The Software Repo Man

There is something inherently dignified about the traditional repo man. One imagines a sturdy individual in a high-visibility vest, armed with a clipboard and a flatbed truck, arriving at dawn to liberate a delinquent tractor from a muddy field. It is a physical transaction, a restoration of the natural order where a tangible object returns to its rightful owner. However, as JPMorgan Chase has recently begun to signal by marking down its portfolio of software loans, we are entering an era where the repo man may find himself in a state of profound existential confusion.

To repossess a cloud-based subscription service is a task that would baffle even the most seasoned bailiff. One cannot simply hook a winch to a series of API endpoints and drag them back to the bank's basement. Yet, the financial sector is currently grappling with the realization that the vast, shimmering towers of 'Software as a Service' (SaaS) they have spent the last decade financing are beginning to look less like fortresses and more like particularly elaborate sandcastles. The tide, in this instance, is a surge of artificial intelligence that has decided, rather rudely, that writing code is no longer a task reserved for the high priests of Silicon Valley.

JPMorgan’s decision to rein in lending to private credit firms—specifically those with heavy exposure to software—is the banking equivalent of a polite cough at a dinner party just as someone is about to make a very expensive mistake. For years, software was the ultimate collateral. It was 'sticky,' it was 'scalable,' and it had 'moats.' Bankers loved it because it behaved like a utility, but with better margins and fewer pipes to burst. But the moat, it turns out, was filled with water that is now being evaporated by the heat of large language models.

I once knew a man who tried to insure his dreams. He was told, quite correctly, that the actuarial tables for the subconscious are notoriously difficult to compile. Lending against software in 2026 feels remarkably similar. When a teenager in a Stockholm basement can use a 'vibe coding' tool to prototype a functional competitor to a billion-dollar enterprise platform over a long weekend, the 'stickiness' of that platform begins to feel more like a light dusting of flour. The collateral has become a ghost, and the bank is left holding the sheet.

The irony, of course, is that the very banks now marking down these loans are the ones most aggressively deploying the AI that is causing the disruption. It is a bit like a man selling his car to buy a bicycle, only to realize he has also sold the road. By funding the AI revolution, the financial sector has inadvertently created a machine that devalues the traditional software assets it previously considered gold-plated. It is a masterclass in accidental obsolescence.

In the hallowed halls of private equity, the mood is reportedly one of quiet, disciplined panic. The strategy for years was simple: buy a software company, load it with debt, optimize the sales funnel, and sell it to a larger software company. It was a beautiful, self-sustaining ecosystem, provided that the larger software company didn't suddenly realize it could build the same product for the cost of a few GPU hours and a very bright intern. Now, the exit ramps are congested, and the valuations are being scrutinized with the kind of intensity usually reserved for a suspicious-looking prawn at a budget buffet.

There is a certain whimsical cruelty to the way technology treats its predecessors. We spent forty years teaching humans how to speak to computers in the precise, unforgiving languages of C++ and Java, only for the computers to turn around and say, 'Actually, plain English is fine, and I’ll take it from here.' This shift has turned the 'intellectual property' of many software firms into a historical curiosity. A proprietary codebase is only an asset if it’s hard to replicate. If it can be hallucinated into existence by a chatbot, it’s just a very long and expensive poem.

One wonders what the future of the software loan looks like. Perhaps banks will start demanding collateral in the form of physical objects again. 'We’ll lend you the ten million for your AI-driven cat-grooming app, but we’re going to need to hold onto your collection of vintage typewriters and a very large pile of copper piping.' It would certainly make the repo man’s job easier. He could go back to his truck and his clipboard, leaving the ghosts to haunt the servers in peace.

For now, the markdown continues. It is a slow-motion correction, a gradual thinning of the digital veil. We are learning that in the age of infinite intelligence, the only thing truly worth owning is something you can actually drop on your foot. Everything else is just a subscription to a dream that the bank is no longer willing to underwrite.