Article 1: Vertical SaaS isn't dying. It's evolving.

The AI-kills-SaaS narrative has become almost ritualistic at this point. Every few months someone publishes a hot take: agents will automate everything, vibe-coders will build it themselves over a weekend, the incumbents are toast. It's become the kind of thing that gets a lot of engagement and doesn't survive much scrutiny.

Here's what the doomsday crowd consistently gets wrong. The value of a vertical software business was never purely in the software. It was always in the depth of integration into how a specific industry actually works: the workflows, the compliance requirements, the terminology, the trust built up over years of showing up. That's not something you can replicate in a weekend, and AI hasn't changed that.

What AI is actually doing

It's compressing the time it takes to build a passable product. Things that took eighteen months three years ago might take six months today. That's real, and it matters at the margins. But there's a conflation happening in a lot of current analysis that's worth calling out: faster to build is not the same as easier to displace. A new entrant who can spin up a credible-looking product in months still has to find the customers, earn their trust, survive the procurement process, execute the implementation, and retain them through renewal. The product is the easy part. Everything else is the same as it ever was, arguably harder.

What's actually shifting

The criteria for evaluating a vertical SaaS business are changing. ARR growth, net revenue retention, logo count: still relevant, no longer sufficient. The questions that matter more now are the ones that reveal whether a business is genuinely embedded in its market. How long have the customers been around? Has the product become part of how the business operates day to day, or is it still a nice-to-have? How deep are the founder's relationships in the industry? What's the regulatory surface area? These are the questions that separate the businesses that will hold up from the ones that won't.

The nature of the moat is shifting too. Switching costs used to be predominantly technical: painful data migrations, retraining costs, broken integrations. Those costs haven't disappeared, but they're less differentiating than they were. The new moats are relational and reputational. The vendor who's been in your industry for fifteen years, whose team your customers have grown up with, who picks up the phone when something goes wrong: that vendor doesn't get displaced by a faster product on a newer stack. Not easily, anyway.

The opportunity in the noise

The businesses that will look most exposed over the next few years are the ones whose primary differentiator was always product quality, and who assumed that was enough. The businesses that will look most durable are the ones with genuine market depth: long customer relationships, trusted brand reputations, embedded workflows, and teams that know the industry as well as any customer does.

If anything, AI is accelerating the separation between those two groups. That's not a threat to vertical SaaS as a category. It's a forcing function that makes the good businesses easier to identify.

More on what 'good' looks like in the next issue.

Author: Yousif Hanna