AI Training Certificates Provide Limited Hiring Boost for Underrepresented Groups
New research shows AI skills narrow, but do not eliminate, persistent hiring disparities.
1Experimental Hiring Study
Economist Nick Drydakis conducted a controlled experiment in London during 2025 to measure the impact of AI training on job applications. His team submitted over 3,000 matched applications for private-sector roles. The study specifically targeted underrepresented groups, including Black British women, older applicants, lesbian women, and those on the autism spectrum.
2Persistent Hiring Gaps
Majority-group applicants received interview invitations 25 percent of the time, while underrepresented candidates without AI credentials received them only 11 percent of the time. Even with an AI certificate, the invitation rate for underrepresented groups only rose to 14 percent. This indicates that technical training does not fully bridge existing recruitment gaps.
3Varying Impact by Group
The effectiveness of the AI certificate differed significantly across demographics. Lesbian women saw their invitation rate rise from 13 to 18 percent, while autistic applicants increased from 7 to 11 percent. Conversely, Black British women experienced only a negligible change, suggesting that AI credentials do not provide a universal benefit for all job seekers.
4Wage Disparity Effects
Beyond interview frequency, the study examined the quality of job offers. Underrepresented women without AI training were typically invited to roles paying 7 percent less per hour. With the certificate, this wage gap narrowed to 4 percent. While the training improved pay prospects, it failed to achieve parity with majority-group applicants.
5Methodology and Controls
To ensure accuracy, 71 participants, including HR professionals, verified that all application signals were clear and matched. Researchers submitted three applications per job ad, ensuring each candidate possessed identical vocational qualifications. This rigorous design allowed the team to isolate the specific impact of the AI certificate on employer screening decisions during 2025.
6Limitations of the Study
The research focused exclusively on non-degree private-sector jobs in London and did not track actual job offers or workplace treatment. Furthermore, because majority-group applicants did not hold the AI certificate, the study could not determine if the training would provide a similar boost to those already favored by current hiring practices.
7AI Capital Concept
Drydakis suggests that AI skills function as a form of capital that workers can accumulate to improve market outcomes. However, he emphasizes that such training should not replace fair recruitment practices. The findings highlight that technological solutions alone are insufficient to overcome deep-seated biases in the initial screening stages of hiring.
8Future Market Implications
As AI training becomes more common, the competitive advantage of a certificate may diminish over time. Future studies will need to determine if these results hold for graduate-level positions or different geographic regions. Policymakers and employers must prioritize consistent assessment standards alongside digital skills training to ensure equitable opportunities for all candidates.