A lot of people are reacting to the “SaaS-pocalypse” narrative as if it is exaggerated, sensational, or just another cycle of tech panic.
I do not think that is entirely right.
The real issue is not that software is suddenly going away. It is that one of software’s oldest assumptions is starting to break: the idea that users need to spend their time inside the application to get work done.
That assumption powered much of the SaaS era.
For years, the winners in software were the companies that owned the interface, the workflow, and the seat. If your product became the place where work started and finished, you had leverage. You could expand features, bundle more capabilities, increase switching costs, and justify recurring pricing because the user’s daily behavior ran through your system.
AI is beginning to change that.
What is shifting now is not simply the addition of AI features into existing products. It is the emergence of agents that can operate across systems, pull context from multiple tools, take actions on behalf of users, and complete workflows without requiring the user to sit inside one application the whole time.
That is a very different kind of change than most software companies are used to thinking about.
Work no longer has to begin in your product. It can begin in an agent layer, move across CRM, ERP, collaboration tools, internal knowledge systems, and workflow platforms, and finish without the user ever really engaging with your interface directly.
That is why this moment is less about software replacement and more about software compression.
The systems may still exist. The data may still sit where it sits. The records, logic, and operational dependencies do not disappear overnight. But the visible surface area of many SaaS products starts to shrink when the user interaction layer gets abstracted away.
And when that happens, several things follow quickly.
Features become easier to replicate. Bundles become easier to question. Pricing power becomes harder to defend. What once looked like a differentiated user experience can start to look like a collection of functions that an agent can call on demand.
That is the deeper fear underneath the current repricing of software.
Investors are not just reacting to whether a company has announced AI. They are trying to understand where durable value will sit if the application is no longer the primary place where work happens.
In that kind of environment, value does not disappear. It concentrates.
It tends to concentrate in a few control points.
The first is proprietary or high-context data. If your product has unique operational data, customer-specific context, historical decision patterns, or domain intelligence that is difficult to reproduce, you still have strategic value. In an agent-driven world, context becomes more important, not less.
The second is identity and permissions. As agents begin to take actions across systems, trust, access control, policy enforcement, and workflow-level authorization become central. The layer that governs who can do what, where, and under what conditions becomes far more important than many people realize.
The third is deeply embedded workflow. If your software is not just a nice interface but is woven into how a business actually operates, with exceptions, approvals, handoffs, and compliance logic built in, it is much harder to abstract away. The deeper you are in the real operational spine of the enterprise, the safer your position.
The fourth is cross-system orchestration. In a world of agents, the ability to coordinate actions across fragmented enterprise environments becomes a source of power. The winners may not always be the products with the prettiest interface. They may be the ones that sit in the middle of the action and make complex processes actually run.
If a product does not own one of these layers, it risks becoming downstream infrastructure. Still necessary, but increasingly interchangeable. Still present, but with less control over user behavior, less influence over value capture, and less ability to protect pricing.
That is why the question facing software companies is no longer just, “Do we have AI in the product?”
That is the shallow question.
The real question is much harder: when agents start doing more of the work, why does your product still need to exist?
That forces a much more uncomfortable conversation.
It means companies need to rethink their source of defensibility. Not in presentation decks, but in architecture, product strategy, pricing model, and go-to-market narrative. Saying “we added a copilot” will not be enough if the underlying product is still designed around the assumption that users must live inside the app.
Some products will adapt well. In many categories, systems of record will remain important. But their role may shift. Instead of being the primary destination for users, they may become structured systems that agents read from, write to, and coordinate around. That is still valuable, but it is a different kind of value than the SaaS market rewarded over the last decade.
This is why the loudest AI announcements are not necessarily the best signal.
The better signal is whether a company is becoming more central or less central to the flow of work.
Does it own critical context? Does it control important decisions? Does it manage permissions and policy? Does it orchestrate across fragmented systems? Does it sit where work actually happens, even if the user no longer sees it directly?
Those are the questions that matter now.
So no, the SaaS-pocalypse is not really about the death of software.
It is about the shrinking power of software that only owns the screen.
And in the next phase of enterprise technology, owning the screen may matter a lot less than owning the control point behind it.