Nowadays, artificial intelligence has entered the technical dividend period, and the unbalanced supply and demand of talents has become the biggest obstacle to the development of his bond. AI talents are frequently anxious, and many Internet companies have begun to engage in AI talent competition. The turbulent wave, some people do not want to ask AI talents to support thousands of annual salary, how many are bubbles?
Recently, news about Chinese and American Internet companies competing for AI talents has been frequently screened. Google’s high-profile return to China and the establishment of the AI ​​China Center, Li Feifei, the AI ​​goddess who came to the town, did not hide the ambition to seize Chinese AI talents; while Chinese companies put their tentacles at the door of Google’s home, according to foreign media reports, from Shanghai, China. The startup company TouchPal has issued a million-year salary and came to Silicon Valley to recruit AI engineers.
The high salary of AI talents can be said to constantly refresh our imagination. Some college graduates can get 50w from the annual salary, and the average annual salary of American artificial intelligence practitioners is 73w. Now, whether it is a recruitment website or a headhunter, they are staring at these AI talents. The annual salary of TouchPal may not reach the limit.
Recalling the three major outlets of investment in 2016: live broadcast, VR/AR, artificial intelligence, now the bubble of the former two is gradually dissipated, and the wave of artificial intelligence is still surging. I can't help but ask: How much bubble is there in this industry after two years of rapid development? How many are the bubbles that support the AI ​​talents?
I. Unbalanced talent supply and demandNo matter how imaginary the value of AI talent is beyond imagination, the price is always determined by the market supply and demand, and the lack of people is the core issue facing the Pan-AI company. The Global AI Talent Report released by LinkedIn shows that the distribution of talents in the field of artificial intelligence is extremely uneven. As of the first quarter of 2017, the number of technical talents in the global AI field exceeded 1.9 million, of which the total number of relevant talents in the United States exceeded 850,000. The total number of talents also exceeds 50,000. According to the “2017 Global Artificial Intelligence Talent White Paper†issued by Tencent Research Institute, the gap of artificial intelligence talents in China is at least 1 million.
Under this circumstance, both the AI ​​project leader with many years of experience and the graduates of the relevant professional graduates are in a serious shortage. The number of experts at the expert level is less than 1,000 in the world. It is also reasonable to make a million annual salary.
But is the threshold of AI really so high? actually not. Most deep learning software frameworks (such as TensorFlow, Torch, Theano, CNTK) are open source, and Wu Enda also opened AI courses in Coursera and NetEase cloud classes. Friends of the science and engineering background want to change completely, this is also the fastest way to get a premium, but to remind everyone that this is also the bubble of the AI ​​industry.
In order to obtain a premium, the AI ​​industry has also seen a large influx of practitioners, and talents in various fields are turning to this direction, but these people are often at the bottom of the AI ​​talent pyramid, although they can fill the shortage of junior talents, but not the most Core talents that are urgently needed. However, many companies, especially start-up companies, have taken a lot of speculation in order to gain first-mover advantage and circle talents. They will not identify talents and raise market prices, but they may die in a short period of time.
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