Well, the difference is the data-driven aspect of parts of the model. While its constrained by physics during the learning process it isn't just running a forward physics model to get the solution. The upfront computational load and extremely fast inference times through parameterization IS what makes it AI, and what makes it useful versus a normal numerical computer model.