The concept of "technological leapfrogging" allows emerging economies to bypass traditional, resource-intensive development phases by directly adopting advanced innovations. This study investigates the impact of deploying Artificial Intelligence (AI) to bridge critical physical infrastructure gaps across three vital sectors: healthcare diagnostics, decentralized energy management, and transport logistics. Using a mixed-methods structural equation modeling approach supplemented by expert stakeholders' interviews, this paper evaluates the efficiency, scalability, and structural performance of AI-driven systems operating in environments with significant digital and physical deficits. The results demonstrate that AI deployment yields a statistically significant increase in resource allocation efficiency and system resilience, validating the structural capacity of AI to substitute for absent physical assets. The study concludes that AI serves as a viable institutional proxy for accelerated industrialization, provided that minimum digital readiness thresholds are preserved.