Accessibility and ADA Compliance

There are important reasons why organizations that operate websites will want to make them accessible to the blind and others with disabilities that make it difficult for them to navigate sites using conventional methods. For one, it’s the law, at least in the North America and Europe. Second, there are a lot of disabled people, and they spend a lot of money. Companies that don’t accommodate them will lose business to those that do.

In the United States, the American with Disabilities Act requires that websites be accessible. In addition, there is a separate federal law covering airline websites. And several states have passed their own laws. In 2024, there were more than 4,000 lawsuits filed in the U.S. based on website accessibility, including more than 2,400 in federal court and about 1,600 in state courts, according to an annual review by Usablenet. Court judgments usually run from a few thousand to some tens of thousands of dollars, but in one notable case retailer Target was fined $6 million for noncompliance. There are also similar laws in key markets like Canada and the European Union.

Disabled people represent an important segment of consumers. There are 73 million U.S. residents with disabilities, and they had $1.3 trillion in disposable income in 2024, according to the 2024 Global Economics of Disability report. Add in Canada and Europe, and there are 211 million consumers with disabilities with total disposable income of $1.58 billion.

Nearly 67% of accessibility lawsuits target companies with less than $25 million in annual revenue, demonstrating that businesses of all sizes face significant legal exposure when their digital properties fail to meet the international Web Content Accessibility Guidelines (WCAG) standards. To comply, websites generally should make it possible for screen readers to read text, include captions for images that convey information, enable users to make text larger, and to navigate a site with keyboard commands, among many other recommendations.

In 2024, 77% of U.S. web accessibility lawsuits targeted online retailers, making accessibility a particular priority for ecommerce executives. Retail websites are constantly being updated and adding complex features like filters and carousels that can be challenging to make accessible. As a result, ecommerce organizations must navigate a complex web of technical requirements, legal obligations, and user experience considerations while maintaining rapid deployment cycles.

Modern AI-powered accessibility solutions combine multiple technologies to automate WCAG compliance checking, generate alternative content, and integrate seamlessly into development workflows. The automated testing layer operates through continuous integration pipelines, analyzing code changes in real-time and flagging violations before they reach production.

Computer vision and natural language processing technologies enable sophisticated content generation capabilities. AI-powered generators of “alt text” (the text embedded in images that can be read to people with limited vision) analyze image content and automatically add descriptions. These systems leverage advanced machine learning models to understand image context and generate human-readable descriptions that meet WCAG requirements. The technology generates descriptions of images in complete sentences, with confidence thresholds set to ensure accurate alt text. Integration with content management systems enables automatic processing of product images and marketing materials at scale. AI can also quickly find examples of text with poor contrast that could be hard to read and suggest improvements and automate other accessibility tasks.

The integration architecture connects accessibility automation tools directly into development workflows through APIs and integrations with Continuous Integration/Continuous Delivery/Deployment (CI/CD) pipelines that automate the process to build, test and release software. Automated tests run accessibility checks and log violations. The architecture includes real-time monitoring capabilities that track accessibility scores and provide actionable remediation guidance to development teams.

Despite significant advances, AI-powered solutions face important limitations that require human oversight. From a digital accessibility perspective, simply describing an image isn’t always sufficient; text alternatives must serve an “equivalent purpose” to be accurate given the website context. Automated tools struggle with subjective criteria 281 3.3 Design such as content clarity and logical reading order. Recent estimates suggest automated AI tools can only identify 20-40% of WCAG violations. Organizations must implement hybrid approaches that combine automated scanning with manual audits and user testing with assistive technologies.

With video increasingly common ecommerce and other websites, Amazon is tackling the challenge of developing a cost-effective way to produce commentary that would explain video content to visually impaired people. In a June 2025 blog, Amazon Web Services explained that the biggest barrier is cost, estimated at $25 a minute when done manually by engineers, script writers and actors. While still in the test phase, Amazon developed a way to use generative AI to create that content, using, among other tools, its Rekognition technology for analyzing video content and Polly text-to-speech service. The system analyzes video content, generates text descriptions, and narrates them using AI voice generation. While noting that this is only an early experiment, the developers said, “This approach can significantly reduce the time and cost required to make videos accessible for visually disabled audiences.”

Shopify offers merchants on its ecommerce platform the AltText.ai app that creates descriptive, SEO-friendly text for product images. That includes using keywords from the retailer’s product name, brand, and description in the alt text. Merchants say it has improved their SEO rankings and discoverability on Google Image Search.

An example of a startup that is using AI to make ecommerce accessible to visually impaired people in InnoSearch, which launched in 2024. It is designed to enable shopping, travel planning and other online tasks and claims to be able to access more than 1 billion products across 500,000 websites. It’s also been incorporated into the Be My Eyes app that connects the visually impaired with volunteer assistants.

The market for AI tools for digital accessibility is growing rapidly, according to Market.us Scoop, which projects growth from $4.2 billion in 2024 to $52.36 billion in 2034, a compound annual growth rate of 28.7% during the forecast period 2025 to 2034.

The accessibility automation market encompasses specialized testing platforms, AI-powered content generation services, and comprehensive compliance management solutions. Enterprise-grade platforms combine automated scanning with workflow integration, reporting dashboards, and remediation tracking. These solutions differentiate through depth of WCAG coverage, accuracy of detection, and integration capabilities. The market includes both open-source foundations that provide core testing engines and commercial platforms that build comprehensive management capabilities around them.

Selection criteria should include support for multiple WCAG versions, integration with existing CI/CD pipelines, and the availability of expert support. The ability to generate actionable remediation guidance that developers without specialized knowledge can implement is a critical differentiator.

Implementation success depends on selecting solutions that align with organizational maturity and technical architecture. The evolving regulatory landscape, including the European Accessibility Act enforcement that began in June 2025, drives demand for solutions supporting international compliance standards.