近日，一则‘骑手因嫌出餐太慢，自己动手制作餐品’的视频在网络上引发热议。事件发生于某外卖平台合作餐厅，当时正值午间高峰，订单积压严重。一名外卖骑手在等待近20分钟后仍未取到餐，情绪焦躁之下竟直接进入后厨，拿起食材和工具开始自行配餐。视频中，他熟练地打包米饭、配菜，甚至模仿厨师动作翻炒，引得围观顾客哄笑。这一行为虽看似荒诞，却折射出当前外卖行业普遍存在的效率压力。骑手受平台算法驱动，需在极短时间内完成取送，而商家出餐延迟直接影响其收入与评分。与此同时，餐饮商家也面临人力紧张、高峰期产能不足等现实困境。双方在系统夹缝中互相埋怨，实则都是平台经济模式下的‘打工人’。专家指出，此类极端个案暴露出平台规则缺乏弹性、供需匹配机制不完善等问题。长远来看，应优化配送算法，建立更合理的缓冲机制，并加强商家与骑手之间的沟通协作，而非将压力全部转嫁给一线劳动者。毕竟，再快的骑手也无法替代厨房里的厨师。
Recently, a video showing a food delivery rider making his own meal after complaining about slow kitchen service went viral online. The incident occurred at a restaurant partnered with a major food delivery platform during the busy lunch rush. After waiting nearly 20 minutes without receiving his order, the frustrated rider entered the kitchen himself, grabbed ingredients and utensils, and began assembling the meal. In the video, he skillfully packed rice and side dishes—and even mimicked a chef’s stir-frying motion—drawing laughter from onlookers.While seemingly absurd, this act highlights the intense time pressure pervasive in today’s gig economy. Delivery riders operate under rigid algorithm-driven schedules, where delayed kitchen output directly impacts their earnings and performance ratings. Meanwhile, restaurants struggle with understaffing and limited capacity during peak hours. Both parties, caught between systemic constraints, often blame each other—yet both are essentially frontline workers within the same platform-driven ecosystem.Experts argue that such extreme cases reveal flaws in inflexible platform rules and inefficient supply-demand coordination. Long-term solutions should include optimizing delivery algorithms, introducing reasonable time buffers, and fostering better communication between riders and restaurants—rather than shifting all operational stress onto frontline workers. After all, no matter how fast a rider is, they can’t replace a trained chef in the kitchen.
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