Research from Georgia State University reveals a complex picture of AI's impact on jobs. While some forms of automation, particularly in repetitive tasks, are displacing workers in industries like farming and construction, AI tools focused on creativity, learning, and engagement are leading to job growth in white-collar sectors such as finance, engineering, design, and entertainment. This illustrates that AI is not uniformly negative or positive for the job market, and its effects depend heavily on the specific skills and tasks involved.
The impacts of AI upon the job market vary depending on which of those seven types of tasks the model has been trained to perform.
Different kinds of AI significantly affect different jobs, with engagement, learning, and creativity-focused AI boosting employment while others lead to displacement.
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