PIMCO, a major player in fixed-income investment management, has recently issued a cautionary outlook on the implications of artificial intelligence (AI) for private credit portfolios, specifically those heavily invested in software. This analysis suggests that AI is not merely transforming tech sectors; it poses a significant threat to the credit quality of loans within a large portion of private credit investments.

PIMCO's March 2026 report highlights the rising concentration of software in Business Development Company (BDC) portfolios, pointing out that this trend has more than doubled over the past decade. Many private equity sponsors, attracted by the recurring revenue models of Software as a Service (SaaS) companies, have increasingly leaned into such investments. However, PIMCO argues that this heavy exposure is a 'ticking time bomb' that could lead to underperformance when compared to public markets and other asset classes.

Understanding the Risks: Pricing Power and Obsolescence

The firm identifies three critical risks that AI introduces to the landscape of software investments in private credit:

  • Pricing Power Erosion: As AI lowers barriers to entry, incumbent software companies may find it increasingly difficult to maintain their pricing structures. This can significantly impact revenue streams.
  • Obsolescence of Non-Critical Tools: The ability of AI to perform tasks traditionally handled by paid software could lead to widespread cancellations of subscriptions, which, in turn, affects the credit quality of loans backing these companies.
  • Downstream Credit Effects: The specter of potential downgrades or even defaults looms larger as AI-driven disruptions cascade through the software sector.

A Resilient Few: The Paradox of Innovation

Despite these concerns, some industry figures, like Ares Capital, emphasize that the impact of AI will not be uniformly disastrous for all software firms. Companies that have deeply integrated their services into customer operations, characterized by high switching costs, might emerge relatively unscathed. This selective resilience underscores that while AI introduces risk, it also fosters an environment where innovation can lead to varied outcomes across the sector.

Portfolio-Level Considerations and Future Strategies

PIMCO's analysis also reveals a portfolio-level risk arising from the extensive overlap in software loans held by various private credit managers. When numerous entities concentrate their investments in similar software firms, any AI disruptions affecting those companies could lead to substantial losses that permeate through the entire BDC landscape. Consequently, PIMCO recommends that investors adopt a more selective approach to investments and consider diversifying beyond software. Areas like asset-based finance and specialty lending may present viable alternatives that do not carry the same level of risk from AI disruption.

In summary, the evolving role of AI in the software sector poses profound challenges and opportunities for private credit investors. The critical task ahead lies in navigating these dynamics to mitigate risk while harnessing the potential of innovative companies in varying degrees of vulnerability.