Nobody saw the obituary coming because we were busy renewing software subscriptions and training people to use tools that may soon feel unnecessary. For decades, software has translated human intent into instructions a machine can follow. We became so accustomed to that translation layer that we started treating its friction as a feature: onboarding, navigation, dashboards, learning curves.
The interface was a workaround
Every application solved the same fundamental problem. Computers needed explicit instructions, while most people needed a friendlier way to provide them. Buttons, menus, forms, dashboards, and entire customer-success departments emerged to help people speak machine without writing code.
Agents change that relationship. You state the outcome, and the system can determine which steps and tools are required, adapt when something goes wrong, and continue without waiting for an instruction at every turn. When the interface stops being the center of the experience, a large part of what traditional software was built to do loses its reason to exist.
The translation layer is collapsing
A CRM asks people to record calls, update relationships, and remember what needs follow-up because the system cannot understand the context on its own. An analytics dashboard gives us charts because the machine cannot simply answer the business question. These products required humans to perform cognitive labor on behalf of the software.
Agents can increasingly own parts of that labor. That does not make human involvement obsolete. It changes where human judgment is most valuable.
The new job is keeping agents honest
I work alongside agents constantly. Much of my role is catching the moment when the reasoning drifts, when an answer is technically correct but wrong for the situation, or when a system optimizes for what I said rather than what I meant.
That ability comes from domain experience. You need to know what good work looks like, which shortcuts create problems later, and when something that appears finished is merely coherent. Agents have extraordinary stamina and very little intuition. They can move quickly in exactly the wrong direction unless someone knowledgeable remains responsible for the outcome.
This is more than another delivery mechanism
I have built on the web since 1999 and watched mobile absorb the desktop, the cloud hollow out the server room, and SaaS turn enterprise software into subscriptions. Each shift was significant, but each largely delivered the same model in a new way.
Agents alter the model itself. The relationship between human intent and machine execution is being renegotiated. What replaces traditional software will still need experienced people—people who understand the real world well enough to tell an agent what matters, recognize when it is wrong, and remain accountable for what reaches production.