In 2017, the five majors most popular with international students are: Industrial Engineering Engineer (21.4%), Business/Management Business & Management (18.6%), Math/Computer Science Math/Computer Science (15.5%), and other high-tech fields. STEM (11.5%), Social Science (7.7%).
However, the latest “White Paper on American Employment for 2018 Chinese Students” asserts that computer science, electronic engineering, mechanical engineering, data and finance will not exist in today’s way, and will certainly be affected by intelligent robots. As for the high-paying “code farmers”, they will not “live” for 10 years, and may even be replaced by higher-level languages, design methods and artificial intelligence within 5 years.
The “2018 Chinese Student Employment White Paper” is so “risk-sounding” that the purpose is to remind Chinese students who plan to study in the United States: If you want to stay in the United States, professional choice is crucial. Only in accordance with the development of the times can we be in an invincible position in the future employment competition.
“The White Paper on American Employment in 2018 Chinese Students” pointed out that at the end of the 18th century, the first industrial revolution achieved the “steam age” by creating a machine factory; in the 19th century, the second industrial revolution achieved large-scale production of electricity by electricity. The era; in the 20th century, the third industrial revolution achieved the “automation era” of production through electronic and information technology; today, the “smart age” of the fourth industrial revolution is ushered in.
The main feature of the fourth industrial revolution was the integration of technologies to gradually eliminate the boundaries between the physical world, the digital world and the biological world, and it is subverting the development of almost all industries in all countries. The White Paper quotes Gartner’s technology maturity curve and predicts the industrial revolution led by smart technology innovation and gives a time prediction.
Gartner is said to be the world’s leading technical advisory body. For more than two decades, according to the life cycle theory of technology development, Gartner uses the technology maturity curve to analyze and predict the development rhythm of future new technologies, and also helps people to judge the future development trend of posts.
Gartner’s 2017 Technology Maturity Curve summarizes the technology trends in the next three to ten years: AI Everywhere, Transparently Immersive Experiences, and Digital Platforms (Digital Platforms) ).
Therefore, it can be reasonably predicted that the fields in the table will become hot industries in the next 5-10 years. At the same time, it can bring a lot of new jobs that do not exist today.
As the author of the “2018 Chinese Student White Paper on American Employment”, Dr. Ma Liwei, founder of vine education, believes that in the “smart age” of the fourth industrial revolution, any industry will be more or less affected by AI. Although doctors and lawyers are occupations that interact with people at a high level, they will also be affected. Today, the machine has been able to read radiographic images with unparalleled precision and speed, which can replace the heavy diagnosis of many doctors. However, the machine is inherently deficient. If there is no precedent for storing illnesses in the database, the machine still cannot judge the disease, and eventually a doctor with high medical skills needs to make a diagnosis. Lawyers too, machines can replace the search and judgment of a large number of lawyers, but if you encounter a case that the machine has not learned, you still need an innovative lawyer to solve.
The accountant and auditor industry will also face the same fate. A lot of repetitive work will be replaced by machines. Today, a large number of jobs disappeared after ten years. Future jobs are those who have the ability to be creative and problem-solving. They will co-exist with intelligent robots and solve the problems that humans could not solve before through human-machine interaction.
Then, in the future, “what jobs are artificial intelligence can not be replaced?” The White Paper specifically analyzes and predicts:
At the beginning of 2017, the Japanese Softbank Company invented the emotional communication robot. Its birth has begun to challenge many positions that were previously considered irreplaceable. This new type of emotional robot can understand people’s problems, analyze human semantics from the combination and tone of language, and give corresponding comfortable and free answers. Therefore, today’s basic level of communication can be replaced by robots, but the high-level emotions and wisdom that human beings are given are hard to be replaced by machines. It can be said that artificial intelligence pays more attention to solving the problem of efficiency, intensity and professionalism of work, and the goal is to solve the labor problem at the basic level of human beings.
I believe that the future job requirements will pay more attention to problem-solving, innovation and management capabilities between people and people. Therefore, the following positions are difficult to replace:
In the revolution of the AI era, industries and positions that require thinking, innovation, emotions, and management are difficult to replace, but most of these positions are between machines and people.
The White Paper specifically mentions that at first glance, students who graduated from traditional disciplines are shrinking their employment under the impact of new technological innovations, but as each post disappears, more new jobs will be created. Therefore, international students need to constantly learn, constantly change, and master new skills.
(Source: Sohu blog)
Songzi Li/ Editing Manager
Translation by Philip Park