The trillion market is going to change, the "ChatGPT" of the recruitment industry or change the industry map?

Wen 丨BT Finance Meng Xiao 

Since ChatGPT became popular on the whole network, ChatGPT has also set off a boom in China. The recruitment industry, which has massive amounts of data, has also been given a new imagination.

A few days ago, according to the "IT Times" Weibo revealed that Zhaopin's latest artificial intelligence dialogue product is being tested internally, and the online time is to be determined, it is reported that the "recruitment version of ChatGPT" can not only help job seekers write resumes, but also help companies automatically generate job introductions.

Just when everyone was curious, a piece of content from the circle of friends of Cai Baiyin, executive vice president of Zhaopin, ALG, confirmed that this matter was not unfounded. Cai Baiyin's dynamic content posted in the circle of friends is: "In the internal test of the intelligent artificial intelligence dialogue product, we did not let the AI grab the job, he came to help you write the job description and write the resume. ”

This is equivalent to the default that Zhaopin recruitment is laying out the "recruitment version of ChatGPT", what new sparks can Zhaopin and AI create? Will the recruitment industry rewrite the industry landscape?

ChatGPT boosts technician salaries trillion market or for "pie"

Indeed, ChatGPT has led the fire of AIGC (short for AI Generated Content, meaning the use of artificial intelligence technology to generate content) related industries, which can be seen from the phenomenon of high-paying recruitment by many companies. Lin Fan, founder and CEO of Pulse, sighed on social platforms a few days ago that "the AIGC entrepreneurial boom driven by ChatGPT is coming, and headhunters have already issued a monthly salary of 100,000 to grab people". Technical talents are "hard to find", the industry has encountered a labor shortage, and many companies have offered sky-high salaries to test the waters of ChatGPT.

From the "ChatGPT Related Areas Employment Insight Report", it can be found that the talent demand of three sub-areas closely related to ChatGPT - pre-training models, conversational bots and AIGC is blowing out. Taking pre-trained model algorithm engineers as an example, the average annual salary alone is as high as 457,800 yuan (excluding year-end bonuses and other benefits), and the top position in AIGC is algorithm engineer, with an average annual salary of 444,900 yuan.

Enter keywords such as "ChatGPT" and "AIGC" on Zhaopin, you can find that the salary of these Internet giants is not low, taking Baidu's recruitment on Zhaopin as an example, its recruitment position is a senior algorithm engineer of the Knowledge Graph Department, with a monthly salary between 4-70,000 yuan, and indicate 16 salaries; iFLYTEK recruits large-model NLP algorithm engineers with a salary of 5-80,000 yuan per month, and enjoys 14 salaries... A war is going on between large factories to recruit artificial intelligence talents.

Internet giants rely on resource ecology and have certain advantages in recruitment, while some smaller companies are inevitably uncompetitive, can only directly "throw money", some companies even open 8-110,000 yuan / month salary recruitment AIGC related positions, occasionally some smaller companies, the salary is even more frighteningly high. 

Before ChatGPT produced real business benefits in the Chinese market, the industry had become hot to the sky, directly raising the salary level of AIGC-related talents.

Different from Zhaopin's low-key ChatGPT, many Internet bigwigs directly entered the market after smelling business opportunities, and Baidu officially announced on February 7 that it would launch "Wen Xin Yiyan" in March; Jingdong, Ali, 360, Tencent and other Internet giants said that they have begun to lay out in this field; On February 13, Wang Huiwen, the former co-founder of Meituan, successively posted a number of news on social media, announcing that he would enter the AI field, and invested 50 million US dollars to establish a company, recruit heroes, and recruit the industry's top AI-loving technical talents.

Wang Huiwen said that he raised $50 million "light-year" as an investor to set up the company, and the next round of financing for the new company has already had top VCs subscribe for $230 million. According to industry insiders familiar with the investment circle, these VC institutions include Source Code Capital and ZhenFund, and the first batch of recruits is Liu Jiang, vice president of Beijing Zhiyuan Artificial Intelligence Research Institute.

Under the wind, related concept stocks are almost soaring, from the end of January, Hanwang Technology seven consecutive boards, up more than 90%; The official announcement will release Baidu, Hong Kong stock prices rose 15% in one day, and US stock prices also rose 12%; In terms of A-shares, almost all of the 47 ChatGPT concept stocks in the flush are also red...

