What Picking From AI Options Does to Your Focus
An adult who runs a lot of their workday through AI tools is doing less generating and more picking. A new two-experiment study on attentional inhibition and cognitive flexibility helps name what the picking actually costs.
A new study on creative thinking finds that picking the right answer from candidate options draws on two specific cognitive-control muscles: attentional inhibition and cognitive flexibility. A working adult whose day now runs heavily through AI tools is doing more of this picking and less generating. The tired-from-picking feeling has a name in the research now, even though the tools have not caught up.
A small thing I noticed on Tuesday. The tool handed back three drafts of the same email, all fine, none mine. I spent an hour switching between them. Take the opening from the first, the middle from the third, rewrite the close, no, undo, the second was better. By the end I was tired in a specific way. Not from writing. Not from thinking up sentences. From the steady stream of small picks.
What the research shows
A two-experiment paper out at the end of April in BMC Psychology, from Zoe Hughes, Linden Ball, and Jeannie Judge at Liverpool John Moores and the University of Lancashire, sets up a careful test of how attention does creative work. The researchers used a standard reaction-time task to pull out two cognitive-control measures from each person. One was attentional inhibition, the muscle that suppresses a wrong-but-tempting answer. The other was cognitive flexibility, the muscle that switches your mental set away from a line of attack that is not working. The second experiment added a different card-sorting task to double-check the flexibility measure. They then asked the same people to do two kinds of creative work: a convergent task, where you have to find the one word that ties three cues together, and a divergent task, where you have to invent as many unusual uses for a common object as you can.
The finding is the part the daily piece turns on. Convergent creativity, the choosing-from-candidates work, was predicted by both control muscles working together. Divergent creativity, the generating-many-alternatives work, did not lean on those muscles in the same way, with one careful exception: attentional inhibition specifically predicted how original the unusual uses were, by helping people suppress the obvious answer in favor of the strange one. The two halves of creative thinking, in other words, do not share the same attention bill. This is the same gap underneath the shape of your workday shift many of us are quietly feeling: less doing, more choosing.
"Convergent creativity, indexed by CRAT accuracy, was predicted by both attentional inhibition and cognitive flexibility."
What it does not tell us yet
Two experiments, one research group, one paper. Not replicated. The participants were adults in a psychology lab, not specifically working professionals, and the study did not measure anyone using an AI tool. The bridge to a workday spent picking between AI drafts is mine, not the authors’. The full numbers were behind a paywall when I went looking, so the line I have quoted is the relationship the article reports, without the effect sizes. The finding is a starting signal worth holding lightly, not a settled effect.
Picking from options is not the cheaper half of creative work. It is the half that pulls hardest on two specific muscles at once.
One thing to notice in your work today
The day-tired-from-picking feeling is real, and the research is starting to name what it is. The AI did not do my thinking for me on Tuesday. It moved the thinking into the part of my brain that decides among options, which is the part the research says is working hardest in convergent creative tasks. The same is true of the defaults that trade depth for ease: the speed gain shows up at the front of the task and the cognitive bill arrives quietly at the back. Notice today how often the AI hands back three fine options. Notice the small effortful pull when you choose. That pull is the work. The new tired has a name in the research now, even where the interfaces have not caught up. Small noticing, calmly held, is enough for one day.