-How is the performance of $1M AI researchers measured? Like, at their six month review, what do you look at to tell if your money is being well spent?
-How do you tell if it makes more sense to hire 1 famous AI researcher vs 10 additional junior data scientists? What sort of products are suited to different hiring strategies?
-How much of $1M AI researcher hiring is long-term/speculative (i.e., based on hopes of future products/revenue) vs short-term/measurable (immediately measurable as soon as a code commit hits the product)? Are there examples of products where profit went up by millions after a famous AI researcher was hired?
It sounds like quite a few companies are grappling with these questions today. I'm really curious to know how their thinking is evolving on this topic.