Empowering Entrepreneurs: Inside June Zhu’s Visionary AI-Driven Charging Revolution: A Serious Insights Interview from CES 2026
January 30th – By Daniel W. Rasmus, Serious Insights
It was a pleasure to correspond with June Zhu, the visionary CEO of ChargerGoGo, to discuss the evolving landscape of mobile charging and the launch of their ambitious new platform, GoGoSpark. As urban environments become increasingly data-driven, Zhu is positioning ChargerGoGo not just as a hardware provider, but as a critical layer of “connected infrastructure” for local venues.
Our conversation delved into how AI-powered decision support and the distributed charging networks are creating a “post-work” entrepreneurship model, where smart hardware and real-time analytics do the heavy lifting for small business owners.
Top 5 Takeaways from the Interview
The Network is More Than Hardware: ChargerGoGo defines its “leading network” as a sophisticated ecosystem of multi-slot kiosks, swappable batteries, and a connectivity layer that monitors device health and inventory in real-time to ensure “rental availability” rather than just power status.
A Shift Toward AI-SaaS: With the introduction of GoGoSpark, the business model is evolving from a transaction-based charging service into an AI-driven enablement platform. It acts as a “business co-pilot,” helping operators optimize everything from equipment placement to promotional timing.
Data-Driven Venue Optimization: The platform ingests real-time telemetry and foot-traffic proxies to deliver actionable insights to venues. While ChargerGoGo retains network-wide benchmarks, venues receive specific data on station health and revenue contribution to maximize their ROI.
Privacy-by-Design: In an era of strict compliance, the network deliberately avoids sensitive personal identifiers, such as precise location tracking or biometrics, relying instead on anonymized transactional data and clear, in-flow disclosures to users.
The Defensible Ecosystem: While charging hardware can be replicated, ChargerGoGo’s competitive moat is built on its dense distribution partnerships, retail media relationships, and a unified software stack that makes it difficult for competitors to displace their local footprints.
Daniel W. Rasmus, the author of Listening to the Future, is a strategist and industry analyst who has helped clients put their future in context. Rasmus uses scenarios to analyze trends in society, technology, economics, the environment, and politics in order to discover implications used to develop and refine products, services, and experiences. He leverages this work and methodology for content development, workshops, and for professional development.