Type of Job:

White collar
Generative AI will change white-collar jobs by automating tasks, enhancing productivity, or reshaping roles. Highly educated jobs face the most risk, while blue-collar jobs may thrive.

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 Development Managers be replaced by AI & Robots?

Wind Energy Development Managers 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:

14
(1-100)

Source

Key findings

GenAI will impact the work of Wind Energy Development Managers by enhancing data analysis, decision-making, and content creation processes.

It will streamline tasks like system evaluation, data literacy, and critical thinking.

While AI will not completely transform their work, it will augment their skills in managing resources, personnel, and complex problem-solving.

GenAI’s ability to generate text, multimedia content, and streamline information retrieval will revolutionize how Wind Energy Development Managers operate, improving efficiency and productivity.

How could AI or automation replace or complement job activities?

AI, automation, or LLMs like ChatGPT could automate tasks such as digital data processing, operations monitoring, and information ordering for Wind Energy Development Managers.

These technologies could streamline project planning, cost management, and subcontractor supervision.

For instance, AI could analyze environmental studies and recommend optimal locations for wind farms, enhancing efficiency and accuracy in decision-making.

Job description

Leads the development and assessment of possible wind energy business opportunities, such as environmental studies, permits, and proposals. May also oversee project construction.

Consequence of Making Errors

34

(1-100)

Not serious at all Source
The error consequences for Wind Energy Development Managers are minor, making it less relevant to predict automation trends.

How Repetitive is the Job?

32

(1-100)

Not important at all Source
Automation in wind energy management frees up time for tackling complex issues and gaining context. It boosts job quality by replacing hazardous tasks, but may hurt it if it automates fulfilling ones.
Average Anual salary USD$
#
Number of profesionals in USA
#

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Do you think Wind Energy Development Managers will be replaced by AI?

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