AI Skills Improve Job Prospects: Causal Evidence from a Hiring Experiment
Fabian Stephany, Ole Teutloff, Angelo Leone

TL;DR
This study provides causal evidence that AI skills significantly enhance hiring prospects, can offset disadvantages like age and education, and influence recruiter decisions across different occupations and backgrounds.
Contribution
It offers the first experimental evidence that AI skills serve as a strong positive signal in hiring and can mitigate traditional labor market disadvantages.
Findings
AI skills increase interview invitation probabilities by 8-15 percentage points.
AI credentials have a moderate impact compared to self-declared AI skills.
AI skills can offset disadvantages related to age and lower education.
Abstract
The growing adoption of artificial intelligence (AI) technologies has heightened interest in the labor market value of AI related skills, yet causal evidence on their role in hiring decisions remains scarce. This study examines whether AI skills serve as a positive hiring signal and whether they can offset conventional disadvantages such as older age or lower formal education. We conducted an experimental survey with 1,725 recruiters from the United Kingdom, the United States and Germany. Using a paired conjoint design, recruiters evaluated hypothetical candidates represented by synthetically designed resumes. Across three occupations of graphic design, office assistance, and software engineering, AI skills significantly increase interview invitation probabilities by approximately 8 to 15 percentage points, compared with candidates without such skills. AI credentials, such as university…
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Taxonomy
TopicsEthics and Social Impacts of AI · Employer Branding and e-HRM · Digital Economy and Work Transformation
