In May 2022, Open AI launched the AI drawing product DALL-E 2 model, setting off the trend of AI painting. In August, Stable Diffusion, the world's fastest open-source model for drawing in 1 second, sparked discussions again. With ChatGPT detonating the Internet, AIGC will become the "traffic password" in the domestic public opinion field in February 2023.

Figure Changes in the heat index of AIGC-related content in the past year (heat index)

(2) Definition of AIGC: broad sense and narrow sense

AIGC's full name is AI-Generated Content (Artificial Intelligence Content Generation), which refers to artificial intelligence technologies such as generating confrontation network GAN based on large-scale pre-training models, finding rules through existing data, and generating relevant content through appropriate generalization capabilities Technology.

AIGC in a narrow sense: image generation (Dall-E, Midjourney), text generation (ChatGPT), video generation, etc.
AIGC in a broad sense: including strategy generation (game AI), code generation (GitHub Copilot).

Example 1: ChatGPT question and answer, AIGC in a narrow sense (generated content)

Example 2: Copilot code auto-completion (blue part), which is a generalized AIGC (generating creative ability)

(3) AIGC application map

Empower media, film and television, advertising, games, e-commerce, education, medical care, transportation, finance and other industries

2. AIGC Recruitment Requirements

(1) Supply and demand situation

1. Job supply and demand hit a new high (Liepin)

The recruitment of AIGC-related talents has been relatively stable for a long time. With the release of ChatGPT, the track has been completely ignited, and the demand for AIGC talents on the enterprise side has reached a new high .

2. The recruitment demand in the AIGC field is strong, and the number of AIGC talent recruitment will hit a record high in 2023 (MaiMai)

In the past two years, the number of jobs in the AIGC field has exploded. In January 2021, DALL·E, a text-generating image tool developed by Open AI, was released, triggering a surge in demand for domestic AI talent recruitment.

From January to February 2021, the number of jobs in the AIGC field increased by 281.88% year-on-year.

From January to February 2022, the number of jobs in the AIGC field will increase by 76.74% year-on-year.

Subsequently, Dall-E 2 and Stable Diffusion models were launched one after another, especially when ChatGPT was born in January 2023. The demand for AIGC talents rose against the trend again, and the number of jobs increased by 31.3% year-on-year, hitting a record high.

(2) Job requirements

1. There is more demand for product positions (hunting)

Among the newly issued positions, over 50% of the newly issued positions are product positions , 25% are algorithm positions, and 20% are data talents.

2. The demand for algorithmic talents is booming, and there are many deliveries from product managers: the AIGC talent supply and demand structure is unbalanced (MaiMai)

On the demand side, the most popular positions in the AIGC field are technical positions, and there is a strong demand for R&D talents such as algorithm engineers, natural language processing, and image recognition.

On the supply side, most of the hot-invested positions in the AIGC field are non-technical positions such as AI product managers and operations, and there is a certain imbalance between supply and demand.

(3) Capability requirements

1. AIGC talent portrait: professional skills, academic achievements, business landing triathlon (Maimai)

Interdisciplinary talents are urgently needed in the field of AIGC. In the JD of related positions, in addition to professional requirements, words such as NLP algorithm, deep learning, and C++ appear frequently. Algorithm and programming skills are mandatory requirements for employment.

In addition, most positions also mention words such as "top conference paper" and "commercialization", requiring applicants to have academic achievements and business experience.

Innovative thinking is very important. AIGC technology is developing very rapidly, and the company needs to have the ability to continuously explore and try new technologies and methods in order to maintain its leading position in technology.

2. Enterprises have significantly higher requirements for AIGC's business capabilities, and they prefer compound candidates (Liepin)

(4) Industry distribution

1. AIGC industry impact: Technological changes change the demand for talents in traditional industries

Among the industries currently deeply affected by AIGC, there is the IT industry, which is far ahead in artificial intelligence investment, and there are also traditional industries such as consumer goods, which invest less in artificial intelligence, but will undergo greater industry changes due to the impact of AIGC technology. In these industries, the positive influence of AIGC on its marketing, content production, product research and development links continues to deepen. In 2023, the demand for AIGC talents in these industries will continue to rise.

Among the industries moderately affected by AIGC, there are many companies that value technological innovation such as automobiles, finance, and high-end manufacturing. Most of their artificial intelligence investment is concentrated in areas such as autonomous driving and technological finance. These industries currently have more artificial intelligence talents, and AIGC technology is currently used for internal use within the organization. While these industries are actively exploring the feasible business logic of AIGC in this industry, they also maintain a high degree of attention to the recruitment of relevant talents. Although the number of positions released is small, they have the characteristics of high salaries and high requirements for English proficiency.

