收银员
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计算自动化风险
迫在眉睫的风险（81-100%）：这个等级的职业在不久的将来有极高的可能被自动化。这些工作主要包括重复性高、可预测的任务，几乎不需要人类的判断。
有关这个分数是什么以及如何计算的更多信息可在这里找到。
用户投票
我们的访客投票认为，这个职业很可能会被自动化。 这个评估进一步得到了通过计算得出的自动化风险等级的支持，该等级预计有88%的机会实现自动化。
你认为自动化的风险是什么？
收银员在未来20年内被机器人或人工智能取代的可能性有多大？
情感
以下图表在有大量投票数据时会显示。这些可视化图表展示了用户投票结果随时间的变化，提供了情感趋势的重要指示。
随着时间的推移的情绪（季度）
随着时间（每年）的情绪变化
增长
预计到2033，"Cashiers"职位的空缺数量将减少10.6%。
总就业人数和预计的职位空缺
更新的预测将在09-2024到期.
工资
在2023，'Cashiers'的年度中位数工资为$29,720，或每小时$14。
' Cashiers '的薪酬比全国中位工资低38.2%，全国中位工资为$48,060。
随着时间推移的工资
体积
截至2023，在美国有3,298,660人被雇佣为'Cashiers'。
这代表了全国就业劳动力的大约2.2%
换句话说，大约每46人中就有1人被雇佣为“Cashiers”。
工作描述
在非金融机构的场所接收和支付款项。可能会使用电子扫描仪、收银机或相关设备。可能会处理信用卡或借记卡交易，并验证支票。
SOC Code: 41-2011.00
资源
在您的本地区搜索工作岗位
如果您正在考虑开始新的职业生涯，或者想要换工作，我们已经为您创建了一个方便的工作搜索工具，它可能会帮助您找到那个完美的新角色。
评论
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Also most cashiers aren't only cashiers where i live at least
Say Walmart.. These cashiers will be replaced by the customers whom they currently serve. IT is already happening.
McDonalds and the like: These will most likely be replaced by inhuman automation, and most people will not even care as these people are the ones who brought it on themselves thinking that they DESERVE to make more per hour than someone who actually has a skill set. THIS TOO, is already starting to happen, and as I thought, most people are more than happy to do this task on their own.
At Walmart however, people are a little upset that self serve is overtaking jobs. Kinda cool how that works.
Karma Baby!
My position required asking if a customer has an account or the benefits of taking a servey. A person who doesn’t understand English might also misinterpret the robot if it’s not built to accommodate their language. Robots can also misinterpret speech impediments, or even alternative augmented communications. Sudden glitches can exacerbate this.
However, some English native speakers are very skilled in understanding and communicating with ppl who don’t speak English compared to the average English native speaker not familiar with their language. You don’t have to be familiar with a person’s native language in order to precisely interpret accents or charades, that is, better than other English native speakers, with or without writing. I could make some of those non English speaking customers understand that they’re being asked about a store account and that they can win money from a survey, with or without writing, and I don’t share an ethnic background with most of those customers. This can make the buying process quicker and less frustrating with human interaction.
Many of the customers mentioned have English speaking relatives or translators, and PCs have translators in virtually every language. The US has no official languages, so they find a way to maneuver without speaking English. Unlike PCs, store computers only have Spanish and English. (I was exposed to people from all continents.)
Verbal communication and body language are the most vital keys to cashiering with people if all languages, and that’s why we still have human cashiers.
Our inventory computer system renews every night and is thus sometimes not accurate, so an empathetic humanistic voice may calm a customer.
A number of native English speakers fear AI replacing cashiers, whether it’s machine breakdown, misinformation, possible machine complexity, or political motivation later in the future (since they might become more human like but won’t get paid, or have some disadvantageous algorithmic agenda.) In the future, customers may feel more comfortable attacking the machine than another person.
Sorry joke. In fact you're right. Most people quit their job because of a bad boss, not because of the job.
So, there would still need to be at least one human employed in every restaurant to handle complaints by customers who didn't get their orders -- such as the manager.
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