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[Introduction] Liepin Big Data Research Institute released the "AIGC Employment Trend Big Data Report 2023", the average annual salary of recruitment has reached 400,000, and the demand for Ph.D. has increased by more than 100% year-on-year.
Needless to say, everyone knows how popular ChatGPT has been in the past six months.
With the global explosion of ChatGPT, AIGC has also successfully broken the circle from the field of science and technology, and has become a national topic across all circles.
AIGC's subversion of graphic and video creation has had a profound impact on related industries, and various predictions are emerging one after another.
In the discussion of different opinions, computer/AI and other related majors have also become hot spots for college entrance examination volunteers.
Just recently, Liepin Big Data Research Institute released the latest "AIGC Employment Trend Big Data Report 2023".
The report conducts a comprehensive analysis of employment opportunities, salary status, talent reserve and delivery in the AIGC field, and combines relevant expert interviews to reveal the necessary skills and qualities to enter the AIGC field.
01
AIGC talent demand analysis
1. AIGC talent demand in the first quarter of 2023 is 5.6 times that of the same period three years ago, while AI is less than 2 times
The Liepin Big Data Research Institute takes the number of new jobs in AIGC and AI in the first quarter of 2020 as the base, and divides the number of new jobs in the two fields in each quarter from this quarter to the first quarter of 2023 by their respective bases, so as to observe them. The growing trend of talent demand.
The comparison found that from the first quarter of 2020 to the first quarter of 2021, the job growth of AIGC and AI is comparable.
Since then, AIGC has continued to grow overall, and the number of new jobs in the first quarter of 2023 is 5.63 times that of the first quarter of 2020.
In contrast, the growth rate of the number of new AI jobs is relatively slow, which is 1.95 times that of the first quarter of 2020.
2. In the past year, AIGC’s new jobs have increased by more than 43% year-on-year, and the average annual salary of recruitment has exceeded 400,000
In the past year (June 2022-May 2023), AIGC's new job growth has been more significant, an increase of 43.66% over the previous year (June 2021-May 2022).
In the past year, the average annual salary of AIGC's new job recruitment was 401,200, which was 80,900 higher than the average annual salary of AI recruitment in the same period (320,300).
3. AIGC Employment Opportunity Analysis
1) Nearly 50% of AIGC positions are located in the Internet industry, with an average annual salary of 430,000
The three industries with the most jobs in AIGC in the past year are IT/Internet/games, automobiles, electronics/communications/semiconductors, accounting for 49.13%, 17.59%, and 6.63%; the corresponding average annual salaries are 432,300 and 346,500 , 428,300.
2) AIGC positions in the scientific research technology/business service industry have the fastest growth year-on-year, with a growth rate of over 200%
Judging from the three industries with the fastest year-on-year growth in AIGC new jobs in the past year, AIGC job growth in the scientific research technology/business service industry ranks first, accounting for 211.86%.
The foundation of scientific research technology/business service lies in the quality of R&D and service, and AIGC provides a more effective and convenient path for it.
The energy/chemical/environmental protection, IT/Internet/game industries ranked second and third in the year-on-year growth of AIGC positions, 120.99% and 61.88%.
The average annual salary of AIGC positions in these three industries is relatively high, which are 503,500, 337,600, and 432,300 respectively.
3) Algorithm engineers in the AIGC field have the greatest demand, with an average annual salary of 450,000.
Judging from the TOP10 distribution of AIGC’s three-level hot recruiting functions in the past year, the top three are algorithm engineers, natural language processing (NLP), and product managers, accounting for 14.67%, 7.37%, and 5.40%.
Among the TOP10 functions, the highest average annual salary is image algorithm, which is 556,200; the average annual salary of deep learning, natural language processing (NLP), machine vision, and machine learning is over 500,000; algorithm engineer ranks sixth, 450,500.
The recruitment salaries of these ten functions are generally higher, especially the technical functions have more advantages, which is closely related to the fact that AIGC is in the limelight, the entry threshold is high and talents are scarce.
4) Beijing and Shanghai have the most AIGC jobs, and Beijing AIGC ranks first with an average annual salary of more than 470,000
Among the top 10 cities in AIGC's newly issued jobs in the past year, Beijing and Shanghai have the most jobs, ranking first and second, accounting for 22.21% and 20.37%.
