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Hunting and Joining GMIC to Release AI Talent Report: AI Pays Steady Over Internet

via:博客园     time:2018/4/9 14:31:29     readed:1056

April 9, 2018 —— 2017 is a year of AI (artificial intelligence). After a full year of development, what is the development of the talent market in the AI ​​field? In response to this problem, the domestic high-end talent career development platform for recruitment and joint GMIC Beijing 2018 Conference recently released the "AI Talent Competitiveness Report" (hereinafter referred to as "Report"). The report found that software engineers and algorithm engineers are the most demanding functions in the AI ​​field; the salary of AI employees continues to exceed the Internet industry significantly.

The Graduate Employment Research Institute randomly selected sample of 5.5 million managers from the recruitment platform covering 31 provinces, municipalities and autonomous regions across the country; the major data research period in the report is mainly based on the three quarters of the second half of 2017. It can be traced back to the third quarter of 2016.

The report also found that the AI ​​core functions have significantly higher requirements for academic qualifications; AI talents are mainly distributed in three first-tier cities: Beijing, Shanghai, and Shenzhen; in the industry, the distribution of AI talents is mainly internet, but it also gradually penetrates into other industries. .

In the recent recruitment survey of more than 13,000 people, 85.90% of the participants indicated that they are willing to enter the AI ​​company; most of the participants have a positive attitude toward AI, and 78.90% are optimistic about the development of AI. Progress in science and technology will make human life better. Only 3.20% of people are pessimistic and fear that AI will replace human beings.

The GMIC Beijing 2018 Conference will be held on April 26-28 at the Beijing National Convention Center. As a gift for the tenth anniversary, this year's GMIC Conference will fully embrace AI and set up a two-day AI main forum to discuss the trend of artificial intelligence technology and tap into its industrialization and commercial value of the scene. Presently confirmed guests include AI-Guru Geoffrey Hinton, Yann Lecun, Michael I. Jordan, founder and CEO of Innovation Factory Kaifai Li, Xiaopeng Automobile Chairman He Xiaopeng, President Glory Zhao Ming, and Craig Venter, the father of the Human Genome Project. Turing Award winner Shafi Goldwasser et al. In addition, this year's GMIC Conference will also hold nearly 30 industry summits and brand special events, as well as an exhibition of high-tech and products with an area of ​​22,000 square meters.

GMIC organizer and founder of the Great Wall Club Wen Chu said that in the past ten years, well-known mobile internet companies in China have visited GMIC. I hope that in the next decade, all outstanding AI companies and high-potential talents will gather at GMIC to jointly promote the industry. growing up. This is also an important reason for the depth of cooperation between GMIC and recruitment. According to reports, in addition to the AI ​​talent report, the two parties will also jointly open AI recruitment channels online and offline to connect AI companies and talents.

Highest competition in automatic driving, followed by voice recognition

This report finds that in the third quarter of 2017, machine learning has the highest level of competition and competition in the AI's six core areas of “autopilot, computer vision, speech recognition, natural language processing, machine learning, and knowledge reasoning.” The index is 8.28; followed by autopilot, the competition heat index is 8.24.


(Source: Hunting Big Data Research Institute)

In the fourth quarter of the same year, the index of competition for autopilot was the highest, at 8.47; followed by speech recognition, and the index of competition was 8.40. Overall, in the two quarters of the second half of 2017, the automatic driving competition heat index performed well. Autopilot was hotly promoted with hot events in the industry. On July 5th, 2017, Baidu founder and CEO Li Yanhong took a self-driving car to participate in the Baidu AI Developer Conference, arousing the attention of the mass media and netizens, autopilot once Caused widespread concern. As the representative of China’s new vehicle builders, the first G4 car production model G3 will start accepting bookings in the near future, and will deliver it publicly by the end of 2018. It is worth mentioning that the G3 is an auto-driving solution specifically targeting Asia, and it was widely publicized as soon as it was released early this year.

The average annual salary of AI surpasses the Internet and scarcity is the value

The development of AI is largely due to the vigorous development of the Internet industry in recent years, and it is inextricably linked with the development of the Internet. Therefore, here we compare the salary of AI practitioners with the Internet industry.

