Let me think about this the way I think about any business.
The car as an AI platform has something most people miss: captive attention. When you're driving, your hands are on the wheel, your eyes are on the road, but your mind has bandwidth to spare. That's a rare combination. Radio solved this for music. Podcasts solved it for stories. AI could solve it for everything else — scheduling, learning, decision-making.
But here's what gives me pause. I've seen hundreds of companies chase the 'new platform' narrative. The real test isn't whether the technology works — it's whether people change their behavior. Most drivers today use their car's infotainment system for maybe 10% of what it can do. Adding AI doesn't automatically mean people will use it more.
What would convince me? If I saw data showing that Tesla owners who use the AI features drive more often, take longer routes, or spend more time in their cars. That would signal genuine behavior change, not just a gimmick.
The moat here isn't the AI model — anyone can integrate an LLM. The moat is the integration with the car's systems. If your AI assistant knows your battery level, your destination, your calendar, and your driving habits, that's a context no phone app can match.
But I'd still call it 'promising' rather than 'super app.' Super apps need daily necessity across multiple use cases. Right now, car AI is one use case in a metal box.