2. The IT industry accounts for more than 50% of the total, and talent hunting in multiple industries is active

More than half of AIGC talents work in the IT/ Internet / game industry , and the stock of AIGC talents in electronics and finance is increasing year by year.
In the past year, the state has focused on supporting the development of high-tech, specialized and special new small giants and other high-end manufacturing enterprises, attracting a large number of algorithm talents to engage in the digital transformation of enterprises and China's intelligent manufacturing. Electronic companies attract more such talents to engage in chip design, R&D and other work. The financial industry has attracted a large number of talents to work in technological finance and green finance.

3. IT/Internet/Games: Excellent reserves of technical talents, but it is still difficult to recruit model talents

The IT/Internet/game industry is undoubtedly the cornerstone of AIGC - it runs through the entire stage of AIGC technology model, data and products. According to the historical recruitment trend of the industry and the recruitment trend analysis in the first quarter of 2023, AIGC positions in the IT/Internet/game industry will increase by 15.7% year-on-year this year. Therefore, such enterprises have a relatively good foundation of artificial intelligence talents and a high degree of adaptability to AIGC. The recruitment responsibilities and functions of AIGC are relatively clear. If a killer application is born during the cycle, the demand for AIGC talents will far exceed expectations. .
For large organizations and unicorn companies, the supply of senior deep learning engineers is still short of demand in the short term. The data shows that although the demand of enterprises continues to increase, the active delivery is less. Such people have low willingness to actively seek jobs, and companies may adjust the allocation of recruitment resources and combine multiple recruitment methods to achieve better results.

4. AIGC talents are not exclusive to the AI industry, and the Internet talent reserve is leading

The talents in the AIGC field are distributed in multiple new economic industries, among which the AIGC talent reserve in the pure Internet industry is the largest . The number of AIGC talents in the artificial intelligence industry is only 6.45%, and other AIGC talents are mostly distributed in data-intensive industries.

5. AIGC has the largest talent stock and the strongest incremental demand in the Internet industry

The Internet industry has the largest number of AIGC job postings, accounting for 1/3 of the total number of newly posted jobs, about three times that of the artificial intelligence industry, and more than the sum of the new financial technology and game industries.

6. Advertising/Media: The demand for text and image generation application-oriented talents has increased significantly

The US version of the headline BUZZFEED uses ChatGPT to write articles, and behind the 3-fold increase in market value in 2 days, it is not the unreasonable carnival and blind follow-up investment of capital; the current large-scale layoffs of mainstream media such as Roku, Gannett, and CNN in the United States all show that The industry is currently being hit by unprecedented change. Although the media is not a traditional "high-tech" type of enterprise, it benefits from the "emergence" ability embodied by ChatGPT, which makes the entire industry instantly have unlimited imagination. Whether it is political news that requires strict wording or breaking news that emphasizes real-time and authenticity, AIGC is a turning point for the advertising/media industry.
The demand for employment in the media industry is a typical case of "AIGC technology + employee industry experience": whether it is text or pictures, it requires talents who have been in the industry for many years to review and re-create the generated works. In the past 5 months , AIGC application positions have become the key talents recruited by the new generation of streaming media companies, followed by traditional media companies, and are expected to achieve a year-on-year growth of 41.6% in 2023.

7. Consumer goods: The demand for talents in video generation and speech generation applications is on the rise

The virtual human technology brought by AIGC is relatively mature. At present, many domestic e-commerce platforms have been put into use and achieved good results. The virtual human technology has further reduced the marketing cost of consumer goods, and at the same time improved the user experience to a certain extent. AIGC technology has blossomed in more and more places in the trillion-dollar track of consumer goods.
For the home appliance track, AIGC-enabled intelligent voice is its focus area. Relying on the blessing of a new generation of technology, smart home can realize the transformation from "useful" to "easy to use".
According to the analysis of consumer goods AIGC jobs, with the recovery of consumption in 2023, resident consumption is gradually heating up, and the trend of AIGC talent recruitment in the consumer goods industry is growing rapidly. High-end technical talents in the direction of video generation are the current difficulty in recruiting. The salary is slightly lower than other industries, and the salary package can be appropriately increased to attract more talents to actively deliver.

(5) Salary distribution

1. The salary of AIGC positions will increase in 2023, and the average salary of the algorithm category is the highest

According to the big data analysis of Liepin, the salary of AIGC core positions will increase in 2023, and the average salary of algorithm talents is the highest, followed by products, and then data.

2. The annual salary of the image recognition position is one million, leading the salary of AIGC talents

According to Maimai data, among the hotly recruited positions in the AIGC field, the salaries of image recognition, algorithm researcher, and deep learning positions have all reached one million. In addition, as a non-technical position, the AIGC product manager has a salary level of 900,000 yuan, which has a relatively large advantage compared with other fields and attracts a large number of product talents to deliver.

