Not sure if this is what we also witnessed on the ground as well. The third question is a little bit long term about the ChatGPT. People are talking about that, in the longer term, it’s a little bit, you know, the lower or a little bit mid to low, the job of the white-collar could be replaced by the ChatGPT in the longer term. So what’s your thought on this? Thank you.
Jonathan Peng Zhao: Thank you for your question. Regarding your first question, there are two types of blue-collar users on our platform. The first one is the urban service. And within the urban service industry, we have — we have witnessed both the fast growth in user as well as job postings. So there is no issue about lack of job postings. It is fine for this sector. And in terms of manufacturing, after the Chinese New Year Festival until this week, which is seven to eight weeks after the Spring Festival. In the first, we did saw that the job postings growth has been much lower compared to the job seeker growth. But the situation has been improving recently. There is a quite interesting observations. There is a key metrics we look at on our platform, which is the achievement, which means the mutual consent achieved between job seekers and enterprise users on our platform.
So within the manufacturing industry, what we have observed that compared to last year, the average achievement per person has slightly decreased but not huge, but the efforts for job seeker to achieve some level of achievement has been much greater. This is the first time I have been talking about this metric publicly. So the result is that the overall achievement result has decreased a little bit. But the efforts when job seekers need to put is much bigger. So they felt, the feelings of the severity of the of job seeking is much greater compared to the result that they have to get. So about the mismatching questions you asked, which is quite professional that a lot of job seekers cannot find a job and less job offerings which under this situation is quite difficult for our platform.
But in the past what we have seen that especially within the blue-collar manufacturing, urban service, logistics subsectors, there is quite a lot of flexibility for the job seekers. So both in terms of their skills and ages and the job they’re working. So we have seen the adaption of the job seekers to switching between different kinds of industries to satisfy their need for job seeking. And regarding your last question on ChatGPT, which is a quite interesting question. It is still too early to — to comment for the actual application of this technology on platform. But there’s not too much to say. But we have been highly focused on this technology and the challenge and opportunity it might create. So recently we noticed that the team has already applied this technology to some scenario for example — for example to generate a resume or personal advantage — advantages and etcetera.
So our team have been seriously following and — and thinking on this. So whether this — this will impose a challenge for some of the white-collar jobs, which is a very valid concern, similar to the manufacturing industry like moving a — moving element within the warehouse, the robots have replaced some of the physical works of the blue-collar workers. So the new — new technology, some of the white-collar jobs might be also replaced by — by some of the AI. So that’s a potential trend. I hope that we can — in the not fast future from — from now be able to tell our users, our investors that what kind of value we can create for our users based on the AIGC technology. And I hope that they would be fast and I’m quite confident.
Eddy Wang: Thank you.
Operator: Thank you. We’ll now take our next question. Please stand by. This is from the line of Timothy Zhao from Goldman Sachs. Please go ahead.
