While AI tools threaten the value of vertical SaaS companies heavily funded by private credit, this isn't a systemic risk. The same AI tools enable broader productivity gains across the economy, creating more value than is lost in these specific private credit deals. The market is also less interconnected than the 2008 mortgage market.

While private credit faces headwinds that may lead to sluggish growth and poor returns, it is unlikely to trigger a systemic crisis. This is because linkages to the traditional banking system involve significantly less leverage in this cycle compared to the period before the 2008 Global Financial Crisis, limiting contagion risk.

Despite fears of AI disruption, private credit software loans have significant downside protection. With loan-to-value ratios around 30-40%, there is a substantial equity cushion. A company's value must erode by nearly 70% before the lender's principal is at risk, highlighting the structural safety of debt versus equity.

While public software stocks have dropped 20-30% on fears of AI disruption, credit markets, particularly private credit, remain confident. Lenders are protected by low leverage multiples (1-6x EBITDA) and a substantial equity cushion, making them less sensitive to equity valuation shifts.

The greatest systemic threat from the booming private credit market isn't excessive leverage but its heavy concentration in technology companies. A significant drop in tech enterprise value multiples could trigger a widespread event, as tech constitutes roughly half of private credit portfolios.

While AI may devalue software companies backed by private credit, this won't trigger a 2008-style crisis. The argument is that these losses will be contained within the software sector. Furthermore, AI's broad productivity gains will likely create an economic expansion that outweighs the damage to these specific portfolios.

While the private credit sector faces stress, its potential to trigger a systemic banking crisis is low. Banks' aggregate loan exposure to these institutions is a small percentage of total assets, and they are not on the front line for losses, which are first absorbed by fund investors.

Despite market fears about AI disrupting software companies, underlying private credit loans are structured defensively. They are often written at a 30% loan-to-value, meaning there is a 70% equity cushion before the lender's principal is at risk.

Unlike the great financial crisis, recent credit cycles have been confined to specific sectors (e.g., energy, and now potentially software) rather than broad, macro-driven downturns. Without the ingredients for a deep recession, current stress in software is unlikely to cause contagion across the wider credit markets.