Big data, cloud technology, artificial intelligence... The wave of new generation technology has spawned new business models and user needs. How artificial intelligence and human intelligence influence each other in promoting business development has always been a hot issue.
Seeking change is inseparable from every specific human resource support. In recent years, driven by the radiation of artificial intelligence, the demand for related posts has exploded, but the supply and cultivation of talents has not been refined. Recently, Zhilian Recruitment and the authoritative organizations such as Peking University released the "2017 Artificial Intelligence Employment Market Supply and Demand and Development Research Report" to depict the supply and demand map of talents in the era of artificial intelligence.
What is the most sought after for artificial intelligence?As a branch of computer science, the goal of artificial intelligence is to build mathematical models of human intelligence and produce a new kind of intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, speech recognition, and image recognition. And expert systems, etc.
Due to the high threshold of artificial intelligence technology, the "technical big cow" with academic knowledge and practical experience is the target of enterprise competition. Based on the reproducibility and substitutability of such talents, enterprises are usually in a passive state when chasing talents, and even a situation in which high salaries are difficult to obtain.
In the past year, the demand for artificial intelligence talents has increased nearly twice: With the continuous breakthrough of artificial intelligence, more and more entrepreneurial companies have joined the field and have spawned a large number of talents. According to the big data from Zhaolian, the demand for artificial intelligence in the third quarter of this year has increased by 179% compared with the first quarter of last year.
Among them, algorithm engineers have the fastest growth rate: the algorithm is the basis for the transformation of big data to artificial intelligence. The current demand for algorithm engineers in the human resources market mainly focuses on data mining, natural language processing, machine learning, computer vision and so on. From the perspective of Zhilian big data, the demand growth rate of algorithm engineers exceeded the average growth rate of artificial intelligence for three consecutive quarters.
At the same time, stylized, repetitive post-declining trends are beginning to emerge: it is undeniable that artificial intelligence is gradually replacing human jobs, especially those skilled in stylized, repetitive, and repetitive operations. Investment banking, proofreading/entry two typical positions showed a significant year-on-year negative growth for three consecutive quarters.
In addition, companies pay more attention to skills: in the popular skills label keywords, "data analysis" appears the most frequently, accounting for 39%; the second is data mining, accounting for 19%; image processing accounted for 14%, Ranked third; machine learning accounted for 11%, ranking fourth.
As colleges and universities in the field of artificial intelligence still have the potential to form effective talent output in the future, the artificial intelligence stock talents mainly come from the enterprise's own training, and the Internet and telecommunications-related industries have become an important source of artificial intelligence talent transformation. In terms of remuneration, the artificial intelligence compensation interval at this stage is mainly concentrated at 10001 yuan to 15,000 yuan/month, accounting for 40%. Looking at the salary budget given by the company, the recruitment gap of 1500-1 yuan to 25,000 yuan/month and 25001 yuan to 35,000 yuan/month is larger.
Is "past bowl" a false proposition?With the advent of the fourth industrial revolution characterized by the development of big data and artificial intelligence, people and machine cooperation will become the norm in the workplace. People once fell into the fear of artificial intelligence “grabbing a bowlâ€, and many research institutions have shown that artificial intelligence will create more job opportunities.
Gartner, a well-known consulting firm, pointed out that before 2019, artificial intelligence would cause more unemployment than the jobs it created; but by 2020, artificial intelligence would "kill" 1.8 million jobs while manufacturing 230. Ten thousand new job opportunities.
China's "New Generation Artificial Intelligence Development Plan" pointed out that by 2025, the core scale of artificial intelligence will exceed 400 billion yuan, driving the scale of related industries to exceed 5 trillion yuan. By 2030, the core size of artificial intelligence will exceed 1 trillion yuan, driving the scale of related industries to exceed 10 trillion yuan.
Among the explosive growth of artificial intelligence talent demand, software engineers ranked first in the absolute number of demand, followed by IT technical support / maintenance engineers. Among them, algorithm engineers are not allowed to become one of the most sought-after positions in the future. Companies with artificial intelligence concepts are hungry for the needs of algorithmic engineers and have become the main driver of this round of algorithmic engineers. Artificial intelligence has also led to the growth of other related positions in the work chain, and database development engineers are showing a growing trend.
After artificial intelligence realizes more and more supply in stylized positions, emotional and creative positions show steady growth and higher requirements. Psychologists, advertising copywriting and other positions are required to release human imagination and creativity to a greater extent.
Guo Sheng, CEO of Zhilian Recruitment, said that artificial intelligence in the stagnation period will inevitably lead to a demand bubble. When the industry returns to rationality, it can clearly see the real needs of talents, and the market must prepare for more targeted personnel training.
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