The artificial intelligence industry is the focus of industry attention in recent years. Building a strong country of artificial intelligence is our common aspiration. The rapid development of artificial intelligence cannot be separated from the support of national policies, but now talent shortage has become the biggest obstacle in the development of the industry.
Which type of enterprise will fall first in the tide of competition in the artificial intelligence industry? The reporter learned that the artificial intelligence industry is ultimately a knowledge-intensive industry, which is the most intense field for top talents. If you want to truly have a place in this industry, you must pay a lot of human resources costs more than other industries. The fierce competition for talents has also made many companies “short-livedâ€.
Engineers who can lead the team and develop the team have an annual salary of one million. Young engineers who have just graduated for three years can get an annual salary of about 500,000 as long as they have "specialization" - a senior headhunting company official told reporters that this is this The current market situation. Although most of the artificial intelligence companies' products have no market return, they are heavily invested in talent investment.
Mr. Zhou, the head of a well-known artificial intelligence enterprise department, said that “artificial intelligence†is a general concept. They are divided into different positions such as deep learning, natural language processing, image recognition, and recommendation algorithms. And companies that really do artificial intelligence need their own core technology, so it is not just engineers and programmers, but scientists. A complex project with artificial intelligence may involve a combination of multiple technologies. For example, to realize the function of the robot test mathematics, it is necessary to cooperate with various positions such as image recognition, natural language processing and recommendation algorithms. Each link must be completed by at least one scientist with a salary of 500,000 yuan. Of course, one person is definitely not enough. And this circle is very small, and the limited top talents are concentrated in several colleges and universities. If the company does not immediately step up its talents, these talents may flow into other companies in the future. Therefore, many artificial intelligence enterprises that have closed down first are all defeated in the "burning money" looting battle because they do not have strong financial strength.
Take Natural Language Processing (NLP) as an example. Most of the positions require job seekers to have master's or doctoral degrees in related fields. At present, universities with strong natural language processing laboratories in China are only available to Beiyou, National Defense Science and Technology University, Peking University, Tsinghua University, and Chinese Academy of Sciences. A few key universities such as Xiamen University, Harbin Institute of Technology, Fudan University, Huazhong Science and Technology and Suzhou University. For example, the Natural Language Processing Research Group of the Institute of Computing Technology of the Chinese Academy of Sciences has 4 graduate students in 2014 and 2 doctoral graduates. All of them have been accepted by giant companies such as Samsung and Huawei. In addition to the above key research labs, NLP graduates from other schools must go to Microsoft Asia Research Institute, Baidu, and University of Science and Technology to fly gold and other large companies to believe in their strength - this will lock the talent output source In a very small range.
Even if you pay heavily, talents will not necessarily stay. The person in charge of this well-known artificial intelligence company also found that many companies that use artificial intelligence signs are still doing simple program processing. Taking the artificial intelligence medical industry that the company is currently advancing as an example, he found that many companies claim to have made artificial intelligence-assisted diagnosis and treatment systems, but after research, they are basically based on the knowledge base of expert decision-making systems. Data plus advanced search engines, and the real artificial intelligence auxiliary system requires the ability of the machine to have human brain thinking, such as recognition, reasoning, and deduction.
"There are a lot of such companies. They usually hire a few scientists to do some basic work, but they have neither strength nor the need to form an artificial intelligence team. Such basic work is not groundbreaking. Real talent can't do it. How long will it leave?" said Mr. Zhou.
There is another situation in which talents leave. Many artificial intelligence companies suffer from a lack of good business models. Most domestic funds have a life cycle of more than five years, but in fact, if a company does not find a reasonable business model within three years. There is also no bulk growth, so it is difficult to continue the normal next round of financing. Therefore, in order to further finance and obtain the funds needed for the project to survive, it is necessary to find a good statement for “reduction of employeesâ€. The team has broken out of a new company and has become a trend in the field of artificial intelligence.
“There are investors in anyway.†An entrepreneur who just led his team to leave the original company told reporters that his team’s academic qualifications, age, and role structure are very good. Although the previous project failed, it did not prevent them from Set up a portal or go to the new owner. “The artificial intelligence industry has high thresholds and deep water. It is normal to have foam, but who can guarantee that there will be no miracles.â€
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