AI in Automotive Podcast · Jayesh Jagasia

AI in Automotive - #501 - Teddy Flatau, Founder & CEO - Wevo Energy

·24 min

The episode begins with a season reset and a wide-angle look at where automotive is headed. Jayesh Jagasya points to the rapid convergence between the automotive and energy industries. He describes a world where energy utilities start acting more like EV lease companies and automotive OEMs start acting more like energy companies. That shift opens up opportunities for energy companies, automotive OEMs, fleet owners, operators, and others across the mobility and power ecosystems. AI is positioned as a key enabler of that convergence. The conversation then narrows to the practical friction around EV adoption. Range anxiety and charger anxiety are treated as real barriers to mainstream use. The host frames one of the biggest behavior changes as a change in refueling habits. Drivers of internal combustion vehicles refuel when they have to. EV drivers need to recharge when they can. That means charging at home, at work, at the gym, at a shopping center, at the restaurant, and at other destinations where people dwell. Teddy explains how Wevo approaches that problem. The company works with any charger. It builds an optimal schedule for both the building and the driver. Wevo learns driver habits, expected departure times, and the amount of energy each driver needs. It then decides who should charge first, who should charge second, and when charging should be shared. The system can even split available capacity so multiple cars charge at half power without overloading the site. The discussion also brings in building hierarchy and electrical constraints. In an underground parking garage with three floors, power availability can differ by floor. Electricity prices matter too. On a time-of-use tariff, power can become much cheaper overnight. When a site has solar production, Wevo prefers to use that locally generated energy first. The result is presented as a win-win-win. Drivers get cheap electricity and a charged car in the morning. Landlords avoid expensive infrastructure upgrades and connection work. DNOs avoid unnecessary local grid investment and new power-station buildout. The conversation gives that benefit a wider macroeconomic frame. The host cites large annual grid upgrade budgets in the UK and the US. The point is not that the grid does not need investment. It is that smarter charging can reduce pressure on that investment. The episode argues that many buildings already have enough latent capacity to support far more charging than they currently do. Wevo's approach can let a site serve many more vehicles without rebuilding the power connection. The closing turns toward the overlooked opportunity. Instead of focusing only on fast charging, the episode makes the case for cheap, reliable AC chargers at multi-family homes, commercial complexes, retail parks, hotels, and any destination with more than an hour of dwell time. The key is making those chargers smart about when and how they charge, while staying friendly to the pocket and the grid. That is presented as a route to ubiquity rather than a niche technical fix. The episode ends by tying that practical infrastructure story back to the broader convergence of AI, automotive, and energy.

As heard by us

A practical look at how smarter charging could make EV ownership feel routine.

The episode frames EV charging as a practical systems problem: how to make it ordinary, affordable, and mostly invisible. Its discussion with Teddy stays centered on Wevo Energy's approach, from learning driver habits and departure times to balancing load across a building,…

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Why you'd press play

You want EV charging framed as a building, grid, and driver problem.

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