The AI Adoption Gap with
Neurodivergent People
The Unmet Promise: Understanding the AI Adoption Gap
Globally, an estimated 15-20% of the population is neurodivergent, yet many are left behind as AI advances. A crucial 'AI adoption gap' persists, preventing technology from fully empowering this community.
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Key Barriers to AI Adoption
Lack of Foundational Digital Skills
A significant portion of individuals with learning disabilities lack the essential digital skills needed to fully engage with new technologies
Cultural
Stigma
​
Societal stigmas may prevent neurodivergent individuals from seeking or being offered technological aids they need.
Challenges in Diagnosis and Recognition
Delays or misdiagnoses occur due to a lack of awareness among clinicians. Reducing opportunities for aid and access.
Lack of Inclusive Design
Many mainstream AI tools are not built with universal accessibility leading to poor usability and abandonment.
Socioeconomic Factors
Lower income, education levels, and the high cost of specialized assistive tech significantly limit access.
Awareness & Training Deficit
Insufficient knowledge, training, and support for neurodivergent individuals halts AI production.
Bias & Trust Erosion
AI models trained on unrepresentative datasets can be biased or inaccurate, eroding user confidence.
The gap in AI adoption hints at an even larger digital divide that exists between the neurodivergent and neurotypical populations.
The digital divide stems from a lack of access to mainstream technology (like computers, mobile phones, and use of the internet), and discrepancy of digital comprehension skills.
35%
vs
21%
of the UK population with Learning Disabilities
of the UK population without Learning Disabilities
Do Not Hold the Essential Digital Skills for Life
AI's Life Changing Potential
Communication
AI-powered Augmentative & Alternative Communication (AAC) apps and real-time speech-to-text bridge gaps. Natural Language Processing (NLP) personalizes language, for quicker and clearer communication.
Accessibility
AI-driven screen readers, image-to-text converters, and accessible navigation apps improve access to physical and digital worlds.
Autonomy
AI personal assistants, smart home devices, and reminder apps automate tasks for greater autonomy.
Education & Employment
Personalized learning using Intelligent Tutoring Systems (ITS) and AI machine learning to identify and correct bias in management processes.
What Good AI Can Do
Share Accessible Resources
Pioneer
AI
Research
Establish a
Global
Partnership
