Type of Job:

White collar
Generative AI will change white-collar jobs by automating tasks and enhancing productivity. Highly educated roles are most affected, while blue-collar jobs may see increased demand and pay.

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 Remote Sensing Scientists and Technologists be replaced by AI & Robots?

Remote Sensing Scientists and Technologists 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:

41
(1-100)

Source

Key findings

GenAI is poised to enhance the work of remote sensing scientists and technologists by streamlining routine tasks like data analysis and system optimization.

It will improve efficiency in tasks such as market analysis and predictive modeling, allowing professionals to focus on complex problem-solving and critical thinking.

While AI will assist in tasks like coding and debugging, it will not fully transform the role, as human judgment and decision-making remain essential.

GenAI’s impact will be felt in simplifying data access, enhancing user support through chatbots, and aiding in information retrieval for faster decision-making.

The future of work for remote sensing professionals will be marked by increased automation and AI assistance, but the core skills of reading comprehension, critical thinking, and complex problem-solving will continue to be crucial.

How could AI or automation replace or complement job activities?

While AI, automation, or LLMs like ChatGPT could not fully replace Remote Sensing Scientists and Technologists, they could enhance processes.

For instance, automating image data compilation or developing new analytical techniques could improve efficiency.

These technologies may streamline tasks but cannot replicate the critical thinking and decision-making skills essential in managing and analyzing remote sensing data.

Job description

Utilize remote sensing principles and methods to analyze data and address issues in fields like natural resource management, urban planning, or homeland security. The individual may also create new sensor systems, analytical techniques, or applications for existing systems.

Consequence of Making Errors

38

(1-100)

Moderately serious Source
Error consequences in marketing roles like Remote Sensing Scientists don't directly indicate automation potential.

How Repetitive is the Job?

57

(1-100)

Important Source
Jobs like Remote Sensing Scientists often involve repetitive tasks, making them more prone to automation. However, it's likely that only specific tasks will be automated, not the entire role, allowing for new possibilities ahead.
Average Anual salary USD$
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Number of profesionals in USA
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