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A 22% year-over-year rise in business bankruptcies seems alarming, but it's partially a natural consequence of the post-pandemic surge in new business formations. A higher number of startups leads to more failures, reflecting entrepreneurial churn rather than just economic weakness.
The impact of AI-driven job displacement is magnified by the current economic downturn. In a boom, laid-off workers might start successful companies. In a recession, these new ventures are more likely to fail, eliminating the typical entrepreneurial safety net and accelerating economic strain.
The best time to launch a company is at the bottom of a recession. Key inputs like talent and real estate are cheap, which enforces extreme financial discipline. If a business can survive this environment, it emerges as a lean, resilient "fighting machine" perfectly positioned to capture upside when the market recovers.
Permira's Ian Jackson suggests recent fraud-related bankruptcies aren't isolated incidents but historical indicators that easy money is disappearing, exposing underlying problems in over-leveraged companies.
While AI causes job losses, it also lowers the barrier to starting a company. This has created a "pink slip to startup pipeline," with laid-off professionals using low-cost AI tools to launch new ventures, resulting in a record number of new business applications.
Despite the highest benchmark interest rates in years, the U.S. economy avoided a major wave of corporate bankruptcies. This resilience can be attributed to the explosive growth of private credit, which provided an alternative financing channel for companies when traditional bank lending became more restrictive.
In a strong economy, AI would spur a wave of successful new companies, creating new jobs. However, because this technological shift is happening during an economic downturn, most new AI-enabled startups will likely fail, leading to net job destruction rather than creation.
The dot-com era saw ~2,000 companies go public, but only a dozen survived meaningfully. The current AI wave will likely follow a similar pattern, with most companies failing or being acquired despite the hype. Founders should prepare for this reality by considering their exit strategy early.
The potential bailout of Spirit Airlines highlights a debate over a key U.S. economic advantage: the ability to let businesses fail. Propping up 'zombie companies' misallocates scarce resources and harms healthier competitors, undermining the dynamic reallocation of capital that drives long-term productivity and growth.
Despite the popular narrative of a startup boom fueled by Silicon Valley stories, the actual number of Americans starting businesses or working for themselves is half of what it was in 1979. This fable, focusing on a tiny fraction of venture-backed 'unicorns,' distorts the reality for the vast majority of entrepreneurs.
The current rise in private credit stress isn't a sign of a broken market, but a predictable outcome. The massive volume of loans issued 3-5 years ago is now reaching the average time-to-default period, leading to an increase in troubled assets as a simple function of time and volume.