电工
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计算自动化风险
最小风险(0-20%):这一类别的职业被自动化的可能性较低,因为它们通常需要复杂的问题解决能力,创造力,强大的人际交往能力和高度的手动灵巧。这些工作通常涉及复杂的手部动作和精确的协调,使得机器难以复制所需的任务。
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
我们的访客投票表示,这个职业被自动化的可能性极小。 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7%的机会实现自动化。
你认为自动化的风险是什么?
电工在未来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(每年)的情绪变化
增长
预计"Electricians"的工作空缺数量将在2033内增长10.8%
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,'Electricians'的年度中位数工资为$61,590,或每小时$29。
'Electricians'的薪资比全国中位工资高28.2%,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712,580人被雇佣为'Electricians'。
这代表了全国就业劳动力的大约0.47%
换句话说,大约每213人中就有1人被雇佣为“Electricians”。
工作描述
安装、维护和修理电线、设备和固定装置。确保工作符合相关规范。可能需要安装或维修路灯、对讲系统或电气控制系统。
SOC Code: 47-2111.00
资源
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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https://www.yahoo.com/lifestyle/humanoid-robots-cleaning-house-serving-204050583.html
This will happen shortly.
Buildings are constructed in a way that are not standardized. Sure some facilities could be engineered in such a way that would make robotics possible to work in, but I think this is a long way off. By the time Electricians are automated most jobs will be automated. I mean robots/Ai could do basic level clerical work before electrical construction/maintenance. I think some parts of this industry will be automated. Maybe running 500 mile lines can be done by some machines, but even so there will still need to be some kind of human supervision.
We're just not there yet. We won't be there for a while. As dumb as most construction jobs seem, they will probably be automated so far out from now that entry level lawyers have more to worry about since chatgbt can probably do basic level legal research. No machine is capable of doing much aside from maybe doing some basic prep work, which that is hardly going to replace an electrician as of now.
If anything it will just speed up jobs and potentially lower the industry, but I really don't see it making a big difference anytime soon.
So I wouldn't worry just yet in regards to the immediate future.
The next 2 decades though, im not sure.
Reading comprehension went from not possible to human-level in a few years.
https://ourworldindata.org/uploads/2022/12/AI-performance_Dynabench-paper-2048x921.png
Personally, I don’t think you can really assess the ability of this field to be automated unless you understand the actions we take to avoid getting shocked, to avoid breaking things, and the volume of equipment we use. It takes two years in trade school and four years in an apprenticeship to create a qualified electrician and even then, they are always learning. Expecting machines to pick up this work within even forty years, assuming technology keeps progressing linearly, is pretty unlikely.
I hope I’m not jinxing myself here but this does seem pretty stupid. I’m a smart guy and I routinely feel like an idiot on the job because there’s just so much to grasp and handle. Expecting a machine to be able to understand, let alone contextualize, and further implement this information is completely fantastical.
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