Since the release of ChatGPT in November 2022, its ability to "emerge" much more than expected has completely ignited the AIGC track.
Domestic and foreign manufacturers have shot one after another, trying to get a piece of the pie in the field of artificial intelligence.
According to VC firm NFX, there are currently about 450 generative AI companies around the world.
• According to the Economic Observer, by the end of 2023, there may be hundreds of "contestants" in China's AIGC battle.
At the same time, different cities in the mainland have also successively issued policies and measures to support the development of the artificial intelligence industry, create a good market environment, help the innovation and development of business entities, and promote the innovative application of artificial intelligence.
• Shenzhen: Promote "Thousands of Industries + AI" to incubate highly intelligent production robots
• Shanghai: Support private enterprises to widely participate in the construction of AI infrastructure such as data and computing power
• Beijing: Promote breakthroughs in domestic artificial intelligence chips
With the continuous introduction and landing of artificial intelligence policies at all levels, it provides a good policy environment for the development of artificial intelligence industry, which is conducive to the development and growth of artificial intelligence industry. Catalyzed by the three forces of the state, enterprises and capital, artificial intelligence has gradually penetrated into thousands of industries, such as finance, manufacturing, transportation, supply chain, medical care, government affairs and other fields. In this context, the industry's demand for talents in the field of artificial intelligence has soared, and more and more AIGC-related positions are constantly derived.
The full name of AIGC is AI-Generated Content (artificial intelligence content generation), which refers to the technology of generating adversarial network GAN and other artificial intelligence technologies based on large-scale pre-trained models, finding patterns through existing data, and generating relevant content through appropriate generalization capabilities. For example, image generation, text generation, video generation, code generation, etc.
AIGC recruitment demand climbed for three consecutive months
There is a clear shortage of technical talents, and the supply exceeds the demand
Lagou recruitment data shows that from January to March 2023, the number of posted positions in the AIGC field has climbed month by month, especially in March, an increase of 42% compared with February, and since OpenAl launched ChatGPT in November 2022, the demand for talent recruitment in the AIGC field has reached a new high.
(Image from Lagou Recruitment Big Data Research Institute)
From the perspective of industry, the recruitment demand in the artificial intelligence industry in the field of AIGC is the strongest. According to Lagou data, in the first quarter of 2023, AIGC job postings in the artificial intelligence industry accounted for the highest proportion, reaching 17%, an increase of 2% compared with the first quarter of 2022.
(Image from Lagou Recruitment Big Data Research Institute)
From the perspective of positions, among the positions involved in the field of AIGC technology, technical talents such as algorithm engineers, CV algorithm engineers (computer vision + images) and NLP algorithm engineers (natural language processing) have a high number of positions posted and strong demand for talents, especially the supply and demand ratio of positions such as algorithm engineers (supply and demand ratio = number of resumes / job vacancies) is relatively low, basically below 10, indicating that the current shortage of technical talents in this field is more obvious and the supply is in short supply.
(Image from Lagou Recruitment Big Data Research Institute)
AIGC is hard to find
The average annual salary is 470,000
Although the market has a huge demand for talents in the field of artificial intelligence, the supply of talents has been unable to meet, so companies have offered high salaries to compete for talents.
According to the analysis of Liepin big data analysis, the salary of AIGC's core positions will increase in 2023, and the average annual salary of algorithm talents will be 472,000.
*Salary is in the 25/50/75th percentile, which means that 25%/50%/75% of salaries in the market are below this value
(Image from Lagou Recruitment Big Data Research Institute)
According to data from the Pulse Talent Think Tank, the starting salary level of technical talents in the field of artificial intelligence is indeed generally high, such as the average starting salary of algorithm engineers in key positions in this field is 32,208 yuan, and the average starting salary of development engineers is 32,000 yuan.
Break the age ceiling in the workplace
Technical talents do not have 35-year-old anxiety
For people who do technology, the "35-year-old crisis" has always been the biggest anxiety in their workplace. However, in the field of artificial intelligence, there is no "35-year-old curse", and those over 35 years old development engineers are still very popular.
The data shows that 24% of AIGC technical talents are over 35 years old, directly breaking the shackles of the "35-year-old threshold" in the workplace. It can be seen that the workplace age ceiling of such talents is higher, and the older ones have become "fragrant food".
Behind the high salary is the high demand
Systematic learning can help improve
From the growing demand for talents in AIGC in China, it can be deeply felt that the boundary between "technical backbone" and "business elite" is gradually blurred, and technical level, business ability, academic background and even personal personality will directly affect the recruitment choice of enterprises. This means that compound senior talents are the core of enterprise recruitment.
Take an AI algorithm engineer on a recruitment website as an example, the salary marked for the position is 15-30K.
In terms of job requirements, you need to be proficient in Python/Java/C/C++ a programming language, and also have a solid foundation in data structures and algorithms, familiar with NLP related algorithms and models, familiar with Linux development environment, etc.
It can be seen that in order to be qualified for this position, you must have solid code capabilities, and secondly, you must have the ability to process and analyze algorithms. In the actual application, it may not be only these requirements. In general, becoming a compound talent is the direction of future job search and employment, and it is also a must.
There is a threshold for technical people who want to join the industry. In the face of new trends, only by continuing to systematically learn relevant knowledge, accumulate more practical experience, and constantly seek breakthroughs can we gain a firm foothold in this industry.