Type of Job:

White collar
Generative AI will likely change white-collar jobs by automating tasks or enhancing work. Highly educated roles may face more impact, while blue-collar jobs might see increased demand instead.

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 Wind Energy Engineers be replaced by AI & Robots?

Wind Energy Engineers risk of being automated:

Low

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

Current Degree of Automation:

20
(1-100)

Source

Key findings

Wind Energy Engineers harness the power of the wind to generate electricity.

They use skills like critical thinking, mathematics, and science to design and optimize wind energy systems.

GenAI is set to enhance their work by automating routine tasks like data analysis and system optimization, allowing engineers to focus on complex problem-solving and innovation.

While AI will streamline processes and improve efficiency, it won’t completely transform the role of Wind Energy Engineers, as human expertise and creativity remain essential in this field.

How could AI or automation replace or complement job activities?

While AI, automation, or advanced language models like Chatgpt could enhance processes for Wind Energy Engineers, they may not fully replace the human touch needed in activities such as optimizing wind farm layouts or providing technical support for prototype turbines.

These technologies could improve efficiency in tasks like designing access roads or testing equipment, but the engineer’s expertise in analyzing performance, ensuring compliance, and problem-solving remains crucial.

For instance, AI could assist in modeling wind farm layouts for optimal performance, but human engineers would still be essential in interpreting and implementing these models effectively.

Job description

Designing underground or overhead wind farm collector systems and preparing site specifications.

Consequence of Making Errors

41

(1-100)

Moderately serious Source
The seriousness of errors in wind energy engineering doesn't directly indicate automation potential in marketing roles.

How Repetitive is the Job?

41

(1-100)

Fairly important Source
Automation in wind energy engineering frees up time from repetitive tasks, allowing engineers to tackle complex problems and gain contextual insights. While it enhances job quality by removing hazardous duties, automating fulfilling tasks may reduce job satisfaction.
Average Anual salary USD$
#

Source

Number of profesionals in USA
#

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