广告
加载中

杀死锌财经后 我被问最多的问题

潘越飞 2026-07-07 17:23
潘越飞 2026/07/07 17:23

邦小白快读

EN
全文速览

这篇是原锌财经创始人潘越飞关停机构化媒体后,梳理出的内容行业核心判断,都是面向普通内容创作者的干货,核心要点如下:

1. 行业趋势层面,未来内容公司的终局不是大规模机构,而是超级IP+AI算力+极轻组织,跑通的超级个体利润率能碾压很多上市公司,过去人多即壁垒的认知是热钱泡沫带来的幻觉,人多反而会成为负债。

2. 流量认知层面,流量红利早已结束,现在是信任战的持久战,几百万粉丝不等于资产,流量只决定曝光,信任才决定变现,真正赚钱的创作者都在经营信任场,黑红模式只是短期爆火,长期会出局。

3. 实操层面,AI抹平了80%基础能力,创作者要么走极致效率要么做极致独特,卡在中间会被淘汰;做内容要品相先行,重视视觉呈现,还要突出活人感,内容从真实生活中来,不要端着伪装精英。

这篇内容对品牌方做内容营销、选择达人合作、把握行业趋势提供了很多干货参考,核心内容如下:

1. 行业环境变化:当前营销已经从流量争夺进入信任争夺阶段,用户越来越只愿意为信任付费,周期下行后,品牌方自身也更关注转化、利润和确定性,要抛弃过去靠人情换资源的老模式,进入透明市场凭效果合作。

2. 达人合作选择:选达人不要只看粉丝量和播放量,要重点看达人的信任场运营能力,很多垂直赛道的小体量专家,播放量不高但转化率远高于大流量IP;不要选黑红达人,也不要选内容水、视觉差、端着说教的达人,优先选择有活人感、分享真实体验的达人。

3. 渠道布局参考:视频号的社交背书属性被低估,它本质是信任扩散平台,依托熟人社交背书更容易建立用户信任,适合品牌做信任型营销,值得重点布局。

这篇内容给做IP变现、内容电商的卖家提供了明确的机会提示和风险提示,核心干货如下:

1. 模式迭代方向:当前周期下,过去机构化、规模化的重资产玩法已经失效,超级个体+AI+极轻组织是更优的商业模式,跑通的个体卖家利润率远高于大规模机构,能更灵活应对市场变化。

2. 风险提示:流量红利已经彻底结束,不要盲目追求播放量和粉丝量,黑红模式风险极高,属于短期爆火长期死亡的路径,不要尝试;如果既没有AI带来的极致效率,也没有个人独特性,很容易被行业淘汰,要避开这类定位。

3. 机会提示:现在核心要经营信任场,信任才是变现的核心;视频号的社交背书价值被严重低估,适合做信任转化,可以布局做有信息密度、有社交货币属性的内容,借助用户的社交点赞完成信任扩散,获得更高转化。

这篇内容对工厂做自有品牌、推进数字化转型、布局内容电商也有很多启示,核心干货如下:

1. 商业环境变化:当前市场已经进入信任稀缺时代,用户更愿意为真实可信的品牌和产品付费,工厂做自有品牌不能只追求流量曝光,核心要打造用户信任,才能获得长期稳定的订单和利润。

2. 数字化转型启示:AI可以抹平80%的基础工作,工厂可以引入AI提升生产、运营、营销环节的效率,同时要突出自身产品的独特性,打造差异化的品牌人格,避免陷入同质化价格竞争,卡在中间被淘汰。

3. 内容营销方向:工厂做内容营销不需要养大规模的内容团队,可以采用超级个体+轻组织的模式,打造老板IP或者产品体验官IP,多展示真实的生产、使用场景,比端着的官方宣传更容易获得用户信任,降低营销成本,提升转化效果。

这篇内容点出了当前内容行业的核心痛点和发展趋势,对服务内容行业、品牌营销的服务商调整业务方向有很高参考价值,核心干货如下:

1. 行业核心痛点:过去机构化规模化的重资产模式已经不适应新周期,流量红利消失,信任成为稀缺资源,AI冲击了大量平庸的基础服务能力,很多从业者不知道该怎么调整方向。

2. 行业发展趋势:未来超级个体+AI+极轻组织会成为内容行业的主流模式,客户越来越看重实际转化和利润,不再为虚的流量和人情关系付费,对结果的要求越来越高。

3. 业务调整方向:服务商可以围绕新趋势开发配套业务,比如给超级个体提供AI内容工作流搭建、IP人格打造、信任场运营等服务;针对大量卡在中间,既没有效率也没有特色的从业者,开发对应的升级解决方案,做结果导向的服务,避开虚的人情单,才能获得长期发展。

