Mind the AI Gap: Asymmetrical Age Differences in Entrepreneurs’ Perceptions of Artificial Intelligence
As artificial intelligence (AI) becomes embedded in entrepreneurial practice, an unresolved question is whether age shapes founders’ perceptions of its opportunities and risks. Drawing on diffusion-of-innovations and technology adoption theories, this study examines whether age cohorts differ in their perceived benefits of AI, perceived risks, and short-term expectations regarding AI’s business impact. Using data from the 2024 Global Entrepreneurship Monitor (GEM) survey for Slovenia, we analyze ordinal indicators across all three domains. Bivariate comparisons using Mann–Whitney U tests with effect sizes are complemented by multivariate ordinal logistic regression models controlling for sector, education, and gender. The analysis reveals an asymmetrical age gap in AI perceptions. Younger entrepreneurs report higher perceived benefits and more positive impact expectations, while AI-related risk perceptions do not vary by age. Multivariate analyses show that age effects on perceived benefits are context-dependent, whereas age remains a robust predictor of future-oriented impact expectations. The study offers a theoretically grounded and methodologically transparent analysis integrating technology adoption frameworks with entrepreneurial psychology. Practically, it underscores the need for differentiated AI-readiness initiatives that address age-related differences in strategic orientation and preparedness. Future research could further explore the roles of capabilities, industry context, and entrepreneurial experience.
Authors
- Maja Rožman (ORCID: https://orcid.org/0000-0002-8546-4351)
- Katja Crnogaj (ORCID: https://orcid.org/0000-0002-2344-3977)
- Pina Slaček
Institutions
- University of Maribor (SI)
Publication Details
- Journal
- Administrative Sciences
- Published
- 2025-12-24
- DOI
- https://doi.org/10.3390/admsci16010008
- Citations
- 1
- Primary Topic
- Entrepreneurship Studies and Influences
- Type
- article
- Field-Weighted Citation Impact
- 2.76