Artificial intelligence (AI) is revolutionising the accessibility sector, transforming how people with disabilities interact with technology.
The scale of this shift is enormous. The World Economic Forum predicts that by 2050, 3.5 billion people will require one or more assistive products. Meanwhile, the global assistive technology market is projected to be worth $31 billion by 2030, with AI algorithms being the underlying driver.
For technology companies, this presents unprecedented opportunities, but also serious ethical and structural risks. Here are the three major trends of how AI is reshaping the digital accessibility landscape.
Accessibility is moving into mainstream ecosystems
One of the most significant shifts is that accessibility will no longer be exclusive to specialised assistive devices. Previously, people with disabilities relied on dedicated technologies such as screen readers and communication aids. While these tools enabled access, they often required users to adapt to rigid systems and workflows.
With AI entering the picture, that relationship is reversed. Mainstream platforms are now embedding accessibility as another layer into their systems through features such as speech recognition, captioning, environmental description and real-time translation.
"This evolution marks a transition from fixed, prescriptive tools to flexible systems that respond to context, preference, and behaviour," wrote David Banes, an expert in assistive technology and Director of David Banes Access and Inclusion Services.
Apple, for example, has expanded AI-powered accessibility functions across iPhone and Mac ecosystems, including Personal Voice and Eye Tracking features designed for users with speech and mobility impairments.
Meanwhile, Google continues to develop AI tools such as Guided Frame for blind users, Lookout for object recognition and Gemini-powered accessibility functions across Android devices.
Startups are also a key driver behind the trend. Roscommon Systems, a Brisbane-based technology startup, recently launched a video narration service for its AI-powered screen reader LIMA. The feature can be seamlessly integrated into video-heavy platforms such as YouTube.
"AI's benefits are real and are making a meaningful difference in the daily lives of blind and vision-impaired people," said founder Callum Ginty.
"For a podcast video where it's just two hosts talking on a plain background, LIMA is intelligent enough to know that such a video doesn't need very much narration. Whereas a movie action scene will have much more narration as this type of media is more visually heavy."
AI systems are evolving from assistive tools into memory-based assistants
While traditional accessibility technologies are largely static, AI-powered systems can continuously evolve with the users, learning from routines, conversations and environments to provide more personalised support. Some researchers described these systems as early forms of "AI companions" rather than standalone accessibility tools.
For example, Voiceitt uses AI-powered speech recognition designed for people with speech impairments and non-standard speech patterns. Rather than relying on fixed voice commands, the system learns and adapts to an individual user's speech over time.
Generative AI is accelerating this shift even further. Large language models may eventually allow users to customise accessibility tools using natural language rather than technical coding skills. This represents a shift away from single-purpose accessibility solutions toward adaptive, personalised systems that understand context, memory and user intent over time.
The next phase of accessibility will be defined by trust
The accessibility gap, however, has not disappeared. Research shows AI systems can still hallucinate, generate inaccurate descriptions and misinterpret visual information. These risks are particularly acute for blind and low-vision users, especially in high-stakes contexts such as healthcare, finance or employment.
Robert Dodd, Head of Accessibility at the CNIB Access Lab, described AI as both "the most promising tool and the most concerning threat in digital accessibility today." He noted that 96.3% of the world's top homepages still contain detectable accessibility failures.
According to a 2025 review published in the Premier Journal of Artificial Intelligence, key concerns of integrating AI into assistive technologies include bias in AI systems, usability shortcomings, and limited intersectional inclusivity.
This technological evolution also poses new ethical risks of surveillance, data privacy and dependency. A memory-based assistant raises questions about the amount of sensitive personal and behavioural data they inevitably collect.
As assistive AI systems become more memory-driven and context-aware, the challenge will not simply be building technologies that are more capable. Rather, it will be ensuring these systems remain trustworthy, transparent and ultimately controlled by the people who rely on them most.