By 2030, about 800million people working around the world will lose their jobs to robots or automation- technology analysts have warned.
For Alibaba executive chairman Ma Yun also known as Jack Ma says that governments around the world need to prepare for the takeover by robots. He warns that education systems need to be adjusted to suit this emerging trend.
“By only changing education can our children compete with machines,” Jack says, adding, “education is a big challenge today because if we do not change the way we teach, 30 years from now we will be in trouble”.
This philanthropist warns that the things currently being taught to children worldwide are from the past 200 years. These things are knowledge based.
“We cannot teach our children to compete with machines, they are smarter. Teachers must stop teaching knowledge and we have to teach something unique especially Soft skills that machines can never catch-up with humans”
According to Jack Ma, the current generation of children should be taught; values, believing, independent thinking, teamwork, care for others. “These are the soft parts which knowledge may not teach you”.
Teaching children domains like Art, music, sports, painting emphasizes the fact that they are different from machines. If the machines can do better, then people have to think about it.
The study of 46 countries and 800 occupations by the McKinsey Global Institute found that up to one-fifth of the global work force will be affected.
It said one-third of the workforce in richer nations like Germany and the US may need to retrain for other jobs.
Machine operators and food workers will be hit hardest, the report says.
Poorer countries that have less money to invest in automation will not be affected as much, according to McKinsey.
The authors see tasks carried out by mortgage brokers, paralegals, accountants, and some back-office staff as especially vulnerable to automation.
Jobs requiring human interaction such as doctors, lawyers, teachers and bartenders are seen by McKinsey as less prone to automation.
Specialised lower-wage jobs, such as gardening, plumbing and care work, will also be less affected by automation, the study predicted.
In developed countries, the need for a university education will grow, as jobs that require less education shrink.