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Relationship between humanity and automation in the job market : the societal impact of unemployment from the technological revolution

Kärtner, Rein (2023)

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Kärtner, Rein
2023
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023051711461
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This thesis explores the relationship between automation and the human workforce. Automation has been utilized by corporations in taking care of the menial tasks in a wide range of fields, ranging from assembly to transportation. New strides in artificial intelligence, hardware and robotics bring difficulties in employing the lower-class of workers. The modern worker must accept the possibility of complete replacement or radical task augmentation through the influence of artificial intelligence. As employers are looking to maximize their profits, there is a considerable suspicion that the idea of paying a living wage to workers might not be the best choice when it comes to staying competitive.

Artificial intelligence has initially been utilized for novelty purposes, but as availability, capability and the number of AI solutions increase in the professional climate, so can the displacement of workers. This thesis focused on creating guidelines for relevancy for modern-day professionals and entrepreneurs. This project examined what kind of work becomes automated and who remains relevant when most traditional work will be taken over by AI and automation.

The result of the findings established that a reformed system of education must be considered to not alienate the general population from the rising technical boundaries of work, and that the event of a post-work society is a very small threat in the coming years. A strong recommendation for newer workers and entrepreneurs is to recognize that AI cannot completely replace the human qualities for decision-making behaviour, as evidenced by the currently existing solution. Automation and AI remain as tools to amplify human actions and make room for more specialized and creative parts of work.
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