
Remember when starting a SaaS company was a massive technical mountain? You’d spend two years, raise a few million bucks, and hire a team of genius engineers just to ship a product that—let’s be honest—barely worked (hooray for MVPs!).
But if you pulled it off, you were safe. You had a “moat” made of pure technical sweat. It took your competitors forever to catch up because they had to climb that same mountain and figure out how to solve the problems you already had. You had time to breathe, time to mess up, and time to win.
That world is officially over. Today, a couple of creative 20-somethings can build a version of your “revolutionary” product in their dorm room over a long weekend. And they’re probably doing it right now.
You’ve probably heard people say AI is “killing” SaaS. It’s a great headline, but it’s not really true. AI isn’t killing software; it’s just making it cheap and fast to build.
In the old days, we relied on Technical Complexity to protect us. If a product was hard to make, it was defensible. Now? The size of your codebase can no longer keep you safe from your competitors. The technical “moat” doesn’t exist. It’s no longer about the code you wrote; it’s about what happens once that code actually hits the real world.
Look at the legends like Salesforce or HubSpot. They built empires because, back then, making software talk to other software was a nightmare. Their “moat” was that they figured out the plumbing first, then built more of it faster than anyone else.
Contrast that with today. We’re seeing companies build their own custom internal tools in a few weeks because they’re tired of paying for a massive platform (ex. Klarna and Zendesk). They aren’t doing it because the big tools are bad, they’re doing it because building custom software is now about as hard as putting together a bookshelf from IKEA. (Okay, maybe slightly harder, but you get the point.)
When the mountain you climbed turns into a small hill, you can’t be surprised when the summit gets crowded.
Here’s the reality: the goal is no longer to build something “un-copyable”. In the age of AI, everything is reproducible. Success now depends on how you transition from a broad footprint to a deep partnership.
People are creatures of habit. If your tool is already plugged into their daily routine, they won’t switch just because a competitor is 2% faster. You don’t win by being a technical wizard; you win by being the one who owns the workflow first.
For founders, this is a bit of a reality check. Your product isn’t your “secret sauce” anymore, it’s just your ticket to the party. While stickiness has always been the holy grail of SaaS, the path to achieving it has shifted from technical lock-in to speed-of-relevance.
Investors are shifting their gaze. They aren’t asking if your code is “proprietary” as much as they’re asking if you have a repeatable way to find and keep customers. In a world where the “moat” of code has evaporated, your only real defense is how quickly you can move from a user’s browser tab to their “must-have” daily utility.
AI didn’t make SaaS less valuable; it stripped away the technical egothat used to protect mediocre businesses. You can’t hide behind “complex code” or assume you have a two-year head start just because your backend is sophisticated.
In a world where everyone can build, the value shifts from the lines of code to the strength of the connection. The “hard part” isn’t the software itself, it’s the strategy, the distribution, and the relentless focus on the human on the other side of the screen.
In a world where everyone can build, the only thing that matters is who actually builds a relationship with the customer. The “hard part” isn’t the code, it’s everything else.