这篇内容点出了创作者、品牌方对内容平台的核心需求,也暴露了现有平台存在的问题,对平台调整运营策略、规避风险有参考价值,核心干货如下:

1. 核心需求变化:创作者已经不再只追求流量分发,更需要稳定的信任转化环境,现有部分平台流量规则不稳定,随便限制创作者流量,会严重伤害创作者积极性,留不住优质创作者,平台要调整规则保障创作者的合理权益。

2. 生态优化方向:当前创作者已经明显分化,一类是走极致效率的AI内容团队,一类是走极致独特性的超级个体,中间层平庸创作者会被淘汰,平台在招商、流量分配上要针对性扶持前两类群体,优化平台内容生态。

3. 模式创新参考:视频号依托社交关系做信任扩散的模式已经被验证,平台可以借鉴这类逻辑,强化社交背书对信任的加持,帮助创作者完成商业闭环,同时要规避黑红内容带来的风险,引导创作者长期经营信任,构建健康的商业生态。

这篇内容展现了AI和资本冷周期下内容产业的新动向、新问题,对研究内容产业发展有很高的参考价值,核心内容如下:

1. 产业商业模式新动向:热钱退去后,内容产业的商业模式已经发生重构,过去追求机构化、规模化、标准化的发展路径被验证是热钱泡沫的产物,新的终局方向是超级个体+AI算力+极轻组织,个体IP的利润率远超过规模化机构,成为更可持续的商业模式。

2. 产业出现的新问题:流量红利彻底结束,信任成为核心稀缺资源;AI抹平了80%的基础平庸脑力劳动,中间层内容创作者正在被系统性清洗;过去靠人情、车马费盈利的自媒体模式正在快速退潮,劣币驱逐良币的行业旧秩序正在被打破。

3. 产业逻辑新变化:内容产业的商业价值核心从流量转向信任,内容场域分化为流量场、舆论场、信任场,三者并不存在正相关关系,依托社交关系的信任扩散模式,成为内容平台和内容创作者新的增长方向。

返回默认

声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

This essay shares core industry insights compiled by Pan Yuefei, founder of original Chinese financial media Zinc Finance, after he shut down his institutional media operation. It offers practical takeaways for independent content creators, with key points as follows:

1. **Industry trends**: The endgame for future content companies is not large-scale institutional structures, but a combination of super IP, AI computing power, and ultra-lean organizations. Profit margins of successful super individuals can outperform many listed companies. The old belief that "bigger teams equal stronger moats" is an illusion created by hot money bubbles — large headcounts have actually become liabilities.

2. **Traffic perspective**: The traffic growth era has long ended, and the industry has entered a prolonged war for user trust. Millions of followers do not equal valuable assets: traffic only drives exposure, while trust determines monetization. The most profitable creators all focus on building "trust fields." Controversial "black-red" (bad publicity-driven) creators only see short-term hype and will eventually fade out of the market.

3. **Practical guidance**: AI has leveled the playing field for 80% of basic content creation capabilities. Creators must either pursue extreme efficiency or extreme uniqueness; those stuck in the middle will be eliminated. Content should prioritize quality presentation, especially visual design, and emphasize authentic human connection. Great content grows from real life, not affected "elite" posturing.

This essay offers actionable insights for brands on content marketing, influencer partnership selection, and industry trend positioning, with core takeaways as follows:

1. **Shifting industry landscape**: Marketing has moved from a battle for traffic to a battle for user trust. Consumers increasingly only pay for content and brands they trust. Amid the economic slowdown, brands themselves are prioritizing conversion, profit, and certainty. They should abandon the old model of trading personal connections for resources and shift to result-based cooperation in a transparent market.

2. **Influencer selection criteria**: Do not choose influencers based solely on follower count or view volume. Prioritize their ability to operate a trusted relationship with their audience. Many small-scale niche experts, despite lower view counts, deliver far higher conversion rates than large-traffic IPs. Avoid black-red influencers, as well as those with low-quality content, poor visual presentation, and aloof, preachy tone. Prioritize authentic creators who share real-life experiences.

3. **Channel layout guidance**: The social endorsement attribute of WeChat Channels is severely undervalued. It is essentially a trust diffusion platform that relies on acquaintance social endorsements to build user trust more easily, making it ideal for trust-focused brand marketing and worthy of key prioritization in channel layout.

