Will AI Boost Disability Employment? Or Will Layoffs Hit This Community Hardest?
By the PathAble AI team
The headlines are clear. Layoffs are happening. There is debate over how much is being driven by efficiencies created with AI, but the outcome is the same: fewer jobs for everyone. This will, as it always does, hit disabled job seekers hardest.
People with disabilities are more than 2× more likely to be unemployed. 60% of the disabled population opts out of the workforce entirely, frustrated with workplaces that have not been built with them in mind. We have employment support programs in place in every state to provide job seekers both job training and on-the-job assistance. These programs are run not just by the State, but by human service agencies who are reimbursed for their services.
Unfortunately, these programs are stretched far too thin. Some have prohibitively long wait lists, and staff are forced to serve case loads of up to 100+ individuals per support staff member. Funding is under threat at both state and federal levels. As Medicaid establishes a work requirement, enrollment in these programs is likely only to increase — putting more strain on staff, individuals, and agencies.
Empowerment Over Replacement
We cannot solve 21st-century challenges with 20th-century tools. That is why we launched PathAble AI: to help the staff and agencies who help people train for, acquire, and stay in their jobs. Artificial intelligence should never be a stand-in for human empathy. It should remove the bureaucratic barriers that prevent staff from delivering the most direct human-to-human support possible.
For the disability employment community, AI done well looks like fewer hours buried in documentation, faster turnaround on individualized plans, and more time spent in actual coaching relationships. AI done badly looks like the same broken system, automated. The difference is who is in the room when the tools are designed.
Read the full article and explore related coverage on the PathAble AI media page, or learn how we apply this thinking in the AI Learning Portal.