Bloomberg TV recently featured Paula Seligson to discuss the mounting risks in software stocks and a new report examining the sector's exposure. The "SaaSpocalypse" narrative—characterizing a sharp selloff driven by fears that generative AI could compress the margins and weaken the competitive moats that underpin software valuations—emerged as a prominent theme earlier this year. While some of the affected companies have rebounded sharply from their lows, the underlying problem persists.

AI-powered programming tools such as Codex and Claude Code are being wielded directly against the software industry from multiple directions. Either these tools succeed in disrupting the high-margin software business, or AI itself lacks a viable application. According to this view, there is no outcome in which both sides prevail.

The data underscores the scale of exposure. A significant portion of private equity deals over the past decade were concentrated in software, making the sector one of the most heavily indebted corners of the corporate landscape. While the debt from those transactions is not yet due, refinancing pressures are building. The critical moment—described as a "Wile E. Coyote" scenario—will arrive when software companies must refinance the debt used to finance their leveraged buyouts, potentially at higher borrowing costs and into a market questioning the durability of their cash flows.

Where the losses ultimately reside remains opaque, as much of the exposure sits in the private market. These are heavily leveraged deals that relied extensively on borrowing, and the identities of the lenders are not entirely clear. Insurers are significant participants in private credit and collateralized loan obligations—vehicles that have absorbed large volumes of leveraged buyout debt in recent years—which helps explain why the sector's refinancing risk has attracted the attention of investors searching for systemic vulnerabilities.

Lee Robinson, a hedge fund manager known for identifying risks ahead of the 2008 financial crisis, is currently betting against insurers for this very reason, as detailed in a Bloomberg report.

The broader concern is one of timing. Software revenues are expected to hold up in 2026, but by 2029, AI investments will need to deliver substantial returns. That raises the question of whether software companies will have enough time to deleverage—and who will be willing to lend to an industry vulnerable to sudden disruption.

Seligson argues that high leverage was placed on software companies under the assumption, and the necessity, that revenues would continue to grow. Even if revenues simply remain flat, these companies are at risk.

She highlights that approximately $150 billion in debt is scheduled to come due between now and 2029, according to a Bloomberg analysis. The most significant pain is not expected to materialize until 2028, meaning definitive answers about the sector's trajectory may still be years away.