@leigh my bet is that ML will get miniaturized / optimized and their feedback loop will start to become near-instant, and after that we'll have dozens of little ML programs all over the place, but they'll mostly be in toolkits or invisibly doing stuff.
In other words it'll change a LOT but the ML programs won't be the feature, and eventually the net result will be kind of like computer animation: sold as a way to reduce workforce, but actually increases it a lot.
Part of me feels like we're gonna look back on this AI stuff like the "pivot to video" and web3 bubbles/fads of the past decade. But I also feel sure that some of it is going to be fundamentally transformative once various chips fall where they will - authenticity/provenance questions, copyright litigation, trust issues, etc etc etc
The challenge is gonna be telling the bubble nonsense from the fundamental stuff.