As a former chemist, what's old is new again!

It's basically high through put screening plus an AI engine to map out the "variable space".

Back in 1990 when robotics became more reliable we did the same thing. The only difference is a trained chemist would determine what variables would be altered.

It's not that hard to do, it doesn't take that much brain power, just an understanding of what variables may impact the yield. Claiming AI can now do this isn't all that impressive.