In molecular modeling, at some point you're limited either by quantity or quality of input data (for example known protein structures), by the accuracy of your

In molecular modeling, at some point you're limited either by quantity or quality of input data (for example known protein structures), by the accuracy of your energy function, or by the inability to simulate at long timescales. AI alone won't magically solve the problem without fixing the others too. (AI combined with quantum computing, maybe?) I am much more excited about the application of AI to more complex problems like metabolic engineering/synthetic biology, literature mining, and genome-wide association studies. It's a shame the training data are such an incomplete mess, but that'll improve slowly.