Here’s a pattern I’ve noticed in myself and in almost every senior professional I’ve worked with over the past couple of years: AI hasn’t just made it faster to produce answers — it’s made it faster to arrive at decisions. And the speed of the decision has outpaced our ability to actually process whether it’s the right one.
Speed was never the constraint we thought it was
For most of my career, the bottleneck on a big decision was information — gathering data, waiting on analysis, scheduling the meeting where enough smart people were finally in the same room. AI has quietly removed a lot of that bottleneck. You can get a plausible-sounding recommendation, a first-draft financial model, or a summarized set of tradeoffs in minutes instead of days. That sounds like unambiguously good news, and in a narrow sense it is. But it exposes a problem that was always there, just hidden behind the slowness of the old process: most of us were never actually trained to make good decisions quickly. We were trained to make good decisions slowly, and the slowness did some of the quality-control work for us without our realizing it.
The gap between “I have an answer” and “I’ve actually thought this through”
This is the gap that concerns me most, both professionally and personally. A confident-sounding output — whether from a model or from your own fast instinct — can feel identical to a well-reasoned one. The stress and uncertainty that used to accompany a big decision (a new job offer, a major purchase, a leadership call at work) used to be uncomfortable, but that discomfort was doing something: it was a signal to slow down and actually weigh the tradeoffs. When the decision arrives fast and pre-packaged, that discomfort doesn’t get the chance to show up, and a lot of people mistake the absence of friction for the presence of clarity.
Why I built Decision Mirror
This is the exact problem I built Decision Mirror to sit inside of, for personal high-stakes decisions like buying a car or weighing a major financial commitment. It’s not trying to make the decision faster — if anything, it’s trying to reintroduce a small, structured pause: naming what’s actually driving the stress around a decision, separating the emotional pull from the practical tradeoffs, and giving you a clearer, calmer view of your own risk tolerance before you commit. Speed isn’t the enemy. Skipping the reflection that speed makes easy to skip is.
If there’s one habit worth deliberately protecting as AI keeps compressing decision timelines, it’s this: treat the discomfort of an important decision as information, not as friction to be engineered away. The tools that help you decide faster are only useful if you still make time to decide well.