This essay provides clear opportunity and risk alerts for sellers doing IP monetization and content e-commerce, with core insights as follows:

1. **Model iteration direction**: Amid the current market cycle, the old institutionalized, scaled heavy-asset playbook is no longer effective. The "super individual + AI + ultra-lean organization" model is a far better business strategy. Profitable individual sellers deliver much higher profit margins than large institutions and can adapt to market changes more flexibly.

2. **Risk warnings**: The traffic boom is over; do not chase view and follower counts blindly. The black-red model is extremely high-risk, delivering short-term hype but long-term failure, and should be avoided entirely. If you can offer neither AI-driven extreme efficiency nor unique personal differentiation, you are very likely to be eliminated by the industry, so this in-between positioning should be avoided.

3. **Opportunity alerts**: The core priority today is building a trust field, as trust is the foundation of successful monetization. The social endorsement value of WeChat Channels is severely undervalued: it is ideal for trust-driven conversion. Sellers should create content with high information density and social currency attributes, leveraging user social shares and likes to diffuse trust and achieve higher conversion rates.

This essay offers valuable insights for factories building their own brands, advancing digital transformation, and rolling out content e-commerce, with core takeaways as follows:

1. **Changing business environment**: The market has entered an era of trust scarcity; consumers are increasingly willing to pay for authentic, credible brands and products. When factories build their own brands, they should not only chase traffic exposure. The core priority is building user trust to secure long-term, stable orders and profits.

2. **Digital transformation insights**: AI can automate 80% of basic work. Factories can adopt AI to improve efficiency in production, operations, and marketing, while highlighting their product uniqueness and building differentiated brand personalities. This avoids homogeneous price competition that leaves mid-tier players eliminated.

3. **Content marketing direction**: Factories do not need to build a large in-house content team for content marketing. They can adopt the "super individual + lean organization" model by building an IP for the factory founder or product experience officer, and showcasing real production and usage scenarios. This approach builds user trust far more effectively than stiff official messaging, cuts marketing costs, and improves conversion.

This essay outlines the core pain points and development trends of the current content industry, offering valuable guidance for service providers serving the content and brand marketing sectors to adjust their business strategies. Core insights are as follows:

1. **Core industry pain points**: The old heavy-asset model of institutionalized scale no longer fits the new market cycle. Traffic growth has ended, trust has become a scarce resource, and AI has disrupted a large volume of generic basic services. Many industry players lack clear direction for adjustment.

2. **Industry development trends**: The "super individual + AI + ultra-lean organization" model will become the mainstream of the content industry. Clients increasingly prioritize actual conversion and profit over hollow traffic metrics and personal relationship-based dealing, and they set higher requirements for delivered results.

3. **Business adjustment direction**: Service providers can develop new offerings aligned with this new trend, such as AI content workflow setup, IP personality building, and trust field operation services for super individuals. They can also develop targeted upgrading solutions for the large group of mid-tier players stuck between efficiency and uniqueness, and build result-oriented services. Avoiding hollow personal connection-based deals is key to long-term growth.

This essay identifies the core demands of creators and brands for content platforms, and exposes problems with existing platforms, offering reference for platforms to adjust operating strategies and mitigate risks. Core takeaways are as follows:

1. **Changing core demands**: Creators no longer only pursue traffic distribution; they increasingly need a stable environment for trust-based conversion. Some current platforms have unstable traffic policies and arbitrarily restrict creator traffic, which severely damages creator motivation and fails to retain top talent. Platforms need to adjust their rules to protect the legitimate rights and interests of creators.

2. **Ecosystem optimization direction**: Creators have clearly split into two camps: AI content teams pursuing extreme efficiency, and super individuals pursuing extreme uniqueness. Mid-tier generic creators will be eliminated. Platforms should prioritize supporting these two groups in recruitment and traffic allocation to optimize the overall content ecosystem.

3. **Model innovation reference**: WeChat Channels' model of trust diffusion through social connections has been validated. Platforms can learn from this logic to strengthen the role of social endorsement in trust building, help creators complete their commercial closed loop, and mitigate risks brought by black-red content. They should also guide creators to build trust over the long term to construct a healthy commercial ecosystem.

