There is a joke going around inside China’s big tech companies right now. Use AI too little and your boss scolds you. Use it too much and you burn the budget. A sharp Meihua article put it bluntly, asking how many employees at large firms are now being forced to use AI whether it helps or not. It is a funny line with a serious point underneath, and that point matters for every brand marketing in China.
The story is not really about tired employees. It is about the gap between the hype around AI and the reality of using it well. For marketers, that gap is where the opportunity sits.
Everyone has AI now, so AI is no longer the edge
Chinese research suggests more than nine in ten advertisers already use generative AI in some form. That is the crucial fact. When everyone has the same tool, having the tool stops being an advantage. The brands that thought AI would set them apart are discovering that a market full of AI generated content looks and sounds the same. Sameness does not sell in China, where the feed is brutally competitive.
This is exactly why the forced adoption inside big companies is producing so much frustration. Mandating that people use AI does not create better work. It just creates more work, faster, at the same average quality. The output goes up and the impact stays flat.
What actually separates brands now
The edge has moved from using AI to using it with judgment. The winners are not the teams that generate the most content. They are the teams that know what to keep, what to cut, and where a human touch changes everything. AI can draft a hundred captions. A good marketer knows which one sounds like a real person and which ninety nine sound like a machine.
The same shift is happening on the platform side. AI is now woven into the tools brands use to reach Chinese consumers, from WeChat’s assistant to the systems that decide what content gets seen. I covered two of the biggest moves here: WeChat’s AI agent for 1.4 billion users, and the developer layer behind it in Tencent Yuanqi explained.
AI is also changing how you get found
There is a second, quieter change that matters even more for the long run. Chinese consumers increasingly ask AI engines for recommendations instead of scrolling through search results. That means your brand has to be visible inside AI answers, not just on a results page. This is a real discipline now, and my colleagues laid out the fundamentals here: five facts about artificial intelligence in China. I also wrote about what this means for brand content specifically in AI agents and brand content in China.
How to use AI well in your China marketing
1. Use AI for volume, humans for taste. Let the machine draft and explore. Let a person decide what is good enough to publish.
2. Protect your brand voice. Feed AI your real tone and examples, then edit hard so the output does not sound generic.
3. Build for AI discovery. Make sure your brand shows up clearly and consistently when Chinese users ask AI engines about your category.
4. Do not mandate for the sake of it. Measure whether AI improves the result, not whether people are using it.
5. Keep a human in the last mile. In China the difference between content that connects and content that gets scrolled past is almost always a human judgment call.
The takeaway
The frustration inside China’s big firms is a signal, not a joke. AI has become table stakes, and having it changes nothing on its own. The brands that win in China now are the ones that pair the speed of AI with the judgment of people who understand the market. Do not chase AI to look modern. Use it where it helps, keep a human where it matters, and make sure you are visible in the AI answers your customers now trust.
Source (Chinese): 梅花网, “多少大厂牛马æ£åœ¨è¢«å¼ºè¿«ä½¿ç”¨AI？用得少挨骂，用得多费钱”. The article describes how employees at large Chinese firms are pressured to use AI regardless of whether it helps, exposing the gap between AI hype and real value.
About the author. Philip Chen is CEO of GMA (Gentlemen Marketing Agency), a digital marketing agency focused on the Chinese market. GMA has helped more than 1,000 brands grow in China across Baidu, WeChat, Douyin, Xiaohongshu and cross border e-commerce. Connect with Philip on LinkedIn.
