You may solve the robots replace the 20 million jobs in manufacturing in all over the world by the year 2030, according to a report issued by Oxford Economics (Oxford Economics), a global forecasting and quantitative analysis.
Continues to the robots to control the performance of human functions, and this may be good for the economy, but there are some negative aspects were also serious.
This means that approximately 8.5 percent of the workforce in the global factory can be replaced by robots.
The report also indicates that the transition to robots tends to create new jobs faster, but it may help in income inequality.
According to the model of Oxford Economics, the all new robot installed to replace average replace the 1.6 factor of the industry, nor is automation a new trend in manufacturing, the automotive industry use 43 percent of the robots in the world in 2016.
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Robots are becoming cheaper than many of the human factors, partly due to the lower costs of machines, the average price of Android increased by 11 percent between 2011 and 2016.
The robots perform more operations don’tfrequent development, in addition to demand for manufactured goods on the rise, and China is a huge opportunity for growth in automation, with five industrial robots in the world.
The report said that Beijing is investing in robots to make itself a world leader in the field of industry, it is possible – by the year 2030 – that works approximately 14 million robot in China, which dwarfs the numbers for the rest of the world.
Estimates by Oxford Economics suggest that increased install robots by the year 2030 would result in the same year to increase by 5.3 percent in the global GDP, or 4.9 trillion, which is larger than the size expected GDP growth in Germany that year.
And the Android device for productivity and economic growth, in addition to stimulating industries which do not yet exist, but Oxford Economics also cautions that it would lead to a serious disorder, as the potential downside of the revolution of Android is to increase income inequality.
The research shows the negative effects of the robot, which disproportionately affect low-income areas compared to areas high income in the same country.
Can be workers who do knowledge and innovation in the field of manufacturing to concentrate in the large cities, and is difficult to automate those skills, while urban and better with automation growing.
Is likely to lead to increased use of automation to create new jobs at a pace similar to jobs that will be lost, however, the poorer areas, which is expected to lose the most jobs, will not benefit most likely to find new jobs because there is a gap in skills.
This leads to increased income inequality between cities and rural areas, and policy makers think about how to increase efficiency in the face of the impact on income inequality.