Michael Meheryar Dastoor
Analyst
Sure. So let me provide more of a general view on physical AI and where Jabil comes in more so than individual program wins. First of all, I think the physical AI is in its very early commercialization stage. There's very little real world deployment, again, depends on what your definition of physical AI is, but costs continue to remain high, complexity is very high. One good thing about Jabil is we participate at a very early stage. And if I can -- there's almost a meeting of the hardware that we make with the experience that we're gaining. And what do I mean by that? If you look at the devices and machines that require AI in the real world, if you think of retail warehouse robots, autonomous vehicles, drones, industrial automation systems, robotics and humanoids, all -- these are all areas that Jabil already plays in from a hardware standpoint. But if you think of all the capabilities that you need to enable to make these, what we term as, physical AI, it's sensors and vision systems. We're talking about onboard sort of compute and control hardware, connectivity, power systems, liquid cooling, turbo solutions, motion actuation related sort of subsystems, complex electromechanical assemblies. Again, all these areas where Jabil has experience, and we've been doing this, and we've been doing this for the last few years. And I do think today, physical AI is, like I said, in very early commercialization stage. I think it will start getting more and more material over the years as we progress in the evolution of that space, I think the main constraint today is the high cost and complexity and that will come down over time, for sure. And I can't think of anyone better positioned than as Jabil to play in this space.