Artificial intelligence can’t replace the majority of jobs right now in cost-effective ways, the Massachusetts Institute of Technology found in a study that sought to address fears about AI replacing humans in a swath of industries.
In one of the first in-depth probes of the viability of AI displacing labor, researchers modeled the cost attractiveness of automating various tasks in the U.S., concentrating on jobs where computer vision was employed — for instance, teachers and property appraisers. They found only 23% of workers, measured in terms of dollar wages, could be effectively supplanted. In other cases, because AI-assisted visual recognition is expensive to install and operate, humans did the job more economically.
