Type of Job:

White collar
Generative AI will change many white-collar jobs by automating tasks or enhancing work. Highly educated roles may face the most impact, while blue-collar jobs will likely grow in demand.

What Constitutes Artificial intelligence (AI)?

Artificial Intelligence (AI) is a technology that allows systems, whether software or machine-based, to autonomously make predictions, recommendations, or decisions that impact both real and virtual environments without the need for constant human guidance or intervention.

Sources

Author:

Juan D. Montoya

Juan D. Montoya

Economist and AI researcher.

Will Energy Engineers be replaced by AI & Robots?

Energy Engineers, Except Wind and Solar risk of being automated:

Medium

This job has a medium likelihood of substantial automation within the next 20 years, placing it in the third quartile for automation probability among occupations.

Current Degree of Automation:

26
(1-100)

Source

Key findings

GenAI is poised to enhance the role of Energy Engineers by streamlining tasks like data analysis, system evaluation, and decision-making processes.

While it won’t completely transform the job, it will assist in routine tasks such as system optimization and basic data analysis.

This technology will allow professionals to focus more on complex problem-solving, critical thinking, and strategic decision-making, ultimately improving efficiency and productivity in the field.

How could AI or automation replace or complement job activities?

AI, automation, or LLMs could automate activities like digital data processing, energy consumption monitoring, energy data analysis, and energy bill verification for Energy Engineers.

For instance, AI could analyze energy data and recommend energy-saving strategies based on patterns identified in the data.

Job description

Design, develop, or assess energy projects to save money or enhance energy efficiency in construction projects. Specialize in areas like electrical systems, HVAC systems, green buildings, lighting, air quality, or energy procurement.

Consequence of Making Errors

39

(1-100)

Moderately serious Source
Error consequences for Energy Engineers in marketing are not key to automation predictions; focus on tasks and tech potential instead.

How Repetitive is the Job?

43

(1-100)

Fairly important Source
Automation in energy engineering frees up time from repetitive tasks, allowing engineers to tackle complex problems and gain contextual insights. While it can enhance job quality by removing hazardous tasks, automating fulfilling work may reduce it.
Average Anual salary USD$
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Number of profesionals in USA
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