Don’t expect to see a human behind the wheel of an 18-wheeler by 2027. Or a set of human hands performing a delicate surgery by 2053.
According to a new study from Oxford and Yale University researchers, those are the years artificial intelligence is slated to take over each of those tasks. And so it will go for millions of other jobs over the next 50 years, researchers find.
First generation robots worked in factories. Second generation robots are preparing for white-collar professions. Thanks to rapid advances in robotics, automation and artificial intelligence, jobs are falling to machines left and right. And it’s not just blue-collar jobs that are being taken over by automation. It’s white-collar professions as well. According to an Oxford study, 47 percent of U.S. jobs could fall to automation in the next 20 years.
The safe, high paying jobs of the past are starting to look much less secure going forward. If you’re currently in one of the following professions, or going to school to get into these fields, you should think twice before continuing.
A new kind of doctor has entered the exam room, but doesn’t have a name. In fact, these doctors don’t even have faces. Artificial intelligence has made its way into hospitals around the world. Those wary of a robot takeover have nothing to fear; the introduction of AI into health care is not necessarily about pitting human minds against machines. AI is in the exam room to expand, sharpen, and at times ease the mind of the physician so that doctors are able to do the same for their patients.
Tomorrow’s Teachers Robots will replace teachers by 2027.
That’s the bold claim that Anthony Seldon , a British education expert. Seldon may be the first to set such a specific deadline for the automation of education, but he’s not the first to note technology’s potential to replace human workers. Whether the “robots” take the form of artificially intelligent (AI) software programs or humanoid machines, research suggests that technology is poised to automate a huge proportion of jobs worldwide, disrupting the global economy and leaving millions unemployed.