A recent MIT study suggests that AI's impact on job displacement may be less severe than previously anticipated
1 mins
Published by: Nazarii Bezkorovainyi
16 February 2024, 12:05PM
MIT CSAIL's study suggests slower AI job disruption than anticipated.
Many jobs considered at risk may not be economically viable for AI replacement yet.
Study focuses on visual analysis tasks, indicating only a fraction are cost-effective to automate.
Humans remain economically preferable for many job aspects despite AI potential.
Researchers stress the need to prepare for AI job automation despite acknowledging limitations.
MIT CSAIL's study suggests that AI might not disrupt jobs as rapidly as previously thought. Contrary to estimates, many jobs deemed at risk of automation may not be economically viable to replace with AI yet.
The study focuses on visual analysis tasks, revealing that only a fraction of these tasks would be cost-effective to automate with current AI technology.
Like much of the recent research, we find significant potential for AI to automate tasks. But we’re able to show that many of these tasks are not yet attractive to automate.
While AI has significant potential to automate tasks, the study highlights that humans remain the better economic choice for many aspects of jobs.
However, the research acknowledges limitations, such as not considering AI's ability to augment human labor or create new tasks and jobs.
Despite being backed by MIT-IBM Watson AI Lab, researchers assert their independence, emphasizing the importance of preparing for AI job automation while recognizing that it may take years to unfold fully.
We were motivated by the enormous success of deep learning, the leading form of AI, across many tasks and the desire to understand what this would mean for the automation of human jobs
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