AI tools now explicitly designed for neurodivergent workers—early evidence shows they unlock productivity for people whose brains work differently

Jono Herrington published research showing that people with ADHD, autism, and dyslexia see measurable productivity gains when AI tools are built with their working styles in mind—not as an afterthought accessibility feature, but as core design.

Instead of forcing neurodivergent users to adapt to how neurotypical people use AI (linear workflows, long context windows, focus-dependent interfaces), these tools offer task-switching without penalty, external working memory, real-time error-catching, and pattern recognition that plays to neurodivergent cognitive strengths.

For neurodivergent professionals and students, this means AI assistants that actually reduce friction instead of adding it—no more fighting your own brain's natural work style, no more 'just focus harder' friction—making knowledge work and coding competitive again for people who previously burned out or underperformed in standard tool ecosystems.

This framing shifts AI accessibility from a compliance checkbox to a market opportunity: companies building for neurodivergent workflows may discover that *everyone* works better with these interfaces, similar to how curb cuts (wheelchair ramps) became universal design.