With the popularity of ChatGPT concept stocks, the stock prices of many companies have skyrocketed, but unlike some bigwigs, some investors have also begun to take the opportunity to reduce their holdings and cash out. Subsequently, after the crazy period of ChatGPT, the capital market began to gradually enter a cooling-off period, on the afternoon of February 23, related concept stocks continued to weaken, the stock price fell sharply, Hanwang Technology, which once rose for 7 consecutive years, began to fall to a limit, Hongbo shares and Haitian Ruisheng fell by more than 7%, and Yuncong Technology and Beyondsoft, one of the four AI tigers, also fell to varying degrees.

Investors have gradually become more rational from blind pursuit at the beginning, and many people are soberly aware that the income in the AIGC field is far away, and the high profile of many companies may be more hot. Some insiders frankly said that whether it is perceptual intelligence or cognitive intelligence, AI is inseparable from the three core elements of algorithms, computing power and calculations if it wants to transform from technology to application. The algorithms include deep learning, reinforcement learning, supervised learning, etc., which are the technical foundation of AI and the field that scientists strive to break through. Computing power is the infrastructure of AI, which is rapidly extending from general computing to intelligent computing. The data is the object of calculation, that is, the data, in the era of cognitive intelligence, the object to be processed by ChatGPT is no longer ordinary data, and even knowledge in various fields, and its scale basis is the necessary conditions for the algorithm to optimize and upgrade. ChatGPT products have a high entry threshold in terms of objective conditions such as funds and data scale, and each company needs to weigh its own strength before entering the game. 

A win-win in the field of human resources

According to BT Finance, Zhaopin's "recruitment version of ChatGPT" is based on Zhaopin's massive user portrait data, behavior data and other foundations, and uses a huge data label system created for a long time to generate content. This is highly consistent with the AIGC capabilities behind ChatGPT.

At present, all walks of life are thinking about how AIGC is applied, thinking about how to iterate products and upgrade services through it, and Zhilian uses it to help "recruit people and find jobs", compared with the outside world's concerns about "AI to grab jobs", this choice is more like "defeating magic with magic".

Looking specifically at the choice of layout AI of Zhaibian, it is not a precedent in the industry. For example, each platform basically introduces algorithms in information matching, relying on their respective user data and behavior data, the platform can determine the skill characteristics and job preferences of job seekers, and recommend job seekers who like and are suitable for job information. In the workplace community, there are also some practices, Zhaopin's "Career Q" can establish basic workplace contacts for professionals according to graduation institutions and work experience, and can also recommend allies in the same industry and the same profession to establish circles and communities. Pulse also relies on "social + algorithm" to provide content community and networking services. In terms of talent recognition tools, Liepin has launched the AI intelligent recognition interview system "Magic Mirror", while Zhaopin also has a similar product "AI Easy Face", which can combine video analysis technology, speech analysis technology, semantic understanding technology, face feature recognition technology, human resources measurement technology, etc., to comprehensively analyze and evaluate the job quality of candidates, so as to help enterprises select massive talents. In addition, Zhaopin.com has also launched the digital human "Xiaozhi", which has repeatedly interacted with young professionals in various virtual scenarios.

Although each company has participated in AI, it can be found that in the human resources ecological chain, the algorithm of Zhaopin recruitment involves more scenarios, and the multi-chain of "selection and retention" has achieved local collaboration, which has laid a solid foundation for its ChatGPT-like products.

In addition, with the adjustment of the talent structure in the labor market in recent years, the activity of the recruitment platform has been continuously improved, and the independent learning of algorithms in it has also been upgraded. For Zhaolian, which performs better in algorithm capabilities and data capabilities, workplace data labels will be sliced more specifically, further strengthening the moat of competition for Zhaolian to promote AIGC products, so that products become more and more intelligent in the process of continuous "dialogue" with users.

It is reported that when using this product, enterprises can generate a complete job advertisement by entering the company type, recruitment position, number of recruits and two job descriptions on the page according to the recruitment needs, which details the job responsibilities and job requirements, academic requirements, salary categories and other basic options about the position, which will also be automatically supplemented according to the reserve of big data, without manual setting; In terms of personal resume generation, job seekers only need to provide their age, graduation institution, current position, job search intentions and other information to get a standard personal resume; In addition, all generated content is editable, and businesses and individuals can quickly modify it according to their actual situation.

