The artificial intelligence boom is facing a new potential headwind: rising bond yields. While AI companies continue to report impressive growth and enormous investment plans, higher borrowing costs could increasingly challenge the valuations that have propelled technology stocks to record levels.
US Treasury yields have been climbing, with the 10-year yield recently reaching around 4.7%, while the 30-year yield has risen above 5.3% — its highest level since 2007.
Attractive returns
That matters because higher yields change the calculation for investors. When government bonds offer more attractive returns, investors may become less willing to pay extreme prices for companies whose profits are expected far into the future.
Growth stocks, particularly those dependent on substantial future cash flows, are especially sensitive to this shift.
The AI industry also has an unusual vulnerability: the sheer scale of its capital requirements. Big technology companies are increasingly turning to debt markets to finance data centres, chips and other infrastructure.
That borrowing itself can contribute to higher yields, creating something of a feedback loop.
AI presssure
There are already signs of pressure. AI-related stocks fell sharply in August 2026 as rising borrowing costs and valuation concerns weighed on the technology sector.
But higher yields do not automatically mean an AI crash. Unlike the dot-com bubble, today’s leading AI companies generally have substantial revenues, profits and cash flows.
The European Central Bank has nevertheless warned that technology valuations have reached levels reminiscent of the dot-com era.
Expectations
The real danger may therefore be less about AI itself and more about expectations. If yields remain elevated while the enormous spending on AI infrastructure fails to generate equally enormous profits, investors could begin questioning today’s valuations.
Rising yields may not burst the AI bubble overnight — but they could provide the pin.