Electricians
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Calculated automation risk
Minimal Risk (0-20%): Occupations in this category have a low probability of being automated, as they typically demand complex problem-solving, creativity, strong interpersonal skills, and a high degree of manual dexterity. These jobs often involve intricate hand movements and precise coordination, making it difficult for machines to replicate the required tasks.
More information on what this score is, and how it is calculated is available here.
User poll
Our visitors have voted there's a minimal chance this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 7% chance of automation.
What do you think the risk of automation is?
What is the likelihood that Electricians will be replaced by robots or artificial intelligence within the next 20 years?
Sentiment
The following graph is included wherever there is a substantial amount of votes to render meaningful data. These visual representations display user poll results over time, providing a significant indication of sentiment trends.
Sentiment over time (yearly)
Growth
The number of 'Electricians' job openings is expected to rise 10.8% by 2033
Total employment, and estimated job openings
Updated projections are due 09-2024.
Wages
In 2023, the median annual wage for 'Electricians' was $61,590, or $29 per hour
'Electricians' were paid 28.2% higher than the national median wage, which stood at $48,060
Wages over time
Volume
As of 2023 there were 712,580 people employed as 'Electricians' within the United States.
This represents around 0.47% of the employed workforce across the country
Put another way, around 1 in 213 people are employed as 'Electricians'.
Job description
Install, maintain, and repair electrical wiring, equipment, and fixtures. Ensure that work is in accordance with relevant codes. May install or service street lights, intercom systems, or electrical control systems.
SOC Code: 47-2111.00
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Comments
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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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