Nvidia and Micron Technology just received some very bad news from an unlikely place

Australia is a relatively small country in terms of population, with only 28 million people. But it has become a major hub for artificial intelligence (AI) data center projects due to its vast area and favorable political climate. In fact, an Australian company called Firmus built a data center in Melbourne that hosts the largest cluster of Nvidia(NASDAQ: NVDA) Blackwell Ultra chips throughout the southern hemisphere.

Last week, Firmus was on track for one of the largest initial public offerings (IPOs) in the history of the Australian stock market, reportedly raising around $5 billion (US dollars) at a valuation of $30 billion. The company was going to use the funds to build more data centers in Australasia to expand its customer base, which already includes OpenAI and Metaplatforms.

Did you miss “Act 1” of AI? Act 2 could be 14 times bigger. Most investors think they missed the AI ​​boat because they didn’t buy Nvidia in 2005. But according to our analysts, we’re only at the end of “Act 1,” the R&D phase. “Act 2” is the global rollout. Continue “

However, Firmus pulled the plug on its IPO at the last minute due to a lack of investor demand, suggesting that funding may be starting to dry up for the AI ​​industry. Mounting losses at some of the world’s largest AI labs are a growing concern, and rising interest rates offer many investors a risk-free alternative for their money.

Here’s why this development could have negative consequences for semiconductor suppliers like Nvidia and Micron technology (NASDAQ:MU).

Two engineers observe a mobile device in front of stacks of supercomputers in a data center.
Image source: Getty Images.

Yet another crack in the AI ​​boom

According to Nvidia, the five largest hyperscale companies (including Microsoft, Amazon, and Alphabet) are on track to spend approximately $800 billion on AI data center infrastructure in 2026 and could spend an additional $1.3 trillion in 2027. As a result, demand currently outstrips the supply of critical chips such as graphics processing units (GPUs) supplied by Nvidia and high-bandwidth memory (HBM) supplied by Micron.

Microsoft, Amazon and Alphabet are building this infrastructure to develop their own AI software, but they also rent computing capacity from other companies through their respective cloud platforms. This practice has become very lucrative, and Alphabet’s Microsoft Azure, Amazon Web Services, and Google Cloud have each delivered accelerate revenue growth in the quarter ended June 30.

In theory, hyperscalers will continue to build more infrastructure as long as they believe there is demand for computing capacity. But cracks are beginning to form; To cope with soaring chip and component costs, companies like OpenAI, Anthropic, and even Microsoft have significantly increased the prices for using their AI models and software in recent months.

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