Another survey conducted by Gallup in the United States found that 75% of adults believe that the number of jobs eliminated by artificial intelligence exceeds the number of jobs created by them. Kai-Fu Lee, founder of Sinovation Ventures Ventures, last April In an interview, he said: 'Artificial intelligence is like Superman, and we believe that artificial intelligence will be integrated into every industry and replace 50% of human work.'
However, the data does not fully represent the results. A study published this week by PricewaterhouseCoopers (PwC) suggests that by 2037, the number of jobs created by artificial intelligence that are widely used in the UK is likely to exceed its elimination. The number of jobs. According to the study, the separate health care market will add 1 million jobs (about one-fifth of current jobs), while accounting, law and advertising may increase 500,000 jobs.
PwC's findings are consistent with the Gartner website's survey. The Gartner website predicted in December that artificial intelligence would increase net worth by 500,000 jobs by 2020, and that number will increase to 2 million by 2025. At the same time, McKinsey Global Researchers at the institute concluded that while as many as 73 million jobs are at risk of automation by 2030, new jobs will follow.
But this has not dealt with the concerns of manufacturing, transportation and warehousing practitioners, which have been the hardest hit. As suggested by an economist at the Massachusetts Institute of Technology and Boston University in a March 2017 study. Automation does not only affect the practitioners it directly replaces, but the rebound in economic trauma will also lead to further unemployment.
Fortunately, we may still have a solution. The author of the New York Times bestselling book The Rise of Robots, futurist Martin Ford, proposed a concept of general basic income, the government regularly provides citizens with a fixed income, ignoring their employment. State and wealth. Ford is not the only person to come up with this concept. The advocates of the basic income concept also include Andrew Ng of Stanford University, Sam Altman, Chairman of Y Combinator, SpaceX and CEO of Tesla, Elon Musk And Facebook co-creator Chris Hughton and so on.
In addition, some people, such as Bill Gates and Mark Zuckerberg, suggested that retraining could be a potential solution to the rise of artificial intelligence. Some technology giants are already preparing for this trend. Microsoft Already committed to investing millions of dollars in Skillful, the non-profit organization will train people in IT and healthcare industries. Amazon will pay 90% of the training costs for warehousing staff outside the company.
Others have suggested taxing or penalizing the use of artificial intelligence. In January last year, EU legislators considered charging robot users a tax to train workers who lost their jobs. The EU is not the only one that has this idea. Legislature, San Francisco city manager Jane Kim launched a campaign in September to charge a robotic tax on business owners who choose to use artificial intelligence to replace humans.
What we can now determine is that the transition of artificial intelligence is not easy. In developed countries such as the United States, automation is likely to lead to greater income inequality. A report by the British charity, the Sutton Foundation, predicts that the richer The easier it is for workers to receive education, the increased importance of soft skills such as communication, and the reduction in transitional work and internships have the potential to establish a gap between the rich and the poor.
But executives such as Mimi Spier, vice chairman of VMware's IoT, are optimistic. Spier wrote in an email to VentureBeat: 'We always think that people's fear of artificial intelligence is a bit exaggerated, people Coexistence with machinery is a real opportunity, not a threat to the current workforce. There is a growing skill gap between traditional work and machine-assisted work, but it also adds to our new training and new experts. The demand, in the end, the labor we know will shift to a form of labor that is not as productive as possible, until our new skills, productivity and contributions are perfectly connected to the machine.