I am exploring how the idle energy stored in parked electric‑vehicle (EV) batteries can be turned into a distributed resource. The original idea was to treat that network like a ride‑hailing platform – an “Uber for EV charging” – and it later evolved into a broader vision of using every bit of unused EV energy to power AI workloads.
- Decision: Create a marketplace that aggregates idle EV energy for external use.
- Use a conceptual analogy to ride‑hailing platforms to design a user‑friendly energy‑exchange marketplace.
- What specific event triggered the “Uber for EV charging” insight?
- How will the system manage geographic variability of idle energy availability?
- What are the projected cost savings or carbon‑emission reductions for AI workloads powered by idle EV energy?
- Which V2G standards and hardware will be supported across EV models?
- What regulatory hurdles exist for aggregating residential EV energy for commercial AI use?
- Integrate vehicle‑to‑grid (V2G) technology for bidirectional power flow from EV batteries to AI data‑centers.
- Build a software layer that matches idle energy supply with AI compute demand, handling pricing, authentication, and real‑time routing.
- Decision: Pivot the business focus to “Utilising all idle energy to power up AI.”