Jobs that are more likely to be held by women are the same jobs that are least vulnerable to automation.
Two Oxford researchers recently analyzed the skills required for more than 700 different occupations to determine how many of them would be susceptible to automation in the near future, and the news was not good: They concluded that machines are likely to take over 47 percent of today’s jobs within a few decades. This is a dire prediction, but one whose consequences will not fall upon society evenly.
Most doomed: truck drivers. Also doomed: construction, carpentry. Surprisingly doomed: commodity trading and legal writing. The key questions seem to be: Is your task routine? Is the contexual data it requires available to machine vision, or present in organized data sets?
