I think the biggest change, functionally, between past automation and today's going forward is the actual ability of the system to "know" what it is doing and c

I think the biggest change, functionally, between past automation and today's going forward is the actual ability of the system to "know" what it is doing and correct/adjust accordingly. We're moving past "dumb" automation essentially, and from a historical (technology) perspective it's every bit as fascinating as we'd hoped it to be, and then some. I mean, real-time voiced-over translation on Skype? Eventually even mimicing the other person's voice? Yes please! All thanks to this shallow form of AI that Nick Bostrom coined as "artificial narrow intelligence" (as opposed to "general" intelligence, i.e. human-like; and "superior" beyond ours). It's becoming possible for businesses of all kinds and all trades, thanks to the drastic cost reduction of deep learning since we moved these tasks to GPUs (and these bad boys keep improving at +25% performance per generation roughly every 18 month). And what AI does, sometimes is order of magnitude better than what any human individual/team could do (think Spotify's recommendations, anything with "big data" and "subjectivity" in it). Which leads to the same conclusion as your last sentence.