The World Economic Forum revealed that more than half of the world's jobs will be taken over by robots by 2025. At least that means that 75 million jobs are threatened with disappearance in fields such as data entry, accounting and customer service, although data from the World Economic Forum said This automation will create new jobs rather than eliminate job opportunities.
Recorded in 2020, jobs such as data input and data processing will reduce many working hours because the work will be taken over by the robot / machine. But automation has replaced people in the "most humane" task of "making decisions." The WEF report estimates that at that time, automation would handle about 28 percent of the work hours spent on decision making, up from around 19 percent today.
This is a good thing in many ways. In terms of employment, for example, trade-offs are not too close: the WEF expects 133 million new jobs by 2022, more than enough to offset losses of around 58 million jobs, give or receive. When you take on the most tedious boring tasks from the hands of an employee, they often find things that are more interesting and productive to do with their time.
But there is also no guarantee that the best scenario will play out. Indeed, there are likely to be four main constraints that must be overcome if automation will contribute to our prosperity without also encouraging unemployment, job displacement, and increasing inequality.
work automation
Automation is projected to create more jobs than those removed, but there are catches.
One problem that we need to understand now is to make workers, employers and the government work better together. None of them are specifically aligned in the short term, but minimize and we are all pretty much with the same boat. Big car makers will benefit, for example, if they all kick a sum of money to help train people in the work skills needed by large car makers. But of course, no one wants to be the first to go forward with all the dishes about what types of skills are best.
Governments also need to be prepared for change, for example by investing more in developing job training centers, stronger safety nets, and maybe even something the WEF calls "individual training accounts" to make it easier to pay for classes.
As for the type of work done by these retrained people? This will truly be a mixture of very technical work and also a hard work on soft skills, which clearly has a complicated mastery time. Data analysis and machine learning are the top two areas as far as expected growth, WEF report notes, but the third is management operations. Many future workers, too, might end up working in sales.
Most of these jobs and tasks will be taken over by stationary or water-born / aquatic robots working in industries such as manufacturing and oil and gas. But a surprising number of these robots - 23 percent - will become humanoid robots, most of them working in industries such as financial services. The robot has helped you make financial decisions, in a short time they will shake your hand and help you sign the dashed line as well.
