We're Wasting the Real Benefits of AI

May 21, 2026 I think some people see AI with the wrong perspective on time and speed. The hype is always about how fast you can ship something. It gets worse when you add the immediate culture we live in now. If the model takes more than 10 seconds to think, we get impatient. Fast outputs feel like the whole point. Fast outputs are good. But the best part, in my experience, is the free time you get to plan the output. I don't see that promoted much. Last week I had a simple task: implement three MongoDB schemas. The GitHub card was clear and detailed. Schema names, fields, and what each one was for. Still, I wanted to validate everything first. The feature behind this task had been discussed a lot in the background, so the requirements might have shifted. I started a session with AI and gave it as much context as I could: a Google Docs feature briefing, a document on the main issue vs the proposed solution, a transcript from a Figma design presentation, related schemas already in the codebase, and the issue I was assigned to. We spent about an hour discussing and validating. The result wasn't three quick schemas. It was a revised version with missing fields added, complex structures refactored, field names standardized, better collection names, and a list of questions to run by the customer. I shared the revision, got their feedback in a few minutes, and landed on a final validated version. Now imagine I had just said: "Read this issue and implement the schemas." My opinion is that we often waste the real benefits of AI. Not the seconds it saves typing code. The hour (or more) you get back for what actually matters: understanding the problem, catching gaps early, and aligning with people before you build the wrong thing. That's the same direction as my pre-planning approach, just applied to a smaller, concrete task. Speed is nice. Planning time is better.