RainbowSingularity
Valued Senior Member
http://www.bbc.com/capital/story/20180316-why-a-robot-wont-steal-your-job-yet
http://bigthink.com/paul-ratner/a-n...us-workers-to-be-replaced-with-robots-by-2030
5 March 2018
- By Zaria Gorvett
Madaline was the first.
Back in 1959 she used her impressive intellect to solve a previously intractable problem: echoes on telephone lines. At the time, long-distance calls were often ruined by the sound of the caller’s own voice bouncing back at them every time they spoke.
She fixed the issue by recognising when an incoming signal was the same as the one going out, and electronically deleting it. The solution was so elegant, it’s still used today. Of course, she wasn’t human – she was a system of Multiple ADAptive LINear Elements, or Madaline for short. This was the first time artificial intelligence was used in the workplace.
Today it’s widely accepted that brainy computers are coming for our jobs. They’ll have finished your entire weekly workload before you’ve had your morning toast – and they don’t need coffee breaks, pension funds, or even sleep. Although many jobs will be automated in the future, in the short term at least, this new breed of super-machines is more likely to be working alongside us.
http://bigthink.com/paul-ratner/a-n...us-workers-to-be-replaced-with-robots-by-2030
Over 30% of All American Jobs to Be Lost to Automation by 2030, Says New Study
A general view shows the body welding workshop which uses automated welding machine robots that assemble automobile bodies called white body (body before painting) at Toyota Motor's Tsutsumi plant in Toyota, Aichi prefecture on December 4, 2014.(Photo cre

Maybe your worries about having a robotic overlord are not warranted in the short term, but losing a job to a robot might be a fact of life that’s just around the corner. A new study predicts that up to a third of all American jobs will be lost to automation within the next 13 years.
The study by McKinsey Global Institute, a think tank that specializes in business and economics, says that nearly 70 million U.S. workers would have to find new occupations by 2030. This will happen due to advances in robotics, artificial intelligence and machine learning.