New MIT CSAIL study suggests that AI won’t steal as many jobs expected

In a world where artificial intelligence (AI) is widely regarded as a potential threat to human jobs, a recent study by MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) challenges this narrative. The study suggests that the majority of jobs previously identified as at risk of AI displacement are not economically beneficial to automate, at least for the time being. Contrary to some projections, the researchers propose that the impact of AI on job automation may happen slower and less dramatically than expected.

The researchers focused solely on jobs requiring visual analysis and found that only 23% of the wages being paid to humans for performing vision tasks would be economically attractive to automate with AI.

The study acknowledges several limitations, including its failure to consider cases where AI can augment rather than replace human labor or create new tasks and jobs that didn’t exist before. However, it also emphasizes the importance of preparing for AI job automation and the need to decrease the costs of AI deployments to make them economically attractive for firms to use for automation.