The integration of artificial intelligence (AI) within entrepreneurial and organizational contexts has accelerated rapidly, reshaping traditional models of talent utilization, workforce augmentation, and strategic innovation. This study examines the transformative role of AI‑based copilots as force multipliers for talent‑deficient teams within short‑staffed environments, extending and foregrounding the foundational frameworks proposed in contemporary research on AI copilots and workforce dynamics (Rajgopal, 2025). Through an extensive analysis of the literature on AI’s impact on entrepreneurial education (Chen, 2024), workforce preparation (Nithithanatchinnapat et al., 2024), and AI as an enabler for entrepreneurial behaviour (Giuggioli and Pellegrini, 2022), this article synthesizes theoretical, pedagogical, and practical perspectives to construct a comprehensive conceptual model. Methodologically, a qualitative meta‑analysis approach is employed to examine narrative patterns within cross‑disciplinary studies, encompassing both technological and humanistic dimensions of AI integration. Results reveal multifaceted effects of AI copilots on organizational learning, task execution efficiency, and collaborative intelligence formation within entrepreneurial ecosystems. Discussion foregrounds the implications of these developments for talent management, innovation diffusion, and the evolution of entrepreneurial roles, while situating the conversation within broader debates on ethical, educational, and economic consequences. By interrogating the dialectic between AI augmentation and human agency, the study delineates future research directions and identifies key theoretical gaps in understanding long‑term sustainability of AI‑enhanced work systems. This work contributes to the scholarly discourse by offering a nuanced and critical exploration of AI copilots as strategic assets that transcend mere technological augmentation, highlighting their potential to transform workforce structures and entrepreneurial outcomes.

Artificial intelligence, Copilot augmentation, Entrepreneurial ecosystems, Workforce talent multiplication

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