This essay lays out new trends and emerging issues in the content industry amid the AI disruption and capital cool-down cycle, offering high reference value for research on content industry development. Core points are as follows:

1. **New trends in industry business models**: After hot money retreated, the content industry's business model has been restructured. The old development path of pursuing institutionalization, scaling, and standardization has proven to be a product of hot money bubbles. The new endgame direction is super individual + AI computing power + ultra-lean organization. Profit margins of individual IPs far outpace scaled institutions, making this a more sustainable business model.

2. **New emerging industry issues**: The traffic boom has ended completely, and trust has become a core scarce resource. AI has leveled 80% of generic basic knowledge work, leading to the systematic elimination of mid-tier content creators. The old self-media model that profited from personal relationships and speaker fees is rapidly declining, and the old industry order of bad money driving out good is breaking down.

3. **New changes in industry logic**: The core commercial value of the content industry has shifted from traffic to trust. Content domains have split into traffic fields, public opinion fields, and trust fields, which do not have a positive correlation with one another. The trust diffusion model based on social connections has become a new growth direction for both content platforms and content creators.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

发完《我杀死了锌财经》,刷屏了一波,没想到,前前后后上百号人来私我有达人,有大机构掌舵者,有职业经理人,有创业者,有媒体人,也有品牌方。

我才发现,这件事戳中的不是我一个人的问题,而是这一轮周期里,很多人的共同焦虑:AI来了,IPO冷了,平台变了,流量贵了,信任稀缺了,组织不奋斗了,过去那套机构化、规模化、标准化的玩法,好像突然不灵了。

上周我去北京连续接受了三个访谈,电视台、播客、自媒体,聊完以后,我把大家问得最多的问题,重新整理成10个判断。

有些话,上次没讲透,这次补上。

我必须亲手杀死“锌财经”

因为温水煮青蛙,最后一定是一具体面的尸体。

过去我们迷信机构、SOP、规模化、100人才叫正规,觉得人越多,壁垒越厚。现在看,那是热钱泡沫里的幻觉,今天这个战时周期里,人多不是壁垒,而是负债,组织不是护城河,可能是随时会爆的重资产。

未来大部分内容公司的终局,不是更大的机构,而是更强的个体,超级IP,加上AI算力,加上极轻组织,一个跑通的超级个体,利润率可能碾压一票上市公司。

所以最后一个锌财经员工主动走下场做达人的时候,你拦什么拦。

下场永远都晚,也永远都早

信息红利、功能红利、时间红利、胆量红利、资金红利、资源红利、效率红利,偏偏没有一种叫流量红利。

流量战早结束了,信任战才是持久战。几百万粉丝不等于资产,算法平台不给你分发,保底播放可能连一万都不到。

如今我的某条号才只有十几个阅读,一度几十万粉丝偏偏几万+,骂过一次他们公司后,不再有流量,没证据没办法没得硬气。流量红利,那是平台的事,和任何达人都没有关系。

流量场决定你被多少人看见,舆论场决定别人怎么看你,信任场才决定别人愿不愿意掏钱。很多人天天盯播放量,真正赚钱的人一直在经营信任场。

黑红不是红。黑红是把自己的命脉挂在平台的绞肉机上。

短期爆,长期死。

AI已经抹平了80%的基础能力

中间地带正在塌方。要么极致效率,几个人架起AI工作流,配上一堆GPU,海量内容,概率压倒算法;要么极致独特,拼真人、真体验、真判断、真审美、真现场、真懂、真用、真创意。

