Software Is Getting Cheaper To Build, and More Expensive To Defend.

Every few months a new tool promises that anyone can build software now, even easier than before... and every time it happens, someone declares that software is becoming "free". AI code creation changes the surface of how software gets built. This says nothing about its durability. though.

Start with what actually shifted: A creator (founder, product manager, UX designer) with no engineering background can now describe a workflow in plain English and have a working prototype to demo by the end of the day. That is a fundamental paradigm shift, and it is worth taking seriously. The cost of a first version has collapsed. The cost of everything that makes a product worth paying for once the demo-novelty wears off is climbing, partly because of the flooding of the market with new point-solution SaaS offerings, and partly just economics of the modern day.

Lets call that second part a moat, and be precise about what it is made of:

It is data advantage: the years of usage history, edge cases, and corrections that a system has absorbed and a fresh build has not.
It is distribution: the channel, the existing customer base, the sales motion that gets a product in front of the right buyer without a cold start.
It is switching cost: how much pain a customer takes on by ripping out what already works.
It is workflow lock-in: whether the tool sits inside the daily habit of the person using it, or sits beside it as one more tab.
It is trust: whether a buyer believes the vendor will still be answering support tickets in three years.

I've watched this play out directly during a consolidation project. Several teams had built up their own tools over years, each one good enough at the narrow job it did (with significant overlap). On paper, a newer, faster, cheaper option could have replicated most of the visible functionality within weeks. What it could not replicate was the years of client history sitting inside the incumbent systems, the clients' muscle-memory for where every function lived, and the fact that ripping out a core business system mid deal-cycle was a business risk no leader wanted to own. The incumbent's moat was not the feature set. It was the switching cost and the data sitting on the other side of it.

That is the connection worth drawing for two audiences who are currently talking past each other:

If you are building fast with AI right now, the speed is real and you should use it. But speed builds the first version, not the tenth - and immediate speed distracts from the long term ownership conversations. Before you celebrate a quick launch, ask what happens when someone else builds the same feature in the same week. If the honest answer is nothing, there's nothing defensible there.
If you are selling SaaS and watching AI-built competitors show up in your deals, the temptation is to panic about feature-parity. Don't. Rather, ask whether your data advantage, your compliance processes, your industry IP, your distribution, and your switching cost are as strong as they were five years ago, because those are the things AI has not made cheap, and they are the things a buyer is actually paying for.

The moat has not gone away. It's just moved to sit less in the code now, and more in the data, the relationships, and the habits built around the product. Anyone who tells you software is becoming free is describing the first version. The tenth version still has to earn its keep the same way it always did.

#ProductStrategy #SaaS #AIStrategy #Moats #vibecoding