Even if it has to go through extensive vetting on the theory side, the ability of these models to improve the starting points for the harder process is very strong.
For example, in daylight modeling - and this is 2-3 years ago mind you - it has been found that "AI" is perfect for getting 99% closer to the actual luminance in something like 01% the computation. So that even if you feed those "precalculated" models into the traditional raytracers, the improvement to the first guess is well, well worth it.