你卡在中间,既没有机器的效率,也没有人的灵气,就只能被系统性清洗。

AI消灭的不是创意,AI消灭的是平庸的脑力劳动。

未来那20%的审美、直觉、判断和模型解读能力,会变得更贵。

不该贵的,就越来越不贵

靠人情单和车马费活着的自媒体,正在退潮,那是泡沫时代的残羹冷炙。

过去很多合作,本质不是内容交易,而是关系保护费。不要脸的赚钱,要脸的不赚钱,最后劣币驱逐良币,要么捏着鼻子给你一年两条,要么狠下心送进公安。

如人饮水,每句话背后都是初心,每个字后面都有因果。周期变差以后,大小老板会越来越关心转化、利润和确定性。

人情关系交不了差。

最后还是要撕掉遮羞布,去充分透明市场里,凭内容、创意和结果抢饭吃。

内容不是观点先行,是品相先行

讨老婆,先看上皮囊再看到内心,这是本能。

画质糊得像DV,背景像破会议室,声音像远程会议,这种素材品牌看一眼就扔,别再用“内容为王”当油腻老登坐播说教念AI水稿的偷懒借口。

视频时代,第一眼就是信任资产,镜头、光线、收音、场景、人物状态,全部都是商业交付的一部分。

只有懒达人,没有丑达人。第一眼视觉锚点不对,再有深度也是炮灰。

品相数据体感,活人感身份感创意感,也就六件事,不复杂,也复杂上天。

别再迷信先写好脚本再拍

太假,太油,太像汇报材料,今天的核心竞争力是活人感。

吃饭、开会、吵架、出差、vibe coding、真实体验,随时把镜头打开。内容不是憋出来的,是生活里长出来的。

脚本也不是AI编出来的,是你自己真正用过、踩过、痛过以后长出来的。

你连镜头都不敢怼在自己脸上,还用传统说教口吻装大V,活该接不到广告。

图文到视频,不是形式变化,是媒介重构

报纸到微博,死一半。

微博到公众号,又死一半。

公众号到短视频,更是九死一生。

传统文字逻辑讲究完整、严密、层层递进,视频逻辑拼的是在场感、临场感和视觉锚点。

观众不是来看你的观点摘要,观众是来看你这个人,到底值不值得信任。

肉身不介入,信任就不会发生。

我们WeGet联盟拿到大结果的,都是有趣灵魂的独特个体。

人到中年,花过几千万学费,背上几百万债,才明白一件事:

扮演精英,是最蠢的。

别再穿着马甲西装,端着创始人架子,假装自己在做很高级的事情。让自己有趣,做有杠杆的赛道,仅此。

商业只分两种钱:一种是靠IP、信任和杠杆赚的高利润钱。一种是靠人力、垫资、时间和低效交付换来的辛苦钱。

能赚第一种白f钱,就不要沉迷第二种白c钱。

几万个号,几千个能上台面的,几百个有点商业化的,几十个真正有结果的。这个赛道,既卷也不卷。

渡不了自己,就别谈渡众生。

自媒体运营必须厘清三个场域

舆论场看口碑。

流量场看数据。

信任场看转化。

这三者不一定正相关,很多时候甚至反着来。

一个国民级IP,流量很大,舆论场可能全是争议。

一个垂直赛道专家,播放量只有几百,但10个核心客户里能转化7个。

真正的商业闭环,不是全网认识你,而是关键的人信你。

这正是我从6年前就义无反顾做视频号的核心底层。

视频号最被低估的价值,是社交背书

它不是一个纯沉迷平台,而是一个信任扩散平台。爱心赞不是普通点赞,它带着熟人关系、圈层背书和社交资产。

所以视频号上能跑通的内容,必须有高信息密度,也必须具备社交货币属性。

别人为什么愿意点赞?因为他点赞的不只是你的视频。

他点赞的是自己的判断力、身份感和朋友圈人设。

他不是为你点赞,他是在为自己点赞

替我探索,替我自由、替我说话。

听懂不用掌声,悄摸的去干吧!

注:文/潘越飞,文章来源:锌财经(公众号ID:xincaijing),本文为作者独立观点,不代表亿邦动力立场。

文章来源:锌财经

广告
微信
朋友圈

FAQ回顾

AI发展对内容行业有什么影响?

AI已经抹平80%的基础能力,会消灭平庸的脑力劳动但不会消灭创意。内容从业者要么走极致效率路线,搭建AI工作流批量产出内容,要么走极致独特路线,打造真人真实体验、判断、创意等核心竞争力,卡在中间的从业者会被系统性清洗。

内容行业未来的主流组织形态是什么?

未来大部分内容公司的终局不是规模化机构,而是超级IP加AI算力加极轻组织的模式,跑通的超级个体利润率可能碾压多数上市公司。过去规模化、标准化的机构化玩法已不适用于当前周期,人员冗余反而会成为企业负债。

内容创业者商业变现要注意什么?

内容创业者不要迷信流量红利,要重点经营信任场,信任才是决定转化的核心。要打造有活人感的内容,不要拘泥于固定脚本,重视内容的视觉品相,脱离人情交易逻辑,靠内容、创意和实际转化效果在公开市场竞争。

视频号的核心商业价值是什么?

视频号的核心价值是社交背书,属于信任扩散平台而非纯娱乐平台,用户点赞行为自带熟人关系、圈层背书和社交资产。能在视频号跑通的内容需要兼具高信息密度和社交货币属性,更容易实现精准的商业转化。

这么好看,分享一下?

朋友圈 分享

APP内打开

赞 +1
+1
微信好友 朋友圈 新浪微博 QQ空间
关闭
收藏成功
发送
/140 0