Shenzhen and Hangzhou ranked third and fourth, accounting for 11.75% and 10.15%. Guangzhou and Suzhou ranked fifth and sixth with 3.90% and 3.84% respectively.
In terms of the average annual salary of recruitment in these TOP10 cities, Beijing, Shenzhen, Nanjing, and Shanghai rank in the top four, with 471,900, 463,500, 430,600, and 427,400 respectively.
Hangzhou and Guangzhou ranked fifth and sixth with average annual salaries of 394,400 and 375,000 respectively.
Li Zhifei, the founder and CEO of Momenwenwen and a former scientist at Google headquarters, said that AIGC tool attributes have restructured the workflow of knowledge creation content and brought new possibilities and business models to the AI industry. This efficiency improvement is to build a market increment for large-scale production.
02
AIGC Recruitment Threshold Analysis
1. Jobs requiring 3-5 years of experience accounted for more than 36%, and the demand for talents with 5-10 years of experience exceeded 70% year-on-year
Judging from the distribution of work experience requirements for AIGC's newly issued positions in the past year, the positions with 3-5 years of work experience are the most, accounting for 36.23%; followed by 5-10 years of work experience, accounting for 23.29%.
AIGC has the fastest growing demand for talents with 5-10 years of experience, with a year-on-year increase of 70.75% in the past year; the growth rate of AIGC talents with 3-5 years of experience ranks second, with a year-on-year increase of 57.61%.
It can be seen that AIGC recruiters prefer practitioners with certain work experience.
2. AIGC is more eager for highly educated talents, and the demand for doctoral talents has increased by more than 100% year-on-year
In the past year, AIGC and AI newly issued positions accounted for 70.80% and 70.43% of the demand for undergraduate talents.
In terms of demand for higher education, AIGC is significantly higher than that of AI. The former's demand for masters and doctorates accounts for 21.56% of the total; the latter's 14.24%.
AIGC is more eager for doctoral talents, and its demand has grown the fastest among all academic qualifications, with a year-on-year increase of 108.11% in the past year.
3. Analysis of talents that AIGC companies are interested in
1) The most favored function of AIGC companies: Algorithm Engineer
Among the top 10 three-level functional distribution of talents actively communicated by AIGC-related companies in the past year, algorithm engineers took the lead with 10.83%.
Product managers ranked second, accounting for 3.37%; natural language processing (NLP) and intelligent network engineers ranked third and fourth, accounting for 2.38% and 2.16%.
It can be seen that algorithm engineers are most favored by AIGC companies.
2) AIGC companies are most interested in talents from major technology companies, and among the number of people contacted, those with Huawei background rank first
Judging from the distribution of TOP5 talent source companies that AIGC companies actively communicate with in the past year, Huawei ranks first.
Ranked second to fifth are Baidu, Tencent, ByteDance, and Meituan.
4. The hard technology and soft skills needed to enter AIGC
According to Li Zhifei, the hard skills required to enter AIGC include:
- Familiar with the basic principles and algorithms of machine learning and deep learning;
- Understand the basic concepts and techniques of natural language processing, including text analysis, text generation, etc.;
- Have good data processing and data analysis capabilities, including data cleaning, feature engineering, etc.;
- Have good programming skills, proficiency in programming languages such as Python, Java, C++, and good software engineering skills, including version control, code specification, testing and debugging, etc.;
- Innovative thinking capable of constantly exploring new technologies and applications;
- and problem-solving, communication and teamwork skills.
03
AIGC Talent Reserve Analysis
1. In the past year, the number of talents under the age of 25 in the AIGC field has increased the most year-on-year, exceeding 60%
In the past year, AIGC's overall talent has increased by 19.53% year-on-year.
In terms of age groups, the proportion of talents under the age of 30 has increased from 31.64% to 35.61%, and the number has increased by 31.70% over the previous year.
Among them, the number of talents under the age of 25 increased by 61.90% year-on-year, the largest increase among all age groups; the number of talents aged 25-30 increased by 27.62% compared with the previous year. It can be seen that there is a clear increase in the number of young people among the talents of AIGC.
