A new study from the Massachusetts Institute of Technology (MIT) suggests that a staggering 11.7% of US labor could potentially be replaced by artificial intelligence (AI). The researchers, who used a complex simulation to analyze data from 151 million workers, claim that current AI adoption accounts for only 2.2% of the total "labor market wage value".
In other words, while AI has already started to make an impact on certain industries and jobs, it is unlikely to have a significant impact on nearly one in every ten American workers. However, this finding does not necessarily mean that policymakers should breathe a sigh of relief. The researchers argue that the study's findings are correlational, meaning they show a relationship between AI exposure and job displacement, but do not prove causation.
In fact, the researchers suggest that policymakers need to prepare for the potential impact of AI on jobs as soon as possible. They point out that it is not necessary to wait for definitive proof of disruption before taking action, arguing that the urgency of the issue should be prioritized over methodological concerns.
The study's findings are based on a complex simulation using "Large Population Models" run on processors at the federally funded Oak Ridge National Laboratory. The researchers used this model to analyze data from 151 million workers and identified 32,000 trackable skills that could potentially be replaced by AI.
While the study's results may seem alarming, it is worth noting that human workers are unlikely to be entirely replaced by AI anytime soon. While AI can perform many tasks with high precision, humans have unique abilities that are still difficult to replicate, such as handling exceptional and non-routine situations, and providing social support.
The researchers behind the study have developed a digital twin of the US labor market using the "Project Iceberg" framework, which aims to help policymakers identify exposure hotspots, prioritize training and infrastructure investments, and test interventions before committing billions to implementation.
In other words, while AI has already started to make an impact on certain industries and jobs, it is unlikely to have a significant impact on nearly one in every ten American workers. However, this finding does not necessarily mean that policymakers should breathe a sigh of relief. The researchers argue that the study's findings are correlational, meaning they show a relationship between AI exposure and job displacement, but do not prove causation.
In fact, the researchers suggest that policymakers need to prepare for the potential impact of AI on jobs as soon as possible. They point out that it is not necessary to wait for definitive proof of disruption before taking action, arguing that the urgency of the issue should be prioritized over methodological concerns.
The study's findings are based on a complex simulation using "Large Population Models" run on processors at the federally funded Oak Ridge National Laboratory. The researchers used this model to analyze data from 151 million workers and identified 32,000 trackable skills that could potentially be replaced by AI.
While the study's results may seem alarming, it is worth noting that human workers are unlikely to be entirely replaced by AI anytime soon. While AI can perform many tasks with high precision, humans have unique abilities that are still difficult to replicate, such as handling exceptional and non-routine situations, and providing social support.
The researchers behind the study have developed a digital twin of the US labor market using the "Project Iceberg" framework, which aims to help policymakers identify exposure hotspots, prioritize training and infrastructure investments, and test interventions before committing billions to implementation.