We are entering a world where the combination of our intellectual, social, and motor skills is our only lasting advantage. We must use our heads to judge the quality of output, our hearts to connect that output to human needs, and our hands to shape the final result into something unique.
f there is one thing that holds all of this together, it is the realization that Judgment is a Practice. It is not a title you are given on an org chart; it is a muscle you build through repetition. As Helen Toner put it, we need to treat our cognitive abilities like a gym. We have to do the heavy lifting of thinking and deciding, even when a machine offers to do it for us for free.
Have you noticed that you can have a productive day where you clear a hundred tasks and clear your inbox, yet you go home feeling like you didn’t actually do anything meaningful? This is what I call the Thinning of Meaning. It happens when the what of our work, the raw output, completely overwhelms the why, the human intent.
One of the most profound observations from the NY Times panel came from AI policy researcher Helen Toner. She asked a question that every leader needs to consider: Is your work a construction site or a gym?
We are drowning in answers. Every time you enter a prompt, you get a response that is grammatically perfect and logically plausible. Because the cost of the answer has dropped to near zero, the value has moved entirely upstream to the Question. Framing the problem is now the most important part of solving it.
For over a century, expertise was defined by what you knew. If you had the answers, you had the power. But as Aravind Srinivas, the CEO of Perplexity, noted in the recent NY Times panel, we are entering an age where answers are becoming a commodity.
When work moves at the speed of AI, a dangerous gap opens up between doing and owning. In slower systems, the time and coordination it took to complete a project naturally made responsibility visible. You knew who made the choice because the choice took manual effort.
In the old world of work, we were governed by scarcity. Because it was physically hard to produce anything, we assumed that more production equaled more value. But as AI removes the cost of making, we are entering a state of mediocre abundance.
There is a fundamental shift happening in the professional world that is often misunderstood as a simple replacement of jobs. We hear that AI will automate entry-level roles, but the real story is about the total redefinition of seniority. Seniority is no longer about how much you can produce; it is about how well you can steer.
There is a dangerous myth in the age of automation: the idea that the expert is someone who writes one brilliant prompt, hits generate, and walks away. In reality, especially in an environment driven by AI velocity, judgment is not a one-time event. It is an ongoing commitment. It is a practice, not a moment.