estimates regional bank Maybank.
“At first glance, Johor seems unlikely, but once you double click on it, it makes a lot of sense,” said Peng Wei Tan, a Blackstone senior managing director who helped lead its acquisition of AirTrunk.
To understand how one of the first boomtowns of the AI era sprouted at the southern tip of the Malay Peninsula, consider the infrastructure behind AI.
Tech giants want to train chatbots, driverless cars and other AI technology as quickly as possible. They do so in data centres with thousands of computer chips, which require a lot of power, as well as water for cooling.
Northern Virginia became the world’s biggest data-centre market because of available power, water and land. But supply is running low. Tech companies can’t build data centres fast enough in the U.S. alone.
Enter Johor. It has plentiful land and power—largely from coal—and enough water. Malaysia enjoys generally friendly relations with the U.S. and China, reducing political risk for companies from the rival nations.
The other important factor: location. Across the border is Singapore, which has one of the world’s densest intersections of undersea internet cables. Those are modern-age highways, enabling tech companies to sling mountains of data around the world.
“This Johor development isn’t for serving just Malaysia,” said Rangu Salgame , chief executive of Princeton Digital Group, a data-centre operator that counts some of the world’s biggest tech companies as clients. “This is AI being deployed globally.”
Salgame said companies previously built data centres in Singapore because of its interconnectivity. But in 2019, the tiny and densely populated island nation put a moratorium on new centres because of energy constraints. So data-centre operators did the next best thing, which was to go an hour across the bridge.
While Amazon , Google, Meta and other tech giants run their own data centres, they also rely on third-party data-centre operators for 30% of their needs in the U.S. and about 90% of their needs internationally, Salgame said.
The third parties construct data centres, which cost $1 billion to $2 billion each. Tech companies act as tenants, installing their own hardware inside. Most Johor data centres are run by third parties, which don’t necessarily have agreements with tech clients before starting projects.
“We’re going in speculatively,” Salgame said.
Salgame said he gets insights from big tech companies before beginning projects, so he has a sense of what they want. And the sense now is they want Johor.
Salgame predicts that the Malaysian state will become the world’s second-biggest data-center market within five years. “I’ve never seen anywhere in the world come up at this speed,” he said.
The industry measures data-centre markets by the electricity they use. Northern Virginia has about 4.2 gigawatts active and an additional 11.4 gigawatts under construction, committed or in early stages, said Vivian Wong , an analyst at research firm DC Byte.
Johor, after having less than 10 megawatts—or 0.01 gigawatts—three years ago, now has 0.34 gigawatt active and an additional 2.6 gigawatts under construction, committed or in early stages.
Government officials have mostly encouraged the investments, streamlining the permitting process. Salgame said his company’s Johor center was proposed, constructed and operating within 15 months.
But the mayor of Johor Bahru, the state capital, said the government must balance economic benefits with local needs. He said it should consider building desalination plants, among other things, to ensure locals have enough water. The area has faced shortages.
“We know that people are too hyped about data centres,” said the mayor, Mohd Noorazam Osman, at a recent conference.
After quitting his property-development job, the 40-year-old Goh started consulting for potential land buyers and sellers. His specialty was knowing which sites among the plantations and swamps could be easily converted into data centres.
He found success in the Johor city of Iskandar Puteri, where telecom carriers recently broke ground on a 42-acre lot across the street from a McDonald’s. The site isn’t perfect. A hill needs to be flattened before further construction occurs.
But on a recent sweltering day, Goh pointed at the power lines and light-blue water pipes running through the lot, signifying easy access to electricity and water. “These conditions are hard to come by,” he said.
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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.
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