Nevertheless, talents aged 30-35 still accounted for the most, accounting for 35.77%.
2. The academic background of AIGC talents is better than that of AI, with master and doctorate accounting for nearly 45%
In the educational distribution of AIGC talents in the past year, undergraduates accounted for the most, accounting for 48.49%. Master's degree and doctoral degree accounted for 42.20% and 2.79% respectively, totaling 44.99%.
Among AI talents, the proportion of undergraduates is 54.09%, and the proportion of masters and doctorates is 23.90% (22.32% for masters and 1.58% for doctors), far lower than AIGC.
3. Beijing-Shanghai AIGC has the most talents, accounting for nearly 50% of the total
Among the top 10 AIGC talent cities in the past year, Beijing and Shanghai ranked the top two, accounting for 26.01%, 23.34%, and a total of 49.35%.
Shenzhen ranked third, accounting for 11.90%. Hangzhou and Guangzhou ranked fourth and fifth with 5.78% and 5.27% respectively.
Hangzhou is an important Internet city, and it is also the headquarters of several major Internet companies. At the same time, there are many AI-related companies, so AIGC has a relatively large talent pool.
4. AIGC talents are highly educated, and senior practitioners have higher salaries
1) The average annual salary of AIGC talents exceeds 400,000 yuan, and the average annual salary of doctors exceeds 750,000 yuan
In the past year, the average annual salary of AIGC talents was 401,200 yuan, 121,900 yuan higher than that of AI (279,300 yuan).
The salary of AIGC talents is directly proportional to the level of their educational background. The average annual salary of junior college, undergraduate, master, and doctoral degrees increases step by step, to 251,100, 358,200, 443,300, and 758,600, respectively.
2) After 15 years of experience, AIGC talents ushered in a big explosion in salary, with an average annual salary of over 670,000
The salaries and working experience of AIGC talents are on the rise. The average annual salary of AIGC talents with less than 5 years is less than 260,000.
The average annual salary of AIGC talents with 10-15 years of experience is close to 500,000, which is 490,300.
The average annual salary of AIGC talents with more than 15 years is as high as 674,100. From this point of view, experience is wealth.
5. AIGC talent source analysis
1) The proportion of talents from the Internet industry ranks first, and the proportion of talents from major Internet companies is relatively high
Judging from the TOP10 secondary industries where AIGC talents last worked in the past year, the Internet industry has the most talents, accounting for 12.67%; computer software and vehicle manufacturing rank second and third, accounting for 9.78% , 9.47%.
The top 5 companies where AIGC talents worked last are ByteDance, Huawei, Alibaba, Baidu, and Tencent. Four of the top 5 talent companies that actively communicate with AIGC companies overlap, which further confirms the employment of high-tech companies. Experience makes it easier to enter the AIGC field.
2) Most people worked as product managers and algorithm engineers in their last jobs
Judging from the TOP10 three-level functional distribution of AIGC talents' previous jobs in the past year, product managers and algorithm engineers rank in the top two, accounting for 6.91% and 5.35%. Other functions accounted for less than 5%.
In this regard, Li Zhifei said that AIGC's demand for talents is becoming more and more diversified. In addition to traditional computer science and data science talents, AIGC also needs professionals with knowledge and experience in AI model optimization, natural language processing, and robot operating systems.
04
Analysis of job hunting behavior of AIGC talents
1. In the past year, the number of talents who delivered AIGC increased by more than 270% year-on-year, which is 13 times the growth rate of the number of people who delivered AI
Due to the global warming of AIGC, the number of talents in this field has surged, and the growth rate of the number of deliverers far exceeds that of AI.
Liepin big data shows that in the past year, the number of talents delivered to AIGC has increased by 274.73% year-on-year, and its growth rate is 13 times the growth rate of the number of AI delivered in the same period (21.09%).
2. The number of natural language processing and product managers in the field of AIGC is the largest, accounting for nearly 20% of the total
Judging from the distribution of TOP10 three-level functions that AIGC has received the most deliverers in the past year, the top three functions are natural language processing (NLP), product managers, and algorithm engineers, accounting for 9.35%, 9.30%, and 8.15%. .
It is worth noting that content operations and new media operations are also among the top 10.
