You don’t seem to know anything about the specific challenges of aerodynamic and propulsion design for hypersonics. There are lots of chaotic and turbulent flow conditions that are extremely difficult to observe, predict, and model as you lose assumptions of smooth continuous flow to errant shockwaves in the hypersonic regime, and as the high heat environment introduces plasma dynamics into the tangle of additional factors you have to account for. The ability to incorporate those complex factors into your standard finite element analysis becomes very difficult and esoteric in the face of those conditions. As you add complexity of elements into your analysis you start to hit computational constraints over what you can model, and thus what solutions you can find for a set of conditions, which is why supercomputers have become so essential to advancing hypersonic research. “AI”, specifically neural nets, are actually very promising solution generating tools for getting around these challenges, because neural nets are actually better described as a mathematical method to efficiently map and find solutions in complex mathematical topographies. They offer a much more thorough and efficient search of a solution space than traditional computation solutions do. This will matter significantly for both coming up with better mechanical design, and for defining control laws for both flight and propulsion systems. So depending on what you mean by “design the entire projectile”, the claim itself is not that far out of a leap. It’s not as simple as taking a picture and letting your neural net do all the work, but the specific elements of a solution can be increasingly outsourced to neural nets.