The Automotive Leaders Podcast · Jan Griffiths

AI Is About to Change Everything… But Not the Way You Think

·41 min·2 clips

AI will not succeed unless automotive fixes culture, trust, and approval layers first.

Jan Griffiths opens by framing AI as a technology shift that feels different from earlier waves in automotive. Dr. Brian Rima builds on that and argues the industry needs to reinvent itself around the consumer. He says mobility still has to work at a price point people can afford, and that AI has a real role to play in making that possible. He also argues that AI should support the human operator rather than keep chasing the long-running dream of fully automated driving. That matters because machines and people are strong in different ways: machines handle the black-and-white pieces well, while humans still make instinctive choices from incomplete information. The conversation keeps returning to the idea that the industry has been looking at AI through the wrong lens. Instead of treating autonomy as the main prize, Rima says the bigger opportunity is improving the experience inside the vehicle. He links that to driver attention, which he sees as a better frame than the usual distraction language. The example he gives is ordinary on purpose: a parent trying to get off a busy highway while kids are calling at the wrong moment. In that moment, AI could step in with a reminder and a brief delay rather than forcing a binary choice. That kind of support is the larger theme of the episode. The goal is not to remove the human from the loop. It is to make the human better equipped, better timed, and less overloaded. The discussion also reaches back to the industry's history of chasing inefficient capital spending and solutions that do not always answer real consumer needs. Rima pushes for better product characteristics and clearer value for the people buying the car. Jan keeps the conversation moving by asking practical questions that turn strategy into behavior. The result is a leadership conversation rather than a technical demo. It stays focused on how organizations decide what problems AI should solve. It also keeps circling back to how technology fits the way people actually behave. By the end, the episode lands on a simple position: automotive companies that use AI to strengthen human capability will be better positioned than companies that keep chasing hype. That argument is tied to culture, incentives, and execution, not just software. It is a measured case for using AI to make vehicles more useful, not just more impressive. The close brings the idea back to business fundamentals and the need to preserve core values while becoming more technology-infused.

As heard by us

A grounded case for AI that supports drivers instead of chasing autonomy.

AI is treated here as a practical check on what automotive companies should actually deliver: helping people move, work, and stay in control. Dr.

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If you want AI explained through the driver's seat, start here.

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