From the perspective of dominant influence, AIGC is more helpful to content and new media, so related positions are more attractive to job seekers.
3. Companies submitted by AIGC talents: Internet and artificial intelligence companies account for more than half of the country
Among the top 10 companies that posted AIGC jobs in the past year, Internet giants occupy four seats, among which Baidu, Ali, ByteDance, and Tencent rank second, fifth, sixth, and eighth respectively.
Among them, the computer hardware company Honghe Technology ranked first; the AI company Shangtang Technology, Lingxin Intelligent and the AI organization Guangdong-Hong Kong-Macao Greater Bay Area Digital Economy Research Institute (Futian) ranked third, seventh and tenth; Internet companies Kunlun Wanwei ranked fourth.
Manufacturing company Sany Group came in ninth. It can be seen that the number of job seekers submitting AIGC positions is concentrated in Internet and artificial intelligence companies.
In the face of AIGC's powerful technical power, many professionals are deeply worried about how to keep their "jobs".
Li Zhifei pointed out that there are two types of occupations that AIGC is most likely to replace. One is occupations that can complete a closed-loop work on a computer and have a large number of repetitive tasks, such as basic art/design; the other is occupations that are easy to standardize. Such as customer service and marketing copywriting using fixed speech techniques.
Those least likely to be replaced are those that require face-to-face interaction and rely on physical skills, such as tradesmen such as plasterers, electricians and mechanics, and service workers such as hairdressers, cooks, doctors and nurses.
Li Zhifei suggested that people in the workplace should consciously cultivate skills that cannot be replaced by AIGC, such as innovative thinking, the ability to solve complex problems, and interpersonal skills.
05
ChatGPT is on fire, but what is taught in school has little to do with it
Coincidentally, some time ago, a hot search question on Zhihu also reflected the further improvement of the education requirements in the AIGC field-what is the popularity of large models, and AI students can't find a job?
In this regard, a close friend explained the reason: I learned to weave by hand, but now the Jenny loom is popular...
The core technology of ChatGPT "Transformer" was published in 2017, and the undergraduates majoring in artificial intelligence who graduated this year are the students who entered in 2019.
The curriculum of artificial intelligence majors in domestic colleges and universities is very similar to that of computer majors.
In the freshman year, almost all artificial intelligence majors will learn basic programming languages. In the sophomore year, they will start to learn web design, front-end, data structure and other courses.
It wasn't until the junior year that I started to learn courses such as neural network, deep learning, intelligent speech, image recognition, etc. that have the "brand" of artificial intelligence majors.
There is a high probability that the content related to "Transformer" may not have the opportunity to learn at all.
Therefore, the biggest problem affecting the employment of undergraduates majoring in AI is that there is a serious disconnect between the content of the school and the actual ability required by the industry.
Moreover, this disconnect is also reflected in the fact that artificial intelligence companies also cannot recruit useful employees.
The hysteresis of education has been magnified, leading to a serious industry-university decoupling.
Many jobs now require talents who are proficient in programming, data structures and algorithms, probability theory of high-altitude linear algebra, compilation principles, machine learning, deep learning, etc. The comprehensive quality requirements are extremely high.
On the other hand, the explosive development of the artificial intelligence industry this year was brought about by a group of high-end technical talents.
At the current stage of development of the industry itself, there is an urgent shortage of high-end technical talents.
The knowledge reserve and practical experience of undergraduates are difficult to meet the industry's requirements for talents.
The technological development of the industry is rapid, and the content that undergraduates study most of the time may be useless before they understand it.
Moreover, artificial intelligence is different from the Internet. The winner-take-all model requires higher technology and talents, but does not require a lot of labor in basic positions.
This has led to the embarrassing position of "higher success, lower achievement" for undergraduate graduates who do not have an advantage in academic qualifications.
06
How to become a qualified AI engineer?
On Zhihu, a senior HR of an Internet listed company—Sister Huohuo, gave some advice to those who are interested in entering the artificial intelligence industry.
The editor thinks it is very pertinent, and the paraphrase is as follows:
From this point of view, whether you are a student or a student preparing to enter the artificial intelligence industry, you still need to study for a graduate student.
References:
https://www.zhihu.com/question/603753581
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