A University of Phoenix survey conducted by The Harris Poll finds that artificial intelligence is increasing accessibility in work and learning environments [1].

These findings highlight a critical tension between the technical capabilities of AI and the lagging administrative frameworks meant to govern them. While the tools are empowering individuals, the lack of formal policy could lead to inconsistent implementation across different industries.

The survey, conducted in July 2026, focused on recent working learners in the U.S. [1]. According to the data, 60% of workplace AI users said AI improved their knowledge of and ability to use accessibility standards [2]. This suggests that AI is acting as a bridge, allowing users to implement inclusive design and communication more effectively than they could with traditional tools.

However, the data also reveals a significant lack of institutional support. Approximately 45% of respondents said accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies [3]. This gap indicates that while employees are leveraging AI to solve accessibility problems, their employers have not yet codified these practices into official standards.

"While the findings point to optimism about AI's accessibility potential, they also reveal an opportunity for clearer organizational guidance," a source said [4].

The survey comes as AI becomes more integrated into how people work, learn, and solve problems [1]. The University of Phoenix sought to explore these specific opportunities to support accessibility in professional and educational settings [1]. The results suggest that the technology is currently outpacing the policies designed to manage it, leaving many workers to navigate accessibility standards without official oversight.

“60% of workplace AI users say AI improved their knowledge of and ability to use accessibility standards.”

The disparity between user proficiency and corporate policy suggests that AI is driving a 'bottom-up' adoption of accessibility standards. Rather than waiting for institutional mandates, employees are using AI to autonomously improve inclusivity. For organizations, this creates a risk of fragmented compliance where accessibility depends on an individual's toolset rather than a universal company standard.