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Article
Affiliation(s)

Ageno School of Business, Golden Gate University, San Francisco 94105, California, USA

ABSTRACT

This article presents a comprehensive framework for advancing sustainable transportation through the integration of next-generation energy technologies. It explores the convergence of Vernova green energy, nuclear fission from ARCs (advanced reactor concepts) and SMRs (small modular reactors), and future-focused nuclear fusion methods—MCF (magnetic confinement fusion) and ICF (inertial confinement fusion). Central to this integration is the use of AI (artificial intelligence) to enhance smart grid efficiency, enable real-time optimization, and ensure resilient energy delivery. The synergy between these zero-carbon energy sources and AI-driven infrastructure promises a transformative impact on electric mobility, hydrogen-powered systems, and autonomous transport. By detailing the architecture of an AI-augmented, carbon-neutral transport ecosystem, this paper contributes to the roadmap for future global mobility.

KEYWORDS

Sustainable transportation, zero-carbon energy, Vernovagreen energy, ARCs, SMRs, MCF, ICF, AI, smart grids,energy-efficient mobility.

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