Dashboard is just an example. The gist is how much of know-how that we use in our work can be replaced by AI transforming other people's existing work. I think it hinges on how many new problems or new business demands will show up. If we just work on small variations of existing business, then quickly our know-hows will converge (e.g. building a dashboard or a vanilla version of linear regression model), and AI will spew out such code for many of us.