“I’m not reading everything anymore,” he said. “I’m figuring out what’s wrong.”
That’s not a smaller job.
It’s a different one.
A cab driver in Manchester described the same underlying skill from a different vantage point. After years on the road, he doesn’t track individual cars so much as the pressure between them—how traffic builds, where it releases, when someone is about to move before they commit. “If I have to think it through, I’m already late,” he said, describing pattern recognition operating just ahead of conscious explanation.
That doesn’t show up on a résumé.
It prevents collisions.
For a long time, abilities like that lived at the edges of the economy—useful, sometimes critical, but not central—because the center was built on repetition, structure, and control. That’s what we trained for, and that’s what we rewarded. As machines absorb more of that work, the center doesn’t disappear, but it hollows out, and the value begins to migrate toward what remains difficult to automate: judgment, synthesis, anomaly detection, and the ability to work with information that doesn’t resolve cleanly.
This is where the reframing of neurodivergence begins to matter in a practical sense. The underlying traits haven’t changed, but the environment they operate in has, and with it the balance between cost and contribution. ADHD, in a system built on low-stimulation, delayed-reward tasks, looks like a deficit. Research by Nora Volkow at the National Institute on Drug Abuse shows that those brains don’t engage as strongly with that kind of work. In environments where signals change quickly and decisions carry immediate consequences, that same sensitivity can become an asset—not universally, and not without cost, but in ways that are increasingly relevant.
Autism shifts the lens again. The difficulty is often with ambiguity and shifting social expectations, but the strength lies in systems—seeing structure, tracing logic, finding where something breaks. Researchers like Simon Baron-Cohen at University of Cambridge have documented that profile for years, and it becomes more valuable as systems grow more complex and less transparent.
Dyslexia follows a similar pattern in a different direction. Reading may be slower, but pattern recognition across space and structure is often stronger. Work summarized from Maryanne Wolf and observations from NASA point to the same trade-off.
Different wiring.
Different payoff.
But this is where the clean version of the story breaks.