Possible For All · Market Analysis & Research

The people AI was not designed for are not a niche. They are one in four.

A sourced look at who Possible For All serves, how big the need is, what AI can already do for disabled and neurodivergent people, and the gap no one is filling. Every figure is cited. Numbers current as of June 2026.

The short version

Why this matters, in five numbers.

1.3 billion
people worldwide live with a significant disability, about 16% of the planet1
1 in 4
U.S. adults, over 70 million people, report a disability2
$4.2B → $52B
AI-in-accessibility market, 2024 to 2034, growing about 28.7% a year5
1 in 5
people show signs of dyslexia, the most common learning difference7
1 in 31
U.S. children are identified with autism, up from 1 in 36 two years earlier6

The thesis. AI is the most powerful tool of our generation, and it was not designed for the way a quarter of the population actually thinks, reads, sees, hears, or moves. The technology to close that gap already exists. What is missing is someone who teaches these communities how to use it, in their language, and connects them to the resources and accommodations they are entitled to. That is the space Possible For All fills.

The population

Who we serve, by the numbers.

Disability is the largest minority in the world, and the only one any person can join at any time. Globally, an estimated 1.3 billion people, about 16% of the world's population, live with a significant disability, a number that is rising as populations age and chronic illness increases.1

In the United States, the Centers for Disease Control reports that more than 1 in 4 adults, over 70 million people, live with a disability, the highest figure ever recorded.2 The CDC groups these by function:

Type of disabilityShare of U.S. adultsWhat it can affect
Cognition13.9%Focus, memory, learning, decision-making. Includes ADHD and learning differences.
Mobility12.2%Walking, typing, physical interaction with devices.
Independent living7.7%Doing errands and daily tasks alone.
Hearing6.2%Audio, calls, video without captions.
Vision5.5%Reading screens, small text, low contrast.
Self-care3.6%Dressing, bathing, daily routines.

Source: CDC, data from the 2022 Behavioral Risk Factor Surveillance System.2 Cognition is the single most common category, which is exactly where ADHD, autism, and learning differences live.

Specific communities

The opportunity

The tools are being built. The teaching is not.

The market is moving fast. The global AI-in-accessibility market is projected to grow from about $4.2 billion in 2024 to roughly $52 billion by 2034, a compound growth rate near 28.7% a year.5 The broader assistive technology market was valued around $26.8 billion in 2024 and is growing steadily.4

That money is going into building tools. Almost none of it is going into teaching disabled and neurodivergent people how to actually use mainstream AI, which is the part that decides whether any of it reaches them.

The gap is not a lack of technology. The gap is the front door. A powerful tool nobody taught you to open is not powerful for you.

What AI already does

The proof, community by community.

This is not theoretical. For each group, mainstream AI is already removing real barriers:10

CommunityWhat AI can do today
Blind / low visionAI describes photos and surroundings out loud, reads text, identifies objects and currency. Tools like Be My Eyes and Seeing AI do this now.
DyslexiaAI reads aloud, breaks text into syllables, summarizes dense material, and turns spoken thoughts into organized writing.
AutismAI gives a low-pressure way to communicate without decoding tone or body language, and personalizes learning pace.
ADHDAI separates a flood of thoughts, breaks tasks into one step at a time, and helps start the things avoidance freezes.
Deaf / hard of hearingAI live-captions conversations, video, and calls in real time.
MobilityVoice control and predictive text reduce typing and physical strain.
The catch

AI does not help automatically. It has to be made to.

The same tools can exclude. AI built without disabled people in mind carries the same gaps and biases as the world it learned from, and most products have no accessibility mode, no simplified output, no one-step-at-a-time setting.11 U.S. law is catching up: a 2024 Department of Justice rule requires state and local government digital content to meet WCAG 2.1 AA accessibility standards, and courts increasingly hold private companies to the same bar.12

That tension is the reason this work matters. Someone has to stand between the people and the tools, translate one to the other, and push the companies to build the door wider.

The landscape

Who else is in this space, and the gap they leave.

PlayerWhat they doWhat they miss
Big Tech accessibility teamsApple, Microsoft, Google, and partners like Be My Eyes build features into products.They build tools, not guidance. They assume you already know how to use them.
Assistive tech vendorsSell specialized hardware and software.Expensive, clinical, product-first, not community-first.
Disability nonprofitsAdvocacy, research, support.Rarely focused on practical, modern AI skills.
AI coursesCoursera, Google, Anthropic teach general AI fluency.Built for a neurotypical learner. Not designed for how these minds work.

The white space. No one is teaching disabled and neurodivergent people how to use everyday AI in a way that fits how they think, while also connecting them to resources and accommodations, from lived experience, in a warm and human voice. That intersection is empty. That is Possible For All.

Positioning

Where we start, and where we go.

We start with ADHD, because it is the founder's lived story and the community she can speak to with full honesty. It is also the largest slice of the most common disability category, cognition.2

We grow to all disabilities, one community at a time: learning differences, autism, low vision and blindness, deaf and hard of hearing, mobility, and chronic illness. Each gets its own guidance, its own resources, and its own accommodations roadmap, built with people from that community, never just for them.

The mission is one sentence: help people with disabilities learn to use AI in a way that works for them, and connect them to the resources and accommodations they deserve.

Sources

Where the numbers come from.

  1. World Health Organization, Disability fact sheet (1.3 billion / 16%). who.int
  2. CDC, "Over 70 Million U.S. Adults Reported Having a Disability" and Disability & Health data (1 in 4; type breakdown). cdc.gov
  3. CDC, "Disability Impacts All of Us" infographic. cdc.gov
  4. Assistive technology market size, approx. $26.8B in 2024 (market research aggregation; figures vary by firm). imarcgroup.com
  5. Market.us, AI in Accessibility Market ($4.2B in 2024 to ~$52.36B by 2034, CAGR 28.7%). market.us
  6. CDC ADDM Network autism prevalence (1 in 36, 2023 report; updated to 1 in 31 in 2025). cdc.gov
  7. International Dyslexia Association via published statistics summaries (15 to 20% of population; 80 to 90% of learning disabilities). dyslexia.yale.edu
  8. American Psychiatric Association, adult ADHD research highlights (undiagnosed adults; women and inattentive presentation). psychiatry.org
  9. NIDCD, Quick Statistics About Hearing (~37.5M adults report trouble hearing); Hearing Loss Association of America (50M+). nidcd.nih.gov
  10. Summary of current AI accessibility tools and uses (Be My Eyes, Microsoft Seeing AI and Immersive Reader, live captioning, predictive text). cliffordchance.com
  11. Inclusive AI considerations and the risk of AI excluding disabled users when not designed inclusively. cliffordchance.com
  12. U.S. Department of Justice, ADA Title II web accessibility rule (2024), requiring WCAG 2.1 AA. ada.gov

Note: market-size figures differ across research firms depending on method and scope. The ranges here reflect the most commonly cited 2024 baselines and published growth forecasts. Prevalence figures are from government and recognized health bodies.