Bond Yields Are the Real Threat to the AI Boom
For two years, artificial intelligence has been the engine of global markets. Chipmakers, data-centre operators and anything with an “AI” label have driven indices to record after record. But over the past week, the mood has shifted. The cause isn’t a problem with AI itself. It’s the bond market.
US Treasury yields have surged, with the 30-year recently pushing above 5.1%, its highest since 2007. AI chip stocks have come under heavy pressure over the past week, with US chipmaker Micron sliding sharply on concerns about both demand and stretched valuations. The question investors are now asking is a serious one: can a rally built on sky-high expectations survive a world of higher interest rates?
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Why Rising Bond Yields Are the AI Rally’s Biggest Enemy
To understand the threat, you need to understand how AI stocks are valued.
Most high-flying AI companies aren’t valued on the profits they make today. They are valued on the enormous profits investors expect them to make years, even a decade, into the future. That may sound abstract, but here’s why it matters. When bond yields rise, those distant future profits become worth less in today’s money, because investors can now earn a solid, safe return just by holding a government bond instead.
The further away a company’s profits sit, the harder this hurts. A mature, cash-generating business is barely affected. A speculative AI name promising a fortune in 2032 is hit hard. This is why the most expensive, most hyped corners of the AI trade are exactly the ones now under pressure. The maths that justified their valuations only worked while money was cheap.
The AI Bubble Debate: Echoes of the Dot-Com Era
It’s no surprise investors keep reaching for the dot-com comparison. The parallels are real: a transformative technology, enormous capital spending, and valuations that critics say have detached from reality.
Even prominent tech figures are openly drawing the comparison. This week, speaking on CNBC, Amazon founder Jeff Bezos likened the AI boom to the biotech bubble of the 1990s. But he argued investors shouldn’t worry, because, in his words, “the good ideas will pay for all of the losers”. It’s a useful way to think about it. In 1999, many market darlings had no profits at all. Today’s AI leaders, the largest chipmakers and cloud providers, generate very real earnings and cash flow. The danger isn’t the whole sector. It’s the speculative tail, where companies are spending vast sums today on a promise of returns that may never fully arrive.
In our view, this looks less like an entire bubble bursting and more like a long-overdue separation of the genuine winners from the hype.
What This Means for ASX Investors
For Australian investors, the lesson is to look through the “AI” label and ask a simpler question: does this company actually make money?
ASX-listed technology names with real, recurring earnings are far better placed to weather higher-for-longer rates than speculative stocks priced purely on a future story. Higher bond yields don’t end the AI theme. They change the rules. In a cheap-money world, investors rewarded promise. In a higher-rate world, they reward proof. For patient investors, that’s not a reason to panic, but a reason to be more selective.
