One-quarter of U.S. jobs are under the threat of being automated, especially the repetitive and boring ones, a recent study by the Brookings Institute, a nonprofit public policy organization based in Washington, DC, which conducts in-depth research that will lead to new ideas for solving problems facing society at the local, national and global level, has found.
The researchers found one-quarter of jobs in the U.S. are at “high-risk” of automation, since 70 percent or more of their tasks could be done by machines. Another 36 percent of jobs are at “medium-risk” as a machine could do between 30 and 70 percent of their tasks. Some 40 percent of jobs are at “low-risk”, with less than 30 percent of their tasks able to be performed by a robot.
With the constant innovation and major strides being made in technology, a large part of the U.S. and the world workforce will have retrain for new jobs that will arise — some of these new professions might seem odd. Cognizant, an American multinational corporation that provides IT services, including digital, technology, consulting, and operations services, predicts the jobs that will come about from the ones lost after automation takes over in a November 2017 and October 2018 report.
The reports are written as hypothetical job adverts and some do require quite a bit of imagination, while others are not far from our current reality. Below are the 42 jobs that they expect will arise in the near future.
Currently we leave vast amounts of data online and in the near future companies will need data detectives to go through it all and generate answers to business questions and make recommendations based on their findings. This will be done through investigating the data generated by the “Internet of Things end points, devices, sensors, biometric monitors, traditional computing infrastructure, next-gen fog, mesh, edge, neural capabilities.” The position isn’t hard to imagine as many businesses already spend time and money going through people’s data so that they can sell them products.