A world of opportunity: how AI and Assistive tech could build independence for millions

· Source: Thoughtworks Insights · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

Published March 12, 2026, this article explores how agentic AI and assistive technology can significantly enhance independence for people with disabilities (PWD) navigating complex environments like airports. It proposes agentic AI as a personalized virtual guide, capable of observing, reasoning, planning, and responding to dynamic inputs. The technology addresses challenges for visually impaired individuals with real-time audio/haptic guidance and object recognition, assists mobility-impaired users with optimized accessible routing and obstacle avoidance, supports neurodivergent individuals with clear instructions and virtual walkthroughs, and aids hearing-impaired users with visual alerts and text descriptions. This AI layers personalized guidance onto existing airport operational systems (AODB) and digital maps, aiming to foster independence and reduce anxiety.

Key takeaway

For AI Product Managers developing inclusive solutions for public infrastructure, prioritize agentic AI integration with existing operational systems. Your focus should be on layering personalized, dynamic guidance for people with disabilities, leveraging real-time data from sources like AODB and digital maps. This approach fosters greater independence and reduces anxiety, while also tapping into the estimated \$13 trillion "purple dollar" market by creating truly inclusive experiences.

Key insights

Agentic AI offers personalized, dynamic navigation assistance for people with disabilities in complex public spaces like airports.

Principles

Method

An AI agent analyzes environments using computer vision and GPS, plans accessible routes with real-time data, and provides multi-modal guidance, dynamically re-routing as conditions change.

In practice

Topics

Best for: AI Engineer, AI Product Manager, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Thoughtworks Insights.