From the third quarter of 2016 to the fourth quarter of 2017, the average annual salary of employees in the AI ​​sector is significantly higher than the average annual salary of the Internet industry. In the third and fourth quarters of 2017, the AI ​​average annual salary and the Internet annual salary all reached the peak: The AI ​​average annual salary peaked in the third quarter of 2017, reaching 329,500 yuan, an increase of 10.79% year-on-year; the average annual Internet salary peak reached in the fourth quarter of 2017 The peak value was 281,600 yuan, an increase of 11.26% year-on-year. The average annual salary of AI is RMB 479,900 higher than the average annual salary of the Internet.


(Source: Hunting Big Data Research Institute)

The rapid rise of AI in recent years has brought together cutting-edge technologies and talents. In this respect, talents are still relatively scarce. Therefore, companies are also willing to spend a lot of money to attract talents.

Software and Algorithm Engineers Lead AI Core Functions, Mechanical Engineers Top Ten

In the third and fourth quarters of 2017, among the top ten AI core functional distributions (the proportion of core functional requirements), software engineers and algorithm engineers accounted for the highest percentage, ranking first and second. The difference in the proportions of the two functions in the third and fourth quarters was not significant. The proportion of software engineers in the third quarter was slightly higher than that in the fourth quarter. The proportion of the algorithm engineers was slightly higher in the fourth quarter than in the third quarter.


(Source: Hunting Big Data Research Institute)

The rapid development of artificial intelligence in recent years has benefited from the vigorous development of "Internet +", which has formed a huge amount of data, which in turn has promoted the rapid development of algorithms. Therefore, software engineers and algorithm engineers have the highest share of core functions.

The share of other core functions is relatively low, ranging from 1.22% to 3.87%. It is worth noting that the function with obvious Internet attributes is ranked third in the AI ​​core functions of product managers. It can be seen that the AI ​​field places emphasis on the transformation of products into products. Mechanical engineers also rank among the top ten, although tenth, but it is enough to prove that AI and machinery manufacturing have had more intersections and deeper integration, conforming to the “Intelligent Manufacturing” trend advocated by the state in recent years.

AI's core functions increasingly favor highly educated, and doctoral talent demand has the highest growth year-on-year

AI's high-tech attributes determine it has a low academic threshold. From the third quarter of 2016 to the sixth quarter of 2017, the AI's demand for core functions was reflected in different academic qualifications: the demand for undergraduate education as a whole showed a declining trend, but the decline was not obvious. The fourth quarter of 2017 Job demand accounted for 77.42%, a decrease of 4.92% year-on-year.


(Source: Hunting Big Data Research Institute)

At the same time, the demand for doctoral and master's degrees in positions in the AI ​​field has been increasing year by year. The demand for master's and doctoral degrees in the fourth quarter of 2017 was 20.78% and 1.80%, respectively, which represented an increase of 17.14% and 116.87% respectively. In the third quarter of 2017, the demand for doctoral qualifications in the AI ​​field reached the peak of the six quarters, which was 2.92%.

AI incorporates the cutting-edge research results of many high-tech elements and many disciplines. As it further develops and deepens, highly educated people will become more and more popular in this field.

In the survey of hunters recruiting tens of thousands of people recently, people described the three adjectives most frequently mentioned by AI as “precision” “precise” and “swift”, and the proportion of people who chose these three words was 72.30%. 63.20% and 46.00%. These three words also represent people's perception of AI on the other hand.

AI talents occupy half of the Internet and gradually penetrate into other industries

From the third quarter of 2016 to the fourth quarter of 2017, AI talents are distributed in different degrees across the industry, among which the Internet industry has the largest number of distributions, with more than 60% in each quarter; followed by the electronic communications, machinery manufacturing and financial industries.


(Source: Hunting Big Data Research Institute)

In these six quarters, the distribution of AI talents in the Internet industry as a whole has dropped significantly, with the fourth quarter having rebounded from the third quarter. In the electronic communications, machinery manufacturing and financial industries, the distribution of AI talents has generally increased.


(Source: Hunting Big Data Research Institute)

This shows that AI talent is not limited to the Internet industry, but penetrates into other industries under the premise that the Internet industry is dominant. This is closely related to the country's layout for the development of the AI ​​industry.

In 2017, the Party’s Nineteenth Congress pointed out that “accelerating the building of manufacturing powers, accelerating the development of advanced manufacturing, and promoting the deep integration of the Internet, big data, artificial intelligence, and the real economy” will build “wisdom society” with Build "high-tech countries, quality countries, aerospace powerhouses, strong networks, strong traffic, digital China". It can be seen that AI plays an important role in the development of the country in the future.

