Every founder of a software business is asking a version of the same question right now. If AI can write code, and write it faster every month, what happens to the company I built? It is a fair question, and it deserves a straight answer rather than reassurance.
The honest answer is that AI is a real threat to some software businesses and almost none to others. The line between the two is not about how advanced your technology is. It is about where your software sits, what it is connected to, and what it would actually take to replace it. This article is about where that line falls, and how to tell which side of it your business is on.
What AI Actually Changed
Start with what is genuinely different. The cost of building basic software has fallen sharply. In a controlled study, researchers at GitHub found that developers using an AI coding assistant completed a task 55 percent faster than those without one. Later studies in real workplaces showed smaller gains, but still meaningful ones. The direction is not in doubt. Work that used to take a team weeks can now take days, and simple applications that once required real engineering can be assembled quickly.
That has a specific consequence. If the main thing your product offered was a set of features, and a capable team with current AI tools could rebuild those features in a few weeks, then feature parity is no longer a defense. Analysts who follow the software market have made this point repeatedly over the past two years. The ability to do something a rival cannot has a short shelf life when the cost of copying it keeps dropping.
There is a second change worth naming. Customers now expect AI to be part of the products they use, which raises the bar for everyone. But building an impressive demo and building a durable business are different tasks. The demo is easier than it has ever been. The business is not.
So the risk is real. But notice what the risk actually attaches to. It attaches to software whose value was the features themselves. A lot of mission-critical software is worth far more than its feature list, and that is where the picture changes.
Which Businesses Are at Risk
A software business is exposed when its product could be recreated quickly and switched away from without much pain. A few patterns tend to show up together.
The first is the thin, single-purpose tool. If a product does one narrow thing, runs on top of a general model, and holds no proprietary data or deep integration, it is closer to a feature than a company. Over time, the providers of the underlying models and a stream of fast followers tend to absorb that kind of function. What felt like a product becomes a checkbox inside someone else's.
The second is software that sits alongside the work rather than inside it. If your product is a place people go to look something up or record what they already did, and the real work happens somewhere else, the switching cost is lower than it looks. When a cheaper or newer option appears, not much is holding the customer in place. The apparent stickiness turns out to have been habit, not dependence.
The third is software whose advantage was mainly a better interface. A cleaner screen is worth something, but it is one of the easiest things to reproduce. When the underlying task is simple and the data is not proprietary, design alone will not hold a market for long.
There is a useful distinction underneath all three. A product solves a problem. A company is hard to replace. In the years when software was expensive to build, a good product and a real company often looked the same, because the cost of building was itself a kind of protection. That protection is fading. What is left is whatever makes a business hard to walk away from, and a narrow tool with none of that is now the most exposed thing in software.
None of this means these businesses vanish overnight. It means their pricing power erodes, renewals get harder to win, and the effort required to defend the business keeps climbing. For a founder, that is worth understanding early rather than discovering late.
Which Businesses Are Not
Now the other side. The software that AI struggles to displace shares a different set of traits, and they are the traits that tend to define mission-critical, critical-workflow software.
The clearest is deep integration into how work actually gets done. When a system holds the record of truth for a business, connects to the tools around it, and carries the logic a specific industry runs on, leaving it is expensive and risky. The switching cost is not the price of a subscription. It is the operational disruption of pulling out something the whole operation depends on, then retraining people and rebuilding connections around the replacement. Investors who study this describe the difference simply. Software that sits inside the work is far harder to remove than software that sits beside it.
The second is proprietary data that compounds. A product that improves the more it is used, on data no competitor can reach, builds an advantage that widens over time. A new entrant with the same model still starts from zero on the thing that matters most, which is the accumulated context of real work in a specific field. The model is available to everyone. The data, and the judgment built on top of it, are not. This is why two businesses running on the identical underlying technology can have completely different prospects. One has years of specific, hard-won information feeding its product. The other has a subscription to the same model anyone can buy.
The third is regulation, certification, and trust. In fields governed by rules, licensing, or professional liability, much of what looks like friction is structural, and it does not get easier as models improve. Venture investors at Menlo Ventures draw a helpful distinction here. Defensive strengths, such as regulatory certification, compliance infrastructure, and required human sign-off, set a floor on how quickly anything can displace you. Generative strengths, such as compounding data and expanding coverage of a workflow, widen the gap over time. The most durable businesses have both. The defensive side buys time while the generative side does its work. Fields like healthcare, financial services, and other regulated industries are full of software that carries this kind of protection, because the standards it meets took years to satisfy and cannot be shortcut with a better model.
Put plainly, the software most protected from AI is the software that is hardest to rip out, hardest to recreate from public inputs, and most bound up in rules and relationships that took years to earn. That is a fair description of a lot of mission-critical software.
A Simple Test for Founders
Here is a way to check where your own business sits. Menlo Ventures calls it the clone test, and it is a useful discipline. Imagine a capable team copied your product and your code today, and handed the clone access to the best available AI models. What stops the clone from beating you?
If the honest answer is "not much," then the value was in the features, and the work ahead is to build something harder to copy. If the answer is a list the clone cannot get on day one, your proprietary data, your integrations, your compliance standing, the trust of customers who depend on you, then you are on the resilient side of the line. Most founders know the answer before they finish the exercise.
A few questions make it concrete. How painful would it be for your best customer to leave, measured in operational disruption rather than price? What in your product genuinely improves with use, in a way a newcomer could not shortcut? What rules, certifications, or relationships would a competitor need to satisfy before they could even start to compete? The stronger those answers, the less AI threatens the core of the business, and the more it becomes a tool you can use rather than a force acting on you.
Turning the Threat Into an Advantage
It is worth saying that AI is not only a risk for the resilient businesses. For software already embedded in a critical workflow, with proprietary data and earned trust, AI is often the fastest way to widen the lead. The same data that makes a business hard to copy is the data that makes its AI features genuinely useful, and hard for a general tool to match. Founders on the resilient side of the line are usually better placed to adopt AI well than the newcomers trying to unseat them, because they own the context that makes AI valuable in their field.
The businesses at risk and the businesses that thrive are often working with the same technology. The difference is what sits underneath it.
What This Means for the Long Term
There is a further point that matters for any founder thinking about the years ahead. Resilience against AI is not a fixed asset. It is built and maintained. Proprietary data compounds only if the business keeps investing in the workflows that generate it. Integrations and compliance standing need continual work. Trust is earned again every year.
This is where the ownership behind a business starts to matter. Defending and deepening what makes a company hard to replace is long-term work, and it does not always show up in the next quarter's numbers. An owner working toward a near-term transition has every reason to flatter the visible figures and defer the quieter investments that keep a business durable. A long-term operator has the opposite incentive. When there is no clock running toward a future transition, it is easier to reinvest in the data, the integrations, and the customer relationships that keep the business hard to displace.
That is the lens Solen brings. We are a permanent home for founder-built, mission-critical software companies, and we invest for the long term without predefined exit timelines. We look for businesses that are hard to replace, and then we help protect and extend the very things that make them that way. Our aim is to amplify what has made a company great, not to optimize it for a quick result.
The Short Version
AI is lowering the cost of building software, and that genuinely threatens products whose value was feature parity, a polished interface, or a single narrow task. It threatens far less the software that is embedded in real workflows, improves on proprietary data, and carries the regulatory standing and customer trust that take years to build. Mission-critical software usually sits on the resilient side, and for those businesses AI is often more opportunity than risk. Resilience still has to be maintained, which is long-term work best done by owners who think in decades.
If you are a founder trying to work out which side of the line your business is on, or thinking about who should help you protect it for the long term, we are glad to talk it through. Reach out to the Solen team.