BLOGThe Bird's Eye View
Timely Perspectives, Unconventional Thinking
We’re excited to share timely market insights, thoughtful perspectives and expert commentary as part of our commitment to providing modern investment solutions to modern challenges.
BLOGThe Bird's Eye View
Timely Perspectives, Unconventional Thinking
We’re excited to share timely market insights, thoughtful perspectives and expert commentary as part of our commitment to providing modern investment solutions to modern challenges.
Next-generation artificial intelligence (AI) tools from the likes of OpenAI and Anthropic have sounded alarms about potential disruption to the tech landscape and weighed heavily on stocks in the enterprise software space. The S&P Software & Services Select Industry Index, for example, is down more than 23% from its September 2025 peak.1
More recently, AI concerns have spread to the credit market. Broadly syndicated loan prices declined $0.90 in January, driven by a $3.60 fall in software, which at 16% is the largest component of the market.2 While private credit lacks a secondary market to capture short-term changes in sentiment, the sharp declines in the share prices of publicly traded private credit vehicles suggest the strain is also being felt in middle market direct lending; a number of high-profile business development companies and listed alternative credit managers are trading 25% or more off recent peaks.3
While the advancement of AI tools is likely to have an impact across software—and many other sectors—we believe there is more nuance to the AI story than the headlines would suggest. The degree of dislocation will likely vary among borrowers. In our view, enterprise software platforms with differentiated offerings, large installed bases and deep integration in customer ecosystems are likely to be most resilient in the face of AI—or potentially even add value to their client relationships by leveraging emerging functionality. In the meantime, credit quality statistics for the industry overall remain strong, and long-term contractual obligations may blunt immediate margin pressure.4
We believe there is more nuance to the AI story than the headlines would suggest.
We’ve written previously about the importance of prudence in today’s market environment of tight spreads, all-in yield compression and heightened idiosyncratic risk, and we believe the swift repricing of software credits year to date underscores our view that caution is the new conviction.
As fundamental municipal credit managers, we believe that research-driven underwriting can help us identify investment opportunities in out-of-favor areas with wide dispersions in credit spreads, both across sectors and among individual names. One area we believe is particularly rich with opportunity is the healthcare sector, which underperformed in 2025.1 Investors grew concerned about the policy ramifications of Trump’s tax-and-spending bill, including lower reimbursement rates, lower utilization rates and pressure on federal and state aid, as well as the impacts of immigration and tariffs on labor and operating costs.
Cuts to Medicaid and Medicare—which comprise approximately 44% of US hospital spending2—outlined in the bill will total more than $1 trillion through 20343 and are estimated to eliminate healthcare coverage for up to 15 million people.4 Though set to begin in 2026, many of these cuts will ramp up over time, which we believe will give hospitals, healthcare providers and insurance carriers time to adjust their operating models. The delayed nature of the cuts will also give Medicaid and proponents of the Affordable Care Act opportunities to push back or eliminate the implementation of the cuts. Lastly, we believe an aging population in need of chronic disease management and long-term care will further support healthcare utilization.
Many of these cuts will ramp up over time, which we believe will give healthcare organizations time to adjust their operating models.
Within this sector, we believe that larger, well-managed hospital systems, specialty-care hospitals and hospitals that provide essential care in geographies with population growth and a favorable payer mix are more likely to be resilient in the face of policy changes. These policy changes may also drive consolidation of the hospital space as smaller hospital systems and providers in rural areas seek financial stability and access to capital. By identifying what we view as essential-care providers in larger, well-funded geographies or smaller hospitals that may be well positioned to be acquired by larger providers with a more favorable payer mix, we believe we can identify credits with attractive yields and prices and lower default risk.

