Why SaaS is reaching its limits in the AI era

The deal was good and it was honest. Instead of building software for your company, you rented software built for the average of ten thousand companies like yours. You gave up the twenty percent of your process that made you different, and in exchange you paid a fraction of what building it would have cost.

For most businesses, most of the time, that was clearly the right trade. Custom software was expensive because software was expensive, and the discipline of adapting your process to the tool was often an improvement anyway.

The cost of building the specific case fell, and it fell unevenly. Not all software got cheap — the parts that were always expensive, like operating a reliable system for years, remain expensive. What got dramatically cheaper is the layer that used to justify the compromise: the workflow, the interface, the integration, the connective code between systems you already run.

That inverts the calculation on exactly the twenty percent you gave up. The part of your operation that makes you different is now the affordable part to build, and it is also the only part where software can produce an advantage rather than parity.

The word for the right-hand column is integration rather than replacement. Nobody benefits from rebuilding a payroll engine. The value is in the seams: the place where four systems meet and a person is currently doing the meeting by hand.

Building is cheap; owning is not. Software you own has to be maintained, secured, and understood by someone after its author leaves. A subscription has a support number and someone else’s on-call rotation, and those are real goods.

So the honest version of this argument is narrow: build the specific thing, buy the general thing, and be deliberate about which is which. We sell both sides of that — two SaaS products and contract development — which is exactly why we would rather state the trade-off than pretend one side always wins.