As technology becomes more dominant in the workplace, here are the three job skills that you need to thrive.
As the Pepper robot from Softbank scurries about your home or office, it reads your emotions by your words, tone of voice, facial expressions, and body language. It then responds in all those ways; its hands and posture in particular are remarkably expressive. If you thought emotions were beyond the competencies of robots, you were right for a long time. But no more.
Maybe you believe that humans uniquely will always have to perform the highest-stakes, most delicate and demanding tasks in our lives, such as surgery. But researchers at the University of California at Berkeley are training a robot to identify and cut away cancerous tissue—not like today’s surgical robots, which are actually tools used by human surgeons, but entirely on its own.
Or perhaps you figure technology, for all its wonders, is just nibbling away at the edges of human employment. There aren’t that many surgeons, after all. But in May, Daimler began testing the first self-driving semitruck on the roads of Nevada. The No. 1 job among American men, held by 2.9 million of them, is truck driver. Not that women are safe. Technology will continue to devour clerical and office tasks, and the No. 1 job among U.S. women, held for now by 3 million of them, is administrative assistant.
The greatest anxiety troubling workers today is embodied in a simple question: How will we humans add value? Popular culture is obsessed by it. Humans, a new series on the AMC network, spins a story from the promise and perils of eerily humanoid robots called synths. That seems to be Hollywood’s 2015 theme of the year. Think of Ex Machina (humanoid robot outsmarts people, kills a man, enters society as a person) or Terminator Genisys (Arnold Schwarzenegger’s humanoid robot must again save the world) or Avengers: Age of Ultron (humanoid robot tries to eradicate humanity) or Chappie (bad guys try to destroy humanoid robot police officer who is reprogrammed to think and feel). The big idea is always the same: For good or ill, machines become just like people—only better. Read the rest of this entry »