At the 2018 National Conference on Science and Technology held in early January of this year, Minister of Science and Technology Wan Gang pointed out when introducing the key scientific and technological work in 2018 that the breakthroughs in artificial intelligence technology and application demonstrations were strengthened to promote the depth of the Internet, big data, artificial intelligence and the real economy. Integrate and nurture new economic forms such as shared economy, digital economy and smart economy.

According to Wan Gang’s report, artificial intelligence, big data, and cloud computing lead the support of the digital economy, platform economy, and shared economy. According to Xinhuanet, the digital economy reached 22.6 trillion yuan in 2016, accounting for more than 30% of GDP. The number of online retail transactions and electronic information product manufacturing ranks first in the world.

This shows that in the next few years, the integration of AI and various industries will be more in-depth, and AI talent will be more distributed to non-Internet industries, creating more value for society.

AI talent gathered in Beijing, Shanghai and Shenzhen, and second-tier cities also sparked a fire.

In the third and fourth quarters of 2017, the top 10 cities and their rankings of AI talent distribution are the same, and the same city has a small difference in proportions in different quarters. In these two quarters, Beijing, Shanghai, and Shenzhen accounted for the top three AI talents, bringing together over 60% of AI talent across the country, and Beijing alone accounted for almost one-third of AI talent across the country. These cities are all important cities for the Internet and high-tech start-up companies, providing good development grounds for AI.


(Source: Hunting Big Data Research Institute)

It is worth noting that the Hangzhou AI talent ranks in the two quarters comparable to the first-tier city of Guangzhou, ranking first in the second-tier cities. This is closely related to Hangzhou's good Internet development environment and the AI ​​industry base.

In these two quarters, Xi'an AI's talent supply accounted for 11th place, 0.88% in the third quarter and 0.94% in the fourth quarter. It is the only city in the northwest that ranks among the top 20 AI talents. In recent years, Xi'an has intensified the introduction of talents. In particular, the city has continuously upgraded its new policy on talent since 2017. At the same time, it has lowered the threshold for entry. It has vigorously introduced various types of leading talents, including technological innovation talents, and created policy advantages for the development of AI talents. .

AI talents are most widely distributed in private companies, far more than other companies

In the distribution of AI talents, the proportion of private companies is the most, and in the second half of 2017, they exceeded 70%. Followed by foreign companies, accounting for more than 10%, while the proportion of other types of enterprises and institutions do not exceed 10%.


(Source: Hunting Big Data Research Institute)

In the fourth quarter of 2017, the distribution of private AI talent was 73.72%, which was 2.75% higher than the third quarter of the same year. Private companies have been very active in China in recent years, and a large number of high-tech companies with strong strength have been born. Companies such as Ali, Baidu, and Today’s headlines have a strong appeal for those who are committed to technological development.

In the recent survey of over 10,000 people recruited and recruited, 85.90% of the participants indicated that they are interested in working in AI companies. Among them, 46.90% of them are due to the fact that AI conforms to the trend of the times and represents the frontier areas of the times. 37.90% of the people are because of “strong curiosity about new things”, and only 9.10% of the participants are interested in high-tech attractive salary; those who are interested in their professional counterparts Only 6.10%.

Seventy-eight percent of the participants were optimistic about the development of AI. They believe that technological advancement will make human life better. Only 3.20% of people expressed pessimism and fear that AI will replace human beings.

Participants have different opinions on the impact of AI on workplace people. 47.30% of participants believe that AI has a positive impact on the work of the workplace. Only 0.70% of people think that there is a negative effect; 45.70 people think that both have a positive effect. Among them, 29.60% of participants believe that the greatest positive impact of AI is to increase work efficiency and experience. This group accounts for the largest proportion; 26.40 people believe that the greatest positive effect of AI is to make people's work more creative and valuable. Among the people with opposite attitudes, 30.60% think that the biggest negative effect is people’s over-dependence on machines; 29.20% think that the biggest negative effect is “Let some people lose their professional advantages”.

Senior consultants in the hiring industry believe that the development of AI is unstoppable. No matter what kind of attitudes people have about AI, they should not resist understanding and learning about new areas. Only by grasping the latest trends in the development of the industry can they find more appropriate positioning for themselves. more

A good development trajectory.

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