AI alone is not enough for digital accessibility

Digital accessibility requires more than just artificial intelligence. While AI can help with tasks like detecting technical errors, it cannot fully ensure that digital services are accessible to everyone, especially people with disabilities.

Accessibility depends on user experience

True accessibility is about user experience, which varies depending on the type of disability, the tools used, and how people interact with digital content. Automated tools may find issues like poor contrast or missing image descriptions, but they cannot capture the full picture of how users actually experience a website.

Real-world testing is essential

In 2026, a study by Accessiway found that while automated tools like Google Lighthouse gave CAC 40 company websites an average accessibility score of 89.5%, a more detailed analysis using both AI and human expertise revealed an average score of only 59%. This highlights the importance of testing with real users who have disabilities.

AI can support, but not replace, human expertise

AI can help by automating checks, monitoring changes, and identifying potential accessibility issues quickly. It can also support continuous improvement by analyzing code quality and detecting regressions after updates. However, it cannot replace the need for human judgment and lived experience.

Combining AI and human input is key

The most effective approach to digital accessibility combines AI's efficiency with human expertise and the insights of people with disabilities. This ensures that digital services are not only technically correct but also usable and inclusive for all users.

Accessibility is about real-world usability

Ultimately, digital accessibility is not just about scores or technical compliance. A website is truly accessible when people with disabilities can use it independently and with the same ease as others, ensuring equal access to information and services.