The Doomsday Narrative

I was listening to a podcast the other day featuring the Chief Economist of Ramp. He confidently combated the narrative of the “SaaSpocalypse” — an opinion I yearned to hear.

If you’re unfamiliar with this Armageddon-y term, I’ll explain briefly. The SaaSpocalypse seems to have a pretty clear origin, going back to February 2026 when an equity trader at Jeffries described what he called “an apocalypse for software-as-a-service stocks.”

The idea behind the SaaSpocalypse is that software-as-a-service (SaaS) businesses will collapse now that we’re living in the era of AI. Agents will take over writing and creating applications for us, including common platforms that most businesses subscribe to like CRMs and project management tools.

Forget about sales people trying to sell SaaS — they will be laughed out of the Zoom call by a prospect who gleefully screenshares to show off their swarm of agents who just replicated your product.

This doomsday narrative has grown in fervor as we’ve all sat back and watched Anthropic outpace OpenAI as the leading lab. A journalist built a complete project management kanban board in under 10 minutes and posted a video. Monday.com’s market cap dropped $300 million before the session closed.

What the Data Actually Says

Ramp has a phenomenal newsletter called Leading Indicators where they share insights about the tech and finance space collected from their transactions data. They published an article showing that:

• Seat-based contracts for software have stuck at 65-75% of company spend.
• Platform SaaS subscriptions have stayed flat at 20-30% of company spend.
• Consumption-based SaaS spend stuck at 4-6%.

Those percentages have barely moved in 12 months. Ramp concluded that the death of SaaS, at best, has been predicted too early.

Why Print-on-Demand is Built Differently

The SaaSpocalypse narrative targets a particular kind of software: tools built on seat counts, designed to put a human in front of a workflow, or tools that provide business efficiency but aren’t crazy complicated to replicate.

This narrative, however, does not apply to most types of print-on-demand software, especially those focused on order management and workflow solutions. POD is still really, really hard and messy without the right kind of software — and solving hard problems is what makes software sticky.

Software in the POD space is usually built to be the connective tissue between commerce channels, production facilities, shop floors, and business systems.

The New Operational Reality

For the last two decades, the SaaS space was driven by an unshakeable assumption that at the core of every software implementation, there are humans. That assumption is what’s breaking in the era of the SaaSpocalypse. In POD software, there are different assumptions we’re wrestling with:

1. We assume that someone sells something or wants to buy something.
2. That physical thing has to be produced somewhere.
3. Said order has to route to that somewhere.
4. The artwork to be printed has to match that somewhere’s specifications.
5. Whatever exceptions exist that can prevent this from happening have to get resolved before someone notices and gets upset.

Agents need deterministic rails to route on. An AI agent that triggers a print order still needs a system that knows where to send it, can confirm the facility is capable, and can handle the exception when something goes wrong.

The print industry is, in several ways, the opposite of the exposed case. The businesses winning in this world are not reducing their software infrastructure investment — they are deepening it.