Speaker unverified: belief

Transcript context

…To just completely beat the Elon analogy to death, it's like Levels current iteration is the Model S, very expensive. You guys have double-digit millions of revenue on your waitlist sitting there right now. You can use that to make the Model 3 to bring the price down, and then you can use that to launch the robotaxi fleet to vastly expand access. I actually think we're even earlier. We're in the roadster phase. It's expensive, it's hard to get out there, we don't have a huge scale. We know very well that this is the mode wherein. But if we can satisfy the roadster crowd, we can then take that success and the economic foundation that we build through a secure higher-margin business model, and start to work down the market. We need to get to the model 2 stage, model 3 is even too expensive for most people. Looking at the environment or really the landscape of metabolic dysfunction, it essentially focuses on the lowest socio-economic groups. It's the people who have the least ability to access the Levels program who need it the most right now. We're well aware of that. It's going to be a process. In order to get to that mass-market option where you have real-time data informing your decisions every day, we need many things to change. It's got to be hardware innovation, it’s got to be software intelligence, it's got to be a regulatory improvement. Tons of different very complex systems have to adapt for this to happen. Similar to what you've seen Tesla do, the entire market has adapted. I mean, the whole automotive industry is different now. That is all building inertia towards the zero pollution future for electric vehicles. I think that's what Levels hopes to do is trigger this new market, trigger innovation, make people aware that real-time data, biometric data, health data being used in our daily lives is the key to turning around the frustrating complex and failing medical outcomes we're seeing. Just to play devil's advocate here a little bit, Tesla didn't just make really good software that then got shipped to a bunch of GM and Toyota cars. They redid the whole thing from scratch. Sort of a two-headed question here, why isn't Abbott and the device manufacturers building the insights layer and building the consumer platform? Then two, do you think eventually you also need to become a hardware company to really apply best-in-class research and push the consumer experience that you want to create?…

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