The speaker says the focus has shifted from whether AI systems can be trained to finding data, identifying economically valuable uses, and deciding how much to invest for an improvement.

“But that means that you move from a question of can you train these things to where can you get the data and what is economically valuable and it's just an economics decision of how much money do I put into X to get some kind of improvement out of it.”