You do know that the rate we're replacing humans with machines far outstrips what we've previously seen, right? As in, this time around it's happening much quicker and is much more widespread compared to the first time around. That people and legislation are already struggling to adapt which will ultimately cause far greater chaos, market disruption and unrest than we've ever seen.
We as technologists know better than anyone how quickly new tech can sweep across the industry. Once the tech/product/process is figured out, scaling it is trivial in comparison. This is the same song and dance but 100x as loud and 100x as fast.
I don't know that actually. Can you please prove it with data?
I studied the industrial revolution quite extensively at school and I follow AI research today, reading individual research papers.
It's not clear that we're going through anything even close to as disruptive as the industrial revolution. In fact I'm sure we're not. Absolute numbers may be higher because the population is so much larger, but as astutely pointed out elsewhere in this thread, civilisation is massively parallel by default so it's proportions that matter.
And when we get to that, we're not seeing massive job displacements caused by automation. If anything we should be asking why not: why is the software industry apparently so unexpectedly bad at reducing employment? This isn't just me waffling by the way. Economists say (caveat emptor) the same thing:
Productivity growth i.e. the rate at which machines replace people, has been falling over the decades. The spike you might expect from massive automation is not only not present, the data shows the opposite - we are getting less bang for our technological buck, it's a long term trend, and economists are worried/puzzled by it. If productivity growth continues trending towards zero, what it means is that our society is getting no automation benefits whatsoever. It means the only way to produce more stuff is to use more people!
We can join economists in speculating as to the reasons, but either the data is flawed, or we're in a time of unprecedented job stability, despite the froth and hype around AI (whose impact is so far extremely limited).
We as technologists know better than anyone how quickly new tech can sweep across the industry. Once the tech/product/process is figured out, scaling it is trivial in comparison. This is the same song and dance but 100x as loud and 100x as fast.