Humans are still cheaper than AI for most work involving tasks that computer vision could technically automate, MIT researchers found — because once the cost of building, deploying and running the systems is counted, automation often fails to save enough money to justify replacing the people already doing the work
The story most of us have absorbed goes like this: once a machine can technically do your job, the machine gets your job. It sounds like a law of nature. If the software can spot the defect, sort the parcel, or grade the produce, then the human doing that work is on borrowed time. That…