The bottleneck is, and has been, the whole team evolving the product. Having a clear, actionable, vision and being good at biting off the right next step and adjusting for the step after that is always the issue. Before AI teams took the wrong step size in the wrong direction or were so wrapped up in process that they couldn't take a step or so distracted by 'things' that they never even took steps. After AI the same is still true. Our process sucks in this industry. We love to make process because we love to make machines but the processes we love to make rarely help us and that is a fundamental problem that AI isn't changing.
> the processes we love to make rarely help us
I'm going to make a potentially bold claim here. This depends _heavily_ on what the threshold of "rarely" is, and whether we actually _love_ to make these processes.
In the case of people before process, as stated in the Agile Manifesto, the process is begat _from_ the people in many cases. That doesn't mean it shouldn't be questioned, but when the chimney sweeps that built the process are saying "I don't want to go back to things that are similar to the way that gave me mesothelioma", I don't think it's fair to write them off as the minority.