AI grifters are creating fake Black people to sell Shein junk AI骗子正在利用假黑人推销Shein垃圾产品

This isn't just another story about dropshipping scams or the uncanny valley of AI avatars. It represents a grim evolution in social commerce, where synthetic personas are weaponizing the very real, painful narratives of marginalized groups to drive impulse purchases. The AI woman in the cowboy gear, crying about her "handmade" belt buckle business, is performing a hollow pantomime of Black female entrepreneurship. She’s mining the genuine struggles of small business owners, the specific obstacles faced by women of color, and the platform-driven hope that a viral moment can save a livelihood. Except here, there’s no livelihood to save, no craftsperson behind the stall—only a script designed to trigger a sympathetic click and a sale.

The core discomfort lies in the profound cynicism. These AI constructs are built on a feedback loop of human data, likely trained on the exact kind of authentic, vulnerable content they now mimic. They observe that stories of hardship, resilience, and identity resonate and convert, then produce a optimized, emotionless facsimile. The result is a kind of cultural and emotional strip-mining. Real people’s lived experiences become data points to train a synthetic actor who then re-packages those experiences as a sales tool, divorced from all truth and consequence. It’s exploitation layered on exploitation.

What does this do to the social fabric of these platforms? Trust, already fragile, erodes further. When a user sees a person crying over their failing small business, their instinct to help—to at least watch, to share, maybe to buy—is a social good. It’s human solidarity. This AI tactic systematically poisons that well. It trains viewers to become cynical, to second-guess every tear, every personal story. The real small business owner, genuinely struggling, now competes not just for attention, but for basic belief. They have to overcome a new layer of skepticism engineered by their synthetic rivals.

And the platforms themselves are trapped in a paradox. Their algorithms are built to maximize engagement, which often means amplifying emotional, high-arousal content. The AI-generated sob stories are algorithmically perfect. They are engineered to hit the precise notes of conflict, personal struggle, and relatable aspiration that make people stop scrolling. To a platform’s metrics, a viral AI influencer crying about belt buckles and a real artisan sharing a vulnerable moment are identical—both generate watch time. This creates a perverse incentive structure where the most manipulative, least authentic content can be the most rewarded. The systems aren’t built to value truth; they’re built to value attention.

This also forces a uncomfortable question about authenticity itself in the age of AI. If an AI can perfectly simulate the emotional language of struggle and identity, what is the value of the real experience? The danger isn’t just that people might buy a cheap buckle they didn’t need. It’s that the repeated exposure to simulated, commercialized pain dulls our collective response to the real thing. We become habituated. The crying face becomes a sales trope, not a human moment. It’s an emotional inflation that devalues the currency of genuine human expression.

Looking ahead, this is likely just the primitive version. As generative video and voice tech improves, these synthetic influencers will become indistinguishable from humans. The narratives will become more nuanced, targeting even more specific micro-communities and anxieties. The regulation and platform policy, as usual, will lag. The burden will fall on users to become forensic analysts of emotion, and on real creators to constantly prove their own humanity. It’s a bleak trajectory where the most human aspects of our online interactions—our empathy, our desire to support the underdog—become the primary attack surface for automated manipulation. The belt buckle is just the cheap, shiny hook. The catch is our trust.

屏幕上的Aliyah在哭泣，恳求着流量与支持。她讲述着作为一名黑人女性的创业不易，画面细腻，情感真挚。然而，这整个叙事都是一个谎言——她并非真人，而是一个AI生成的虚拟形象；她的眼泪是为转化率服务的算法产物，那些“手工皮带扣”不过是某个工厂流水线上沉默的金属片。这则报道撕开的，不仅仅是一个个简单的骗局，更是一个在生成式AI时代下被迅速重构的电商信任生态。

过去，我们在社交媒体电商中警惕的是夸大宣传、是货不对板。但如今，问题的核心前置了。在消费者还没来得及辨别商品真伪之前，他们首先要面对一个被深度伪造的“人”。Aliyah案例中最具破坏力的，不是皮带扣本身，而是她被赋予的叙事：一个被边缘化的黑人女性、一个挣扎的手工艺人。这种叙事精准地刺中了当下社会关于身份政治、小型企业保护的情绪痛点。AI在这里扮演的角色，不是生成冰冷的产品介绍，而是批量生产具有特定社会身份和情感共鸣的“人设”。这是一种工业化的情绪收割，将本应用于艺术创作或辅助工作的AI，异化为高效的人性弱点探测与利用工具。

从产业角度看，这标志着“代发货”这一低成本电商模式完成了它的黑化进化。代发货本身是中性的商业模式，其问题核心在于信息不透明。而AI虚拟店主的加入，将信息不对称推向了极致。它同时解决了代发货的两大软肋：信任建立成本和内容生产成本。一个逼真的、有故事的AI形象，远比一个匿名店铺更能快速建立消费者的情感连接与初步信任；同时，它可以24小时不间断地生成无数个不同背景、不同遭遇的“店主”视频，成本近乎于零。这使得欺诈行为可以规模化、自动化、个性化地复制，每一个消费者都可能遇到为其量身定制的“悲情故事”。

更值得深思的是平台与消费者的双重困境。平台的内容审核算法，擅长识别色情、暴力、违禁品，但对于这种融合了真实社会议题（种族、性别、创业艰难）、包裹在精致画面中的情感欺诈，其识别能力尚在初期。而当一个故事足够“正确”（例如为少数族裔发声），平台的处置也可能变得更加棘手。对消费者而言，尤其在强调支持本地、支持手工艺、支持弱势群体的消费文化氛围下，他们购买的已不仅仅是商品，更是一种价值观的确认和情感支持。AI骗局正是利用并玷污了这种宝贵的善意，其长期危害可能远超简单的经济损失——它会侵蚀公众对于社交媒体上真实创业故事的普遍信任，让那些真正需要曝光的小店主更难被看见。

所以，当我们谈论AI电商乱象时，不要只盯着“图片是假的”、“评论是刷的”这些老问题。Aliyah的眼泪提醒我们，最坚固的商业信任，如今正面临最无形的攻击。攻击者不再需要拙劣的PS，而是可以生成一整套鲜活的人生。这或许不是技术的原罪，但它无疑是技术被滥用后，投射在数字经济伦理之上的一道深刻阴影。问题已经从“如何鉴别商品”，变成了“如何鉴别一个活生生的人是否存在于你的屏幕之外”。