China News Service, Beijing, September 9 (Reporter Wang Shiyao) 24 years old, millions of fans, hospitalized with low potassium, and passed away unfortunately - when these keywords converge on "Qianfan Yingying", what we see is not only the sudden withering of a young life, but also another bloody outbreak of a deformed industry that has been suffering for a long time.
On August 17, 2026, "Qianfan Yingying" (real name Chen Ziyi), a food and broadcast blogger with millions of fans, passed away. Three days before her death, she also updated a video on social media, saying that she was hospitalized due to low potassium. In the video, she mentioned that she needs to eat repeatedly because of her food broadcasting and selling products. Sometimes she even eats 60 or 70 preserved eggs during a live broadcast.
This is not an isolated case. From the early "big eaters" to today's "eating and broadcasting bloggers", this track has never been short of tragedy. This is not the first time Yingying has been admitted to the hospital due to hypokalemia. She is well aware of the risks of her career.
However, knowing that there are tigers in the mountains and preferring to go there is the cold logic of the traffic economy: the curious eyes of the audience and the algorithm recommendations of the platform together form an invisible "meat grinder", using the health and even lives of young people as fuel in exchange for likes, rewards and sales revenue.
Mukbang, from "what to eat" to "how much to eat"
"Eat broadcast" was originally just a content form for showing food and sharing delicious food. I don't know when "what to eat" turned into "how much to eat."
If one table is not enough, just change to a bigger table; if one meal is not enough, challenge continuously; if normal eating is not exciting enough, we must constantly break through people's physiological limits. In front of the camera is a dazzling array of food, but behind the camera there may be warnings from the body again and again.
However, those images that appear to be “able to eat” may not necessarily mean that the body can actually bear it.
Some so-called "big eaters" and food bloggers may resort to extreme methods such as inducing vomiting and purging in order to maintain their filming and live streaming status. Medically speaking, severe vomiting or diarrhea can lead to a large loss of electrolytes, including potassium, and in severe cases can even cause cardiac arrest, sudden death, etc.
Therefore, the other side of what Yingying said in the video about "eating over and over again" is probably "repeatedly harming the body."
What the audience sees is often only a few dozen minutes in the camera, but they cannot see what the anchor goes through after leaving the camera.
You don’t see the stress on your gastrointestinal tract, you don’t see the risk of electrolyte imbalance, you don’t see the fear behind hospital visits. The traffic is only responsible for pushing the "stimulation" to more people, but will not bear the health consequences for any anchor.
As early as 2021, the "Anti-Food Waste Law of the People's Republic of China" has clarified that it is prohibited to produce, publish, and disseminate programs or audio and video information that promote food waste such as "eating too much and overeating".
The law has drawn a bottom line, but truly changing the ecology requires changes in platform governance and public aesthetics.
Because traffic never disappears. If a platform's recommendation mechanism continues to reward extreme eating, if brands regard "eating more" as the ability to bring goods, and if viewers vote for this kind of content with rewards, likes and watching time and time again, then this is not just the personal choice of the anchor, but a traffic chain jointly participated by the platform, business, anchors and audiences.
AI eating broadcast takes over the job of "Big Eater"
As real-life "big eaters" gradually fade away due to health risks and regulatory pressure, a new type of "eating broadcast" is emerging - AI eating broadcasts.
In a sense, AI seems to have solved the most difficult problem of real-life mukbang.
AI will not have stomachaches, low potassium, be hospitalized due to overeating, and does not need to actually swallow the food in the camera. It can generate content around the clock, can repeat the visual stimulation of "eating huge amounts of food" indefinitely, and will not interrupt the live broadcast because the body cannot bear it.
From this perspective, AI mukbang is even like a "technical antidote" for the mukbang industry: it not only retains the visual stimulation brought by gluttony, but also removes the real body from the camera.
However, if we think that the problem has been solved, we may have entered another misunderstanding.
Because the issue of mukbang is never just "will real people get hurt?" There's a more fundamental question: Why on earth do we need to keep watching a person eat more and more?
If AI just replaces a real big eater with a virtual one, and changes "a person eating dozens of preserved eggs" to "a non-existent person eating hundreds", then it will only solve the health risks, but not the traffic logic.
It may even make the problem more subtle. Real people at least have physical limits, but AI does not.
When technology removes the boundaries of the body, will content also lose its boundaries?
In addition, if AI content does not have a clear generation mark, it may be difficult for viewers, especially minors whose discernment abilities are still in the formative stage, to determine whether the scene in front of them is a real record or a virtual generation.
This means that AI eating and broadcasting cannot simply be understood as "safer eating and broadcasting". It only transfers the risk from the "host's body" to the "content ecology".
Of course, AI eating and broadcasting also has its positive significance. If it can reduce the number of real people engaging in extreme eating for the sake of traffic, reduce food waste, and control novelty, gluttony, and other content through clear labeling, content review, and algorithmic governance, then technology may indeed become a tool for industry transformation.
But what technology should really replace should not be the matter of "eating with real people", but the old model of exchanging people's health for traffic.
The end of flow should not be the limit of the body
When a young life passes away, the last thing that should be left behind is another short-lived hot search.
If an industry can only get more traffic by "eating more", then its problems will not really go away regardless of whether the person sitting in front of the camera is a real person or an AI-generated virtual person.
From "Big Eater" to "Mukbang" to "AI Mukbang", what we should really change may not be who is sitting in front of the camera, but the evaluation system behind the camera.
Don’t regard breaking your physical limits again and again as “dedication”, don’t package the alarms sent by your body as “professional spirit”, and don’t mistake the onlookers for extreme behaviors as just ordinary entertainment.
As Yingying mentioned in the last video, "Making money is important, but your body always comes first."
Eating should be a daily routine that satisfies the appetite and feels the smoke. When "eat more" becomes the traffic password, and when people's bodies become content props, mukbang is no longer just about "watching others eat."
What it really devours may be health, rationality, and the boundaries that a content industry should have.
AI may be able to replace a "big eater" who won't get hurt, but it cannot replace our reflection on traffic first.
