If innovation ceases, then AI is king - push existing knowledge into your dataset, train, and exploit.

If innovation continues, there's always a gap. It takes time for a new thing to be made public "enough" for it to be ingested and synthesized. Who does this? Who finds the new knowledge?

Who creates the direction and asks the questions? Who determines what to build in the first place? Who synthesizes the daily experience of everyone around them to decide what tool needs to exist to make our lives easier? Maybe I'm grasping at straws here, but the world in which all scientific discovery, synthesis, direction and vision setting, etc, is determined by AI seems really far away when we talk about code generation and symbolic math manipulation.

These tools are self driving cars, and we're drivers of the software fleet. We need to embrace the fact that we might end up watching 10 cars self operate rather than driving one car, or maybe we're just setting destinations, but there simply isn't an absolutist zero sum game here unless all one thinks about is keeping the car on the road.

AND even if there were, repeating doom and feeling helpless is the last thing you want. Maybe it's not good truth that we can all adapt and should try, but it's certainly good policy.