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TogglePrivate credit has exploded in recent years, becoming a massive $3 trillion market. Instead of traditional banks, these private lenders offer loans directly to companies. This has been great for businesses that need funding but might not qualify for a bank loan or want a faster, more flexible option. Software companies have been major beneficiaries of this trend. Their recurring revenue models and scalable nature made them attractive borrowers. Private credit firms loved lending to them, fueling growth and acquisitions in the software space.
But now, a new challenge is emerging: artificial intelligence. AI is changing the game for many industries, and software is no exception. Some AI-powered tools are starting to put pressure on traditional software companies. These AI solutions can automate tasks, offer more efficient alternatives, or even replace entire software applications. This disruption is creating uncertainty for software companies, and that’s making private credit lenders nervous.
Private credit firms are starting to re-evaluate their software portfolios. The fear is that AI could erode the revenue streams of these companies, making it harder for them to repay their loans. The debt these software companies took on was based on projections of future growth and profitability. If AI disrupts those projections, the lenders could face losses. This concern is amplified because private credit often involves higher interest rates and less stringent covenants than traditional bank loans, making them riskier in the first place.
The software industry is incredibly diverse. Some segments are thriving with AI, while others face potential disruption. Areas like cybersecurity and data analytics are likely to benefit from AI. But other areas, particularly those involving more routine or easily automated tasks, could see increased competition from AI-powered alternatives. This means private credit lenders need to carefully analyze each software company in their portfolio to understand its specific exposure to AI risk. This requires a deeper understanding of the technology landscape than many lenders may possess. And understanding the tech landscape is hard, as it changes daily.
This situation highlights a potential blind spot in the private credit market. While these lenders have been eager to deploy capital, they may have underestimated the potential for rapid technological disruption. It is possible lenders did not perform adequate due diligence on the potential for AI to disrupt the market. It also puts more pressure on software companies to adapt and innovate. They need to find ways to integrate AI into their offerings, differentiate themselves from competitors, and demonstrate their long-term value to customers. Some companies might need to consider mergers or acquisitions to gain access to new technologies or markets. And, some companies will fail.
The concerns around AI and software could have broader implications for the private credit market. If software companies start to struggle, it could trigger a wave of defaults or restructurings. This could shake investor confidence in private credit and make it harder for other companies to access funding. The market needs to be careful and assess the risks.
Expect private credit firms to become much more selective about lending to software companies. They will likely demand more stringent due diligence, focusing on a company’s AI strategy, competitive landscape, and long-term growth prospects. Lenders may also require higher interest rates or stricter covenants to compensate for the increased risk. Lenders will want to see plans for how software companies plan to adapt to the ever-changing landscape of technology.
Ultimately, this situation underscores the need for proactive risk management in the private credit market. Lenders need to be aware of the potential for technological disruption and factor it into their investment decisions. This requires not only a deep understanding of the industries they lend to but also a willingness to adapt their strategies as the world changes. The private credit sector may need to bring in tech experts to evaluate the true risks posed by changes in technology.
The future of private credit and software is uncertain. AI presents both opportunities and challenges. Those who adapt and innovate will thrive, while those who don’t may struggle. This evolving dynamic will reshape the landscape and test the resilience of both borrowers and lenders. But without doubt, the world of private credit will be forced to adapt to the changing times.


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