2026年8月27日｜当人类和机器人开始抢时间

作者： Xufen Tu 记录类型： Public Observation Record 主题： Human Labor · Robotics · AI Era

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今天跟着朋友的车，体验了一次送外卖的感觉。以前看外卖，只是看到手机上的订单、地图上的路线、门口的一袋食物，或者街上来来往往的送餐车。可是坐在车里跟着走一遍以后，感觉完全不一样。外卖不是一个简单的“把东西从餐馆送到客人手里”的动作，它里面有时间、路线、等待、停车、天气、身体、平台规则、客户情绪、餐馆速度，还有一个人在城市里不断移动的压力。

外卖确实解决了不少人的工作问题。很多人靠它获得现金流，靠它补贴生活，靠它在没有更稳定工作的时候先把日子撑起来。它不一定轻松，也不一定体面，但它给了很多人一个入口：只要愿意跑，只要有车、有时间、有体力，就还能用自己的劳动换取收入。对很多移民、学生、临时失业的人，或者暂时找不到合适工作的人来说，这种工作很现实，也很重要。

可是今天坐在车里，我也一直在想，如果未来机器人、自动驾驶车、无人配送系统越来越成熟，这些工作会变成怎样？如果餐馆出餐、系统派单、路线规划、自动配送都可以越来越快，人类送外卖的人会不会被挤到更边缘的位置？今天人还在和平台时间赛跑，未来会不会变成人和机器人抢时间？

这个画面让我想到一种很赛博朋克的城市感。夜晚、订单、路线、灯光、手机提醒、平台倒计时、餐馆后厨、停车位、楼号、门禁、客户备注，一个人在城市里像节点一样移动。现在这个节点还是人，有情绪、有疲惫、有判断、有身体风险。未来如果机器人进入同样的路线，城市可能会更快、更整齐、更自动，但也可能更冷。人类劳动会不会被迫退到机器人暂时做不了、或者人类仍然更有价值的地方？

也许未来真正变化的不是“人类都没事做了”，而是人类做的事情会被重新分层。机器可能更适合重复路线、标准配送、固定流程、无人仓储和稳定场景。可是人类仍然可能在味道、现场判断、特殊需求、关系维护、手工制作、服务温度和复杂情况里有位置。也许以后最普通的食物配送会被机器压缩，而真正有价值的人类劳动，会更多回到“做饭的人”“创造不同美食的人”“理解客户口味的人”“能处理突发情况的人”。

这让我想到，外卖表面上是配送行业，其实连接的是整个城市里的生活结构。有人做饭，有人点餐，有人送达，有人评价，有平台计算路线，有餐馆承担出餐压力，有司机承担时间压力。AI 和机器人如果进入这个系统，替代的不只是一个职业动作，而是重新分配时间、收入、风险和责任。谁节省了时间？谁失去了收入？谁承担机器出错的后果？谁还保留人的判断位置？这些问题不会因为技术更快就自动消失。

今天我更明显地感到，很多人的工作不是因为它高级才重要，而是因为它真实地支撑着生活。送外卖的人不只是一个平台上的“运力”，也是一个正在用时间、身体和风险换生活的人。系统看到的是路线和效率，客户看到的是送达速度，餐馆看到的是取餐窗口，可是坐在车里以后，会更容易看到中间那个人。他要判断哪里能停车，要确认地址，要看手机，要赶时间，要承受等待，也要在疲惫里继续下一单。

如果未来机器人替代这部分工作，社会不能只庆祝效率提高。效率提高当然好，但人的出口在哪里也很重要。一个工作被替代以后，人不是自动升级成更好的工作者。人需要学习，需要转向，需要新的入口，需要时间，也需要被允许从原来的劳动经验里找到新的价值。否则，技术进步可能变成一部分人节省时间，另一部分人失去时间价值。

也许未来人类更需要回到那些不容易被完全标准化的能力里。比如真正会做饭，真正懂口味，真正能把地方特色、家庭味道、文化记忆和个人审美做出来。机器可以配送一份饭，但它不一定知道为什么一个人在某个夜晚特别想吃某一种味道；系统可以推荐最优路线，但它不一定理解食物对人的意义。食物不是单纯的热量，也不是单纯的商品。它有记忆，有关系，有情绪，有地方，也有人的手。

这并不是说机器人不好。机器人如果能减少危险驾驶，减少重复劳动，提高配送效率，也有它的价值。问题在于，人类不能只被留在和机器拼速度的位置上。如果未来城市让人和机器人竞争谁更快、谁更便宜、谁更不休息，那人很难赢。人不是为了和机器比谁更像机器而存在。人的价值不应该只剩下更快送达、更低成本、更长工作时间。人更应该进入那些需要判断、需要创造、需要责任、需要真实接触的地方。

这件事和我一直关注的人类判断也有关系。AI 和机器人可以优化路径，但不能替社会判断一个工作消失以后人应该去哪里。平台可以计算效率，但不能替人类社会回答劳动尊严如何保留。自动配送可以缩短时间，但不能自动解决收入、信任、责任和社区关系。技术让城市运转更快以后，人类更需要问：哪些工作可以被替代，哪些能力需要被重新培养，哪些人的生活不能被简单地当作成本从系统里删除。

今天这次坐车体验，让我更具体地看见了 AI 时代的劳动变化。它不是遥远未来才会出现的问题，而是已经在很多普通工作旁边慢慢发生。外卖、司机、客服、仓库、收银、文员、设计、写作、翻译，这些工作都在被重新比较。人类未来也许不会完全失去工作，但会越来越需要从“执行任务的人”转向“创造价值、判断情境、承担责任、提供真实体验的人”。

今天留下的问题是：当机器人和 AI 越来越能完成配送、路线、客服和标准化流程时，人类怎样才能不只是和机器抢时间，而是在味道、创造、判断、关系和责任中重新找到不可替代的位置？

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August 27, 2026 | When Humans and Robots Begin Competing for Time

Today, I followed a friend in the car and experienced what food delivery feels like. In the past, when I looked at food delivery, I only saw orders on a phone, routes on a map, a bag of food at the door, or delivery vehicles moving through the streets. But after sitting in the car and following the process once, the feeling was completely different. Food delivery is not simply the act of moving something from a restaurant to a customer. Inside it are time, routes, waiting, parking, weather, the body, platform rules, customer emotions, restaurant speed, and the pressure of a person constantly moving through a city.