3. AIGC talent portrait

(1) Education level

1. In AIGC-related positions, the requirement for a master’s degree or above has become the mainstream, accounting for more than 50%

2. Obvious characteristics of high education

Algorithmic talents have a very high degree of education: over 70% of them have a master’s degree or above, and the concentration effect of highly educated talents is obvious.
In terms of data and product positions, the proportion of talents with bachelor degree or above exceeds 90%, far exceeding the same positions in other industries.

3. High-skilled talents in the AIGC field gather together, and nearly half of the practitioners have a master's degree or above

The majority of AIGC practitioners are undergraduates, but there is not much difference between the number of undergraduates and masters. Nearly half of AIGC talents have a master's degree or above. Nearly 80% of AIGC talents have more than 3 years of work experience, and nearly half of them have more than 5 years of work experience.

4. Majors and schools favored by enterprises: Concentrated colleges and universities in Beijing

According to the analysis of the professional requirements for AIGC core positions, the company favors fresh graduates majoring in computer, mathematics, and statistics.

According to the Ministry of Education's "National Fourth Round of Disciplinary Evaluation" statistics, a total of 29 colleges and universities across the country have scored A or above in the selection.

From the perspective of geographical distribution, relevant professional colleges and universities in Beijing are relatively concentrated, and they are among the best in the list of key majors. It is also currently the city with the most concentrated AIGC talents in China.

(2) City distribution

1. Talents are concentrated in first-tier cities such as Beijing and Shanghai

As a city where artificial intelligence companies gather, Beijing has maintained a leading stock of relevant talents all year round, followed by Shanghai. Shanghai, the so-called financial center of the country, has a large number of data-related positions, and its higher salary has attracted more talents to take up the job. Shenzhen's AIGC industry development level ranks among the top three in the country, and its talent retention has also ranked third for a long time.

2. Beijing takes the lead, and the number of AIGC talents exceeds the sum of Shanghai and Shenzhen

AIGC talents are mostly distributed in first-tier and new first-tier cities, and more than 60% are gathered in Beijing, Shanghai, and Shenzhen. Among them, Beijing alone accounts for one-third, the number exceeds the sum of Shanghai and Shenzhen, and the talent attraction is far ahead.

3. Job distribution areas: Beijing maintains an absolute lead, and Shanghai and Shenzhen are hard to distinguish

According to the analysis of the job locations of AIGC job postings in the past by Liepin, Beijing occupies an absolute leading position in AIGC job postings all year round. The location of a large number of artificial intelligence companies here is inseparable from Beijing's long-term policy support for the new generation of information technology industry.

In recent years, Shenzhen has vigorously developed the artificial intelligence industry. Due to the cluster effect of innovative enterprises, the development level of Shenzhen's AIGC industry ranks among the top three in the country. From the perspective of talent demand, Shenzhen has been catching up with Shanghai all the year round. As of the first quarter of 2023, Shenzhen is slightly ahead of Shanghai in the number of new AIGC jobs issued by enterprises, ranking second in the country. It is worth noting that this year, Changsha recruited AIGC-related talents under the slogan of "getting the salary in Shenzhen and enjoying the housing in Changsha". In the first quarter of 2023, it entered the top ten AIGC recruitment positions for the first time, and the effect of its efforts is obvious.

(3) Distribution of length of service

1. 3-5 years of work experience is preferred

From November 2022, the demand for AIGC-related positions has increased significantly: on the one hand, the maturity of ChatGPT has far exceeded expectations, AIGC technology is in urgent need of product implementation, and senior technical talents with more project experience are more favored by enterprises; on the other hand, At present, the technical threshold of mainstream AIGC products is low, and non-technical personnel with rich business experience and industry experience can get started in a relatively short period of time and quickly reflect productivity.

2. Work experience is generally higher

Master's talents with three years or more of work experience are the key introduction targets for AIGC-related positions. According to the big data analysis of Liepin AIGC, most of the talent reserves of Liepin AIGC have worked for more than 3 years: 76.5% of the algorithm category and 82.2% of the data category %, while the product category is as high as 90.1%

(4) Age composition

1. 30% of AIGC talents are younger than 30 years old, and over 1/3 are older than 35 years old

Different from the Internet industry, nearly 70% of the practitioners in the AIGC field are over 30 years old. More than 34.5% of AIGC talents are over 35 years old, 6% higher than the Internet industry.

The AIGC industry usually pays more attention to technology and innovation than to age and working years.

Data source:
① Maimai Talents Think Tank

② Liepin Big Data Research Institute

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AIGC Talent Trend Insight: The AIGC era belongs to cross-border compound talents, and talents and innovation mechanisms are the keys to success

1. Industry background

(1) From Chat GPT to AIGC: ﻿ChatGPT phenomenon-level out of the circle, AIGC attention explosive growth