( Job Resume Generation) 

( Job Description Generation) 

Gao Pei, senior HR of AIA Life Insurance Company Limited, predicts that once Zhaopin's new recruitment products are put into practical application, it will change the form of interaction between users and the platform. "The job JD that HR needs to write daily is more of a new career or new field opened up by business adjustments, and often needs to read a large amount of reference information, and this new tool can quickly lay a good draft and improve efficiency for HR through instant matching; In addition, due to its interactive nature, it is easy to respond to simple inquiries, which also avoids HR answering the same questions repeatedly and frees up human efficiency. For job seekers, it can help them structure and refine the value of their work experience, making job search more efficient. It can be imagined that after the launch of this product, it may not only improve efficiency, but also promote more efficient and accurate matching between supply and demand, and will have the opportunity to play a greater value, and it will be a win-win situation for enterprises and job seekers. ”

Gao Pei welcomed Zhaopin's "recruitment version of ChatGPT", but also expressed concern, "The promotion and application of ChatGPT may lead to a large number of HR job losses." "In my further consultation with other HR practitioners, the author learned that HR has encountered more than just challenges brought by ChatGPT in the process of digital development. In the experience of introducing and using various human resources digital tools, many released HR personnel will be transferred to HRBPs supporting business lines, which is a collaborative way for HR to deeply participate in business and support business, helping many enterprises release more efficient performance.

The recruitment landscape will change

The reason why Zhaopin.com became the first platform to launch the "recruitment version of ChatGPT" may have a lot to do with its emphasis on the ecological value chain of human capital. Guo Sheng, chairman and CEO of Zhaopin, once told the media, "The success in any industry is often not the fastest rabbit, but the turtle who has the patience to look at the direction and really persist, so that the vitality of the growing enterprise is tenacious enough." ”

Zhaopin has an early layout in the field of AI, and in addition to deepening products, it also actively carries out technical collaboration with external partners. In 2019, Zhaopin and Alibaba Cloud held an intelligent algorithm competition, inviting relevant people from colleges and universities, scientific research institutions, and Internet enterprises across the country to train ranking models based on sampling and desensitized workplace data, and provide suggestions for optimizing recruitment scenarios in the big data environment through scenario simulation competitions. This year, Zhaopin signed a strategic cooperation agreement on cloud synergy with HUAWEI CLOUD and Huawei Device Cloud Service, and the three parties will actively carry out comprehensive and in-depth cooperation in the fields of talent recruitment, cloud technology, brand, cloud ecosystem, Hongmeng ecosystem co-construction, and application distribution. In addition, in recent years, it has also attracted many professionals to join the camp of deep talent big data, such as Wang Hao, former vice president of station B, as CTO of Zhaopin, such as Cai Baiyin, executive vice president of ALG who led the "recruitment version of ChatGPT", etc., the arrival of these technical "bulls" may accelerate the "AI process" of Zhaopin recruitment, making people look forward to this product that has not yet been officially launched...

"Now that Zhaopin has launched ChatGPT, I believe that other recruitment companies will soon follow, in addition to optimizing the recruitment process, related technologies also have broad development space in the fields of intelligent assessment and training empowerment." In the already highly competitive recruitment industry, only by seizing the commanding heights of technological innovation can we create a new situation. Of course, relying on Zhaopin recruitment alone is not enough to change the development process of the recruitment industry, and the promotion of the whole industry can bring about the transformation of human resources digitalization. Another senior HR, who did not want to be named, believes that the recruitment industry landscape may change drastically this year, companies that can keep up with the trend of the times will stand out, and recruiters who are slower to respond may slowly fall behind.

As the earliest industry to be transformed by the Internet, the transformation power of technology has become the gene of the industry, based on standardized structural fields such as resume, position JD, talent management, etc., AI plays a value in it is also quite imaginative.

For example, through AI analysis, job advertisements can be sent to target talents, and resumes can be effectively screened based on natural language processing tools. In addition, AI can more effectively connect the various links of "selection and retention", such as in the internal push channel set up by many enterprises, AI can automatically classify different positions of internal push, automatically analyze past recommendation data, and count what kind of internal push success rate is higher, so as to screen out job seekers; After a new employee joins, the training work that should be done by human resources can be easily replaced by AI, simplifying the process of onboarding new employees; When planning the training content, according to the existing skills of employees, provide suitable training solutions to help them achieve better career development; Provide personalized employee experience through talent management analysis to help enterprises improve employee retention...

"Job seekers in recruitment are mainly showing a younger trend, young people are the main composition of job seekers, these people accept new things faster, but also willing to try new things, this year and next year or will be a watershed for human resources enterprises, the strong are stronger, and even industry unicorns may appear." Zhaopin is now ahead, but it depends on the future market reaction and the response of competitors, and changes in the industry as a whole are inevitable. The person insisted that the landscape of the recruitment industry will change dramatically due to AI technology.

As mentioned above, cutting into the AI track is a very expensive and slow project, the entrants in the human resources industry are still dominated by powerful enterprises, the potential of AI is undoubted, in the actual competition, the competition is still long-term layout and comprehensive strength. Perhaps, the future transformation of the HR platform is to become a superior technology company.

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