The Industrial Revolution led to the creation of new jobs that were still low skill jobs. Because they were low skill jobs, people displaced from other jobs would be able to take the new jobs. The fact that the new jobs were low skill jobs was good luck; it's not a general characteristic of jobs that are created by technological advance, and there's no reason to expect that other changes should also create jobs that are sufficiently low-skill that the displaced workers can take them.
The Industrial Revolution led to the creation of new jobs that were still low skill jobs.
Um, I don't think that's true. I am not sure what do you mean by "low skill", though. To clarify, let me make my statement stronger: up till now technological progress did not lead to massive unemployment. Do you think that new jobs created during, say, the last 30 years are "still low skill jobs"?
I don't know a single example of technological progress starting from early metallurgy (bronze, etc.) which led to massive unemployment. Do you really think it's all just good luck?
I haven't given much thought to the concept of automation and computer induced unemployment. Others at the FHI have been looking into it in more details - see Carl Frey's "The Future of Employment", which did estimates for 70 chosen professions as to their degree of automatability, and extended the results of this using O∗NET, an online service developed for the US Department of Labor, which gave the key features of an occupation as a standardised and measurable set of variables.
The reasons that I haven't been looking at it too much is that AI-unemployment has considerably less impact that AI-superintelligence, and thus is a less important use of time. However, if automation does cause mass unemployment, then advocating for AI safety will happen in a very different context to currently. Much will depend on how that mass unemployment problem is dealt with, what lessons are learnt, and the views of whoever is the most powerful in society. Just off the top of my head, I could think of four scenarios on whether risk goes up or down, depending on whether the unemployment problem was satisfactorily "solved" or not:
with AI problems, people and
organisations are willing and
able to address the big issues.
misery that unrestricted AI
research can cause, and very
wary of future disruptions. Those
at the top want to hang on to
their gains, and they are the one
with the most control over AIs
and automation research.
automation problems in a
particular way (eg taxation),
people underestimate the risk
and expect the same
solutions to work.
conflict between those benefiting
from automation and those
losing out, and superintelligence
is seen through the same prism.
Those who profited from
automation are the most
powerful, and decide to push
ahead.
But of course the situation is far more complicated, with many different possible permutations, and no guarantee that the same approach will be used across the planet. And let the division into four boxes not fool us into thinking that any is of comparable probability to the others - more research is (really) needed.