The Congressional Budget Office is only forecasting 1.8% per year productivity growth.
Productivity growth averaged 3.0% annually from 1947 to 1973 which had low unemployment and rapid wage growth.
Tripling the robots in manufacturing would be the USA catching up to South Korea in automation. Robot sales in the United States are continuing to increase between 2017 and 2020 by at least 15% on average per year. At this pace it would take about 10 years for the USA to catch up to current South Korean automation levels.
Replacing the truck, ride-sharing and other drivers with self-driving cars seems like it will be a 10-20 year transition. This will impact ten million jobs in the USA. This shift is something that drivers and society need to find second jobs and other training now. The shift from driving jobs will start happening in a major way.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.
Really kind of depends on what you are calling a robot. For example, a killer app might be neither a robot nor an AI, but what if it eliminates a few jobs, or even an occupation? The potential problem isn’t really about robotics or AI or even automation, it’s about all of these things, and others as well, changing the actual percentage of capital-based earnings versus wage-based earnings when most of the population is solely dependent on wage-based earnings. In this situation, just telling them all to get jobs and work harder might not be enough.
Really kind of depends on what you are calling a robot. For example a killer app might be neither a robot nor an AI but what if it eliminates a few jobs or even an occupation? The potential problem isn’t really about robotics or AI or even automation it’s about all of these things and others as well changing the actual percentage of capital-based earnings versus wage-based earnings when most of the population is solely dependent on wage-based earnings. In this situation just telling them all to get jobs and work harder might not be enough.
Want to make some money? Enter a trade like electrician, plumber or mason. Those wont be replaced any time soon.
Want to make some money? Enter a trade like electrician plumber or mason. Those wont be replaced any time soon.
Want to make some money? Enter a trade like electrician, plumber or mason. Those wont be replaced any time soon.
Really kind of depends on what you are calling a robot. For example, a killer app might be neither a robot nor an AI, but what if it eliminates a few jobs, or even an occupation? The potential problem isn’t really about robotics or AI or even automation, it’s about all of these things, and others as well, changing the actual percentage of capital-based earnings versus wage-based earnings when most of the population is solely dependent on wage-based earnings. In this situation, just telling them all to get jobs and work harder might not be enough.