What Do We Do After We Automate All The Knowledge Jobs?
from the gotta-do-something- dept
Last week, when talking about job outsourcing, someone wondered in the comment section if we would reach an age where we had automated enough that "no one needed to work". This is a view that shows up every few years, but never seems to get anywhere, because for every new technology that automates some jobs, plenty of new jobs are created - though, there's always a (very) painful period for those who need to adjust. When we automated plenty of manual labor jobs, many people moved on to service jobs. However, now that we're automating (and outsourcing) many service jobs, people aren't exactly sure what the "next" type of jobs to move onto will be. Here's an interesting discussion of some predictions for jobs in a post-brain-power-automated world. The trick, apparently, is to focus on jobs that require things that make us uniquely human. That is, not jobs that are simply knowledge-based, but which require "aliveness". The article doesn't explain exactly what this means, but this makes sense to me. The way to stay away from being automated out of your job is to have a job that requires things like insight and more detailed pattern matching that can't easily be automated. Anyway, the article goes in a few different directions (not entirely coherently), but I still agree with the premise that for all this automation, people will discover many more new jobs - and they may discover they'll be even better than their old jobs.
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The True Dichotomy
Community college graduates today enjoy relatively secure and well-paying jobs as nurses, lab technicians, journeyman welders, mechanics, etc. All the propaganda posters we see for community colleges of happy middle-class people in high-tech jobs do seem to be true.
Then there are the high-powered jobs for executives, senior scientists, etc., for the crowd that has at least a master's degree.
The people left out of this equation are the 4-year college graduates: they are considered too educated for skilled-labor jobs, but too uneducated for high-powered jobs. Historically, 4-year colleges were supposed to produce middle managers, school teachers, or other administrator types. Nowadays, middle managers/administrators are an endangered species, while school teachers are increasingly expected to have advanced degrees.
Perhaps what we need to see is a shifting of resources away from 4-year colleges toward either advanced vocational training or advanced degrees. We're in a world where nurses with associate degrees are making $80k/yr, while college graduates struggle to get jobs in the $30-$40k range. The educational model of the late 20th century in which everyone was encouraged to become a 4-year college graduate is now an anachronism.
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What Do We Do After We Automate All The Jobs?
A few months later Mrs. Green was gone. I heard that she was replaced because she was a Communist. Naturally, I am not in a position to evaluate Mrs. Green's ideological positions, since, at the time, I had no idea what a Communist was, except that it was a big deal. And you weren't supposed to be one.
I also did not know what "Work" was, nor, exactly, what "Machines" were.
But I began to develop an understanding of McCarthyism.
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No Subject Given
research and development positions that require humans, but if most of their base-level processes are automated, will they create as many jobs as IT once did? Maybe it will -- maybe the money saved due to automation will allow the number of creative jobs to expand in proportion to the total job base. I hadn't considered the possibility, and my earlier comments were very speculative.
However, if you get to the point where people's basic needs can be satisfied at no marginal cost due to automation (perhaps some sophisticated form of nanotechnology that can replicate food like in Star Trek or assemble apartments within the course of an hour), many people won't need to work -- and due to basic human laziness, will choose not to. Granted, that's a long ways off -- In the post you refer to, I was referring more to the far future than the near future.
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Oh great! That only leaves Laywers and Spammers
data64
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