We thought AI would reduce our cognitive load. We thought it would do the heavy lifting so we could relax, or at least focus on the “fun” parts of the job. We thought it was an efficiency tool.
But AI doesn’t reduce thinking. It just changes the type of thinking we do.
Before agentic development, an engineer spent their brainpower on deep, focused problem-solving. They sat down with a single task: writing a correct function, solving a logical puzzle, or hunting down the root cause of a bug. It was a linear process. You could hold the entire context of the problem in your head at once.
Agentic coding changes that entirely. The mental mode is no longer deep problem-solving. The new mental mode is rapid judgment.
The Multithreaded Mind
You are no longer the person writing the code; you are the person supervising the agents that write the code. And that means you are context-switching constantly. Every time the AI generates a file of code—and it generates them very, very fast—you have to make a micro-decision.
Do I accept this change? Is this code actually safe? Does it break our enterprise architecture? Does it violate our compliance guardrails? Did the AI actually understand the legacy spaghetti code it just tried to refactor, or did it just hallucinate a plausible-looking solution?
You are making these decisions dozens, maybe hundreds of times a day. You are fragmenting your attention to levels that require downright multithreaded thinking. And humans are terrible at multithreaded thinking.
The Trust Deficit
This matters immensely for those of us working in regulated industries—in banking, in insurance, in ESG reporting. In these industries, trust is hard, and the cost of being wrong is incredibly high.
When you deploy agentic AI in a regulated environment, the burden of trust falls entirely on the human orchestrator. But when you are suffering from decision fatigue—when your multithreaded mind is stretched to its absolute limit—that chain of trust starts to break down. You start rubber-stamping pull requests. You start assuming the AI got it right because it usually gets it right. And that is exactly when a compliance failure happens.
The Bottom Line
Agentic development doesn’t remove cognitive load. It converts engineering into decision orchestration. In the AI era, the scarce resource isn’t compute. It isn’t the ability to generate text or code. The scarce resource is clarity of thought.
