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.
Our visitors have voted that there is a small chance this occupation will be replaced. This assessment is further supported by the calculated automation risk level, which estimates 5% chance of automation.
What do you think the risk of automation is?
What is the likelihood that this occupation will be replaced by robots or AI in the next 20 years?
The number of 'Electricians' job openings is expected to rise 7.1% by 2031
Total employment, and estimated job openings
Updated projections are due Sep 2023.
In 2022, the median annual wage for 'Electricians' was $60,240, or $28.96 per hour
'Electricians' were paid 30.1% higher than the national median wage, which stood at $46,310
Wages over time
As of 2022 there were 690,050 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 214 people are employed as Electricians.
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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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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