Food delivery has indeed provided work for many people. Many people rely on it for cash flow, to support daily life, and to keep going when they do not yet have a more stable job. It may not be easy, and it may not always be respected, but it gives many people an entry point: as long as someone is willing to drive, has a car, has time, and has physical energy, they can still exchange labor for income. For many immigrants, students, temporarily unemployed people, or people who cannot yet find suitable work, this kind of work is very real and very important.

But while sitting in the car today, I kept thinking: if robots, autonomous vehicles, and unmanned delivery systems become more mature in the future, what will happen to these jobs? If restaurant preparation, platform dispatching, route planning, and automated delivery all become faster, will human delivery workers be pushed further to the margins? Today, humans are racing against platform time. In the future, will humans be competing with robots for time?

This scene gave me a very cyberpunk feeling of the city. Night, orders, routes, lights, phone notifications, platform countdowns, restaurant kitchens, parking spaces, building numbers, gate codes, customer notes — a person moves through the city like a node. Right now, that node is still human, with emotion, fatigue, judgment, and physical risk. If robots enter the same routes in the future, the city may become faster, more orderly, and more automated, but it may also become colder. Will human labor be forced back into the places robots cannot yet do, or where humans still hold greater value?

Perhaps the real change in the future is not that humans will have nothing to do, but that human work will be re-layered. Machines may be better suited for repeated routes, standard delivery, fixed processes, unmanned storage, and stable scenarios. But humans may still have a place in taste, on-site judgment, special needs, relationship maintenance, handmade food, service warmth, and complex situations. Perhaps ordinary food delivery will be compressed by machines, while the more valuable human labor will return to the person who cooks, creates different kinds of food, understands customer taste, and handles unexpected situations.

This made me think that food delivery appears to be a delivery industry, but it actually connects the living structure of an entire city. Someone cooks, someone orders, someone delivers, someone evaluates, a platform calculates routes, restaurants bear preparation pressure, and drivers bear time pressure. If AI and robots enter this system, what is being replaced is not only one occupational action, but a redistribution of time, income, risk, and responsibility. Who saves time? Who loses income? Who bears the consequences when machines make mistakes? Who still preserves human judgment? These questions do not disappear simply because technology becomes faster.

Today, I felt more clearly that many jobs are important not because they are prestigious, but because they truly support life. A delivery worker is not only “capacity” on a platform. They are a person using time, body, and risk to support life. The system sees routes and efficiency. The customer sees delivery speed. The restaurant sees the pickup window. But after sitting in the car, it becomes easier to see the person in the middle. That person must judge where to park, confirm the address, watch the phone, rush against time, endure waiting, and continue to the next order while tired.

If robots replace this part of work in the future, society should not only celebrate improved efficiency. Efficiency is valuable, but where people go afterward is also important. When a job is replaced, a person does not automatically become upgraded into a better worker. People need learning, transition, new entry points, time, and permission to find new value from their previous labor experience. Otherwise, technological progress may become one group of people saving time while another group loses the value of their time.

Perhaps humans will increasingly need to return to abilities that are not easy to standardize completely. For example, truly knowing how to cook, truly understanding taste, and truly being able to create local flavor, family memory, cultural experience, and personal aesthetics. A machine can deliver a meal, but it may not know why someone especially wants a certain taste on a certain night. A system can recommend the optimal route, but it may not understand what food means to people. Food is not only calories, nor only a commodity. It carries memory, relationship, emotion, place, and human hands.

This does not mean robots are bad. If robots can reduce dangerous driving, reduce repetitive labor, and improve delivery efficiency, they have value. The issue is that humans should not be left only in the position of competing with machines for speed. If future cities make humans and robots compete over who is faster, cheaper, and able to work longer without rest, humans will have difficulty winning. Human beings do not exist in order to become more machine-like than machines. Human value should not be reduced to faster delivery, lower cost, and longer working hours. Humans should move into places that require judgment, creation, responsibility, and real contact.

This also connects to my ongoing concern with human judgment. AI and robots can optimize routes, but they cannot decide for society where people should go after a job disappears. Platforms can calculate efficiency, but they cannot answer for human society how dignity in labor should be preserved. Automated delivery can shorten time, but it cannot automatically solve income, trust, responsibility, and community relationships. When technology makes cities operate faster, humans need to ask more clearly: which jobs can be replaced, which abilities need to be cultivated again, and which people’s lives cannot simply be removed from the system as costs.

Today’s experience in the car allowed me to see labor change in the AI era more concretely. This is not a problem that will only appear in a distant future. It is already slowly happening beside many ordinary jobs. Delivery, driving, customer service, warehousing, cashier work, office administration, design, writing, and translation — all of these are being compared again. Humans may not completely lose work in the future, but they will increasingly need to move from being people who execute tasks to people who create value, judge situations, bear responsibility, and provide real experience.

The question I am left with today is this: when robots and AI become increasingly capable of delivery, routing, customer service, and standardized processes, how can human beings avoid merely competing with machines for time, and instead rediscover irreplaceable positions through taste, creation, judgment, relationships, and responsibility?