This study investigates the moderating role of human development in the relationship between political stability and artificial intelligence (AI) innovation.
This study analyzes balanced panel data from 39 countries over 2013–2021. The empirical strategy combines baseline OLS, Panel-Corrected Standard Errors, bootstrapped standard errors, system Generalized Method of Moments, and quantile regressions to assess the robustness of the results and address inference, persistence, and potential endogeneity concerns.
The results reveal that both political stability and human development are positively and significantly associated with AI innovation. Importantly, human development significantly moderates this relationship by strengthening the positive association between political stability and AI innovation.
The sample covers 39 countries, and the patent-based AI measure captures inventive output but may not fully reflect broader AI capabilities. Future research should explore alternative AI indicators and larger samples.
Policymakers should treat political stability and human development as mutually reinforcing priorities. Even under instability, investing in education, health and economic well-being can partially buffer adverse effects on AI innovation.
The findings show that political stability and human development are mutually reinforcing social foundations for AI innovation. Countries facing both instability and weak human development may experience cumulative disadvantages in joining the global AI transition. Sustained investment in education, health, and economic well-being can strengthen societal resilience and help ensure that AI innovation becomes more inclusive and sustainable rather than concentrated in already advantaged countries.
This study shows that human development conditions the relationship between political stability and AI innovation. Rather than treating political stability and human development as separate determinants, it demonstrates that their complementarity shapes countries' ability to generate AI-related inventive output. The findings are especially relevant as global competition for AI leadership intensifies and reinforces the need to combine stability-enhancing governance reforms with long-term investment in human development.
