Leveraging AI and advanced technologies to build resilient domestic supply chains amid tariff changes and geo-political uncertainties: A prioritized framework

Gabriel, Victor Samuel (2025) Leveraging AI and advanced technologies to build resilient domestic supply chains amid tariff changes and geo-political uncertainties: A prioritized framework. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 3098-3105. ISSN 2582-8266

Global supply chain vulnerabilities, exposed by crises such as the COVID-19 pandemic and geopolitical disruptions, necessitate a re-evaluation of domestic manufacturing strategies. This article proposes a tiered framework to rebuild U.S. supply chains by prioritizing critical sectors—medical/emergency services, food security, essential goods, and consumer luxuries—using artificial intelligence (AI), machine learning (ML), and advanced technologies. The article analyzes the impact of tariffs, outlines sector-specific AI/ML solutions, and provides actionable recommendations for policymakers and industry stakeholders to achieve supply chain resilience while balancing economic and ethical considerations. Through case studies including pandemic response optimization and vertical farming applications, the framework demonstrates how targeted technological implementation can transform vulnerability into resilience across priority sectors.