For a long time, we identified ourselves with the how: how to write, how to design, how to research, how to execute an idea. Over the course of our careers we accumulated techniques and processes—and, to some extent, we confused them with ourselves.
But what happens when the “how to” becomes abundant? When everyone can suddenly do the thing we once treated as a core part of our being?
Almost everything we do now passes through a computer. We work, write, design, analyze, communicate, search, and think through digital interfaces. The computer is no longer merely a tool for automation—it has become a tool for thought. So if agentic systems can perform what we do on a computer faster, better, and with greater autonomy, what is being challenged is not simply repetitive work: It is the way we have learned to define our own value.
As a result, value will move elsewhere: toward choosing what is worth doing, recognizing what is interesting, asking questions others have not asked, and developing taste, curiosity, judgment, and sensitivity.
In other words, value moves toward what exists outside the computer. Outside the computer we are our experiences, obsessions, memories, contradictions, and desires. And no model can give us those inputs.
When everyone has access to extraordinary execution, knowing how to do something will no longer be enough. The question will become much harder: What do you want to do when you can do almost anything?
Discovering that uniqueness can be difficult. It requires excavation and an openness to exploration. Artists have always known this. So have children, who explore without demanding an immediate purpose. They simply play. Perhaps AI will push us toward something similar—a life less dominated by problem solving and more open to discovery. Somewhere where “how to” stops holding so much meaning.
Perhaps the real challenge of AI will not be learning how to use it. It will be discovering who we are without it.
