Document Type
Article
Publication Date
Spring 1-14-2026
Abstract
This paper conducts a comparative analysis of U.S. and Chinese frameworks for AI literacy and adoption, with focus on agentic AI and Artificial General Intelligence (AGI) systems capable of autonomous reasoning and execution. We examine national policies, educational integration, governance structures, and technological roadmaps, employing both qualitative review and quantitative modeling. Mathematical formulations include multi-dimensional literacy scoring, Bass diffusion models for adoption dynamics, risk assessment functions, regulatory effectiveness indices, competitiveness metrics, and optimization frameworks for resource allocation. Our analysis reveals divergent paradigms: the U.S. Favors decentralized, innovation-driven approaches with emphasis on interoperability and public-private collaboration; while China pursues centralized, state-led strategies with comprehensive content labeling and rapid systemic integration. As both have their strength and weakness, we propose a hybrid governance architecture that synthesizes strengths from both models, supported by algorithmic implementations and sensitivity analyses. We have used recent publications (2021-2025), where we identify trends, challenges, and implication styles. The paper concludes with quantitative and algorithmic recommendations for policymakers, educators, and industry stakeholders navigating the evolving landscape of global AI competition
Program or Discipline Name
Management, Entrepreneurship, and Business Administration
Secondary Program or Discipline Name
Computer and Information Sciences
Recommended Citation
Joshi, S.
(2026). Securing U.S. Leadership in Agentic AI Literacy and Adoption: U.S. vs Chinese Government Policies and Initiatives. International Journal of Innovative Research in Engineering and Management, 1-14.
Publication Title
International Journal of Innovative Research in Engineering and Management
Start Page No.
1
End Page No.
14
ISSN
2350-0557
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
DOI
https://doi.org/10.55524/ijirem.2026.13.1.1
Included in
Management Information Systems Commons, Other Computer Engineering Commons, Risk Analysis Commons, Strategic Management Policy Commons