GenAI Automotive Podcast

Product discovery doesn’t disappear in AI — it becomes more important.In my experience, teams that skip disciplined discovery pay for it later in failed pilots and stalled products.Curious how others approach discovery in AI-heavy products.

Most failures in data-heavy products aren’t technical.They’re product management failures — especially around data ownership, value framing, and uncertainty.Curious how others have experienced this.

AI value is rarely destroyed intentionally.In my experience, it’s lost through well-intended executive decisions that make delivery and adoption almost impossible.Interested to hear how others have seen this play out.

Most GenAI initiatives never make it past the pilot stage.In my experience, this has very little to do with the technology — and everything to do with product ownership, value framing, and delivery discipline.Curious how others are seeing this play out.

I spoke with Paige Mullen — co-founder of Camion, with 15 years of experience in EV charging and a career that began at Tesla. We traced the evolution of charging from its early days in California to today’s ongoing challenges around interoperability, reliability, and grid integration. Paige shared Camion’s journey from raising €2.7M pre-seed funding to building a SaaS model that sells insights rather than just infrastructure, highlighting the importance of real estate, site selection, and forecasting. We discussed the energy infrastructure challenges ahead, from vehicle-to-grid to renewable alignment, and how AI is beginning to transform everything from site utilisation forecasting to revenue modelling and intelligent grid management. The conversation closed with Paige’s long-term vision of how EV charging, AI, and energy converge to accelerate decarbonisation — along with her advice for startups working at the intersection of mobility and energy.