The AI investing frenzy is taking a new turn. After months of focus on the software giants pouring billions into artificial intelligence, the market's attention is shifting to the companies actually selling the hardware that powers it all: chipmakers and computing-equipment makers. At the same time, a warning signal is flashing for the software-as-a-service (SaaS) firms that could be left behind.
According to a Reuters column, the biggest AI-linked gains in the stock market have recently clustered in chip and computing-equipment companies. This marks a notable shift from earlier in the year, when investors were fixated on the tech titans spending heavily on AI infrastructure. The change reflects a growing recognition that while AI spending is surging, the immediate beneficiaries are the suppliers of the 'picks and shovels' — the chips, servers, and networking gear — rather than the software firms racing to integrate the technology.
The Credit Market Warning for SaaS
While equity investors chase chip stocks, the credit markets are telling a different story about software companies. Carlyle, a major alternative-asset manager, reports that leveraged loans to software borrowers now carry spreads of nearly 800 basis points — almost double the broader market average. A basis point is one-hundredth of a percentage point, so 800 basis points means lenders are demanding an 8% premium over benchmark rates.
This caution matters because a 'maturity wall' is forming. Roughly $50 billion of syndicated software loans are scheduled to come due in each of 2028 and 2029. About 85% of these loans are rated B-minus or lower — deep into junk territory — and they currently trade at around 79 cents on the dollar. When debt trades below face value, it signals that investors expect stress or even default.
For companies facing this wall, refinancing will likely mean paying significantly higher interest rates or resorting to pay-in-kind (PIK) interest, which allows interest to accrue rather than being paid in cash. While PIK can provide short-term relief, it increases the total debt burden over time.
What This Means for Investors
The divergence between equity and credit markets is a classic warning sign. On one side, stock investors are betting on AI-driven growth for chipmakers like those in the Magnificent Seven and beyond. On the other, credit investors are pricing in real risk for SaaS companies that may struggle to adapt or compete in an AI-dominated landscape.
For everyday investors, the implications are twofold. First, the rising cost of debt for software firms means more of their future cash flow will go toward servicing loans, leaving less for hiring, research and development, and customer acquisition. That pressure can lead to lower equity valuations as expected free cash flow shrinks. Second, the stress could ripple through leveraged-loan funds and collateralized loan obligations (CLOs) that hold these loans. Below-par prices are often the first visible sign of downgrades and restructurings.
The broader backdrop adds to the caution. The Bank for International Settlements recently warned that the $1 trillion hyperscaler AI spending spree risks an investment bust if the expected returns don't materialize. Meanwhile, Asia's big investors are stress-testing AI costs and private credit risks, underscoring the global nature of these concerns.
The Bottom Line
The AI mania is not over, but it is evolving. The easy money in software stocks that simply announced AI plans may be giving way to a more discerning market that rewards actual hardware sales. For SaaS companies, the clock is ticking. With a maturity wall approaching and credit markets already pricing in stress, the next few years will test whether these firms can generate enough cash to service their debt while staying competitive in an AI-driven world.
For investors, the key takeaway is to watch not just which companies are spending on AI, but which ones are actually profiting from it — and which ones might be left holding the bag.
