Do you have any idea how many people are employed to produce this technology? You are falling for the seen vs. unseen fallacy of cursory economics.
Strictly considering total employment misses the point. For example, if increased productivity means a two-income household is able to become a one-income household, total employment may drop without adversely affecting the economy.
Past advances in technology have eliminated specific types of jobs without creating net unemployment. Buggy whip manufacturers, typewriter repairmen, farriers, switchboard operators, photograph developers, etc. are not in high demand. Again, if labor is no longer required for industry X, it means that labor is available to expand industry Y where labor was previously in short supply and increases were uneconomical.
RE: Uber's Self Driving Cars and Amazon's Drones. What Happens in an Economy That Doesn't Want Labor?
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Uber's Self Driving Cars and Amazon's Drones. What Happens in an Economy That Doesn't Want Labor?
The number of people employed to build drones is less than the number of taxi drivers, truck drivers and delivery personnel. One problem here is that either of us are showing the actual numbers but its very easy to see how self driving trucks will quite literally destroy the jobs in the trucking industry.
Since neural network artificial intelligence is behind this new technology its very easy to see scenarios where many house holds will have zero people employed. There is little reason to make someone do something a machine can do instead.
Since neural network artificial intelligence is behind this new technology its not possible for you to use past examples simply because the technology has not existed up until this point in time. This topic revolves almost entirely around deep learning algorithms and pattern recognition which is at the heart of technology that allows a computer to use a digital camera to recognize objects in real life and learn how to do new things.
Pay close attention to what is powering these devices. Self driving cars are using deep learning neural networks.
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Just one gram plz
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Oh fuck
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If its too hard for you to understand then when it replaces your job you wont be playing a part expanding labor in industry Y.
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