AI interfaces often fail neurodivergent users with variable attention patterns. This article examines how designing for both hyperfocus and distractibility through customization, reduced visual clutter, and user control can create more accessible AI systems. Research shows accessibility features benefit all users, with customizable interfaces improving satisfaction by up to 40% across user groups.