A study finds nearly half of jobs are vulnerable to automation

A wave of automatic uneasiness hit the west side. Please enter "Will machines ..." on Google. Algorithms can achieve sentences with varying degrees of anxiety: "... will you accept my work?"; "... will you accept all work?"; "... Do you replace humans? "" ... ... to conquer the world? "

Grasping the working robot is no longer a SF novel. What did Oxford's Carl Benedikt Frey and Michael Osborne use in 2013? Machine learning algorithm to evaluate the degree of automation of 702 tasks in the United States. They concluded that the machine for the next 10 or 2 years was completed by 47%.

The new working paper by the Organization for Economic Cooperation and Development (the club of most wealthy countries) focuses on other developed countries and uses a similar approach. According to the 2015 skill survey, this technology differs from Mr. Frey and Osborne's study in that it evaluates the degree of automation of each task in a particular job. Overall, this survey defines that 14% of the work in 32 countries is very vulnerable and has at least 70% automation opportunities. The other 32% is somewhat less dangerous and the probability is between 50% and 70%. Based on the current employment rate, the survey brought 210 million jobs in 32 countries.

Pain will not be shared equally. According to the survey, the country was found to be very different. In Slovakia, twice the population of Norway is working. Generally, workers in rich countries are at a lower risk than workers in middle-income countries. But even among the countries with similar wealth, there is a big gap.

The difference in organizational structure and industry configuration is affecting, but the former is more important. For example, in Korea, 30% of employment is in manufacturing and 22% in Canada. Nonetheless, on average, Korean work is harder to automate than Canada's work. This may be because Korean employers have found better ways to do both daily work and social and creative work at the same job in the same job without lowering productivity Hmm. Staying: Because most Korean companies need to automate machines easily while being considered to be more difficult to automate Korean work, a more pessimistic interpretation is that "survivor bias "about it

McKinsey global laboratory research researchers including more than 2,000 people after the execution of 800 different jobs can be automated to nearly half of the working hours of the United States and work to conclude activities. According to this study, 45% of all event staff are automated by existing technology. Some of them surpass humans. However, neo-liberal economic policy led to contradiction between labor-saving technologies and labor itself - as technology, reduce the demand for workers making workers against the advancement of technology, and do work easily and quickly. Frankly, economic interests of owners of enterprises, resources and industrial machinery are to automate work as much as possible and dismiss everyone for benefit.

This assumption is changing rapidly. A discreet estimate of the McKinsey Global Institute shows that by 2055 nearly half of the world's work is replaced by automation. Very important progress can speed up this pace, and it is a wild card for the future of automation. Artificial Intelligence Artificial intelligence is changing the technology field at an unprecedented speed. With a wide range of applications and widespread impact. We know the economic impact of the automation of the type of garden during the industrial revolution, but there is no manual on what artificial intelligence brings to us. Accelerate the pace of AI by providing the robot with access to the Internet and its enormous databases. As robots can learn and make decisions, even the ability to automate creative processes is imminent. This left us a very important question.