5 sectors impacted first by the automation of work
By 2055, half of the activities currently performed by men will be automated, according to McKinsey forecasts. A reality that brings profound societal upheavals, about which Bill Gates was recently worried by validating the idea of a tax on these robots.
There is indeed a fear of seeing his job replaced by a robot. In the United States, less than 5% of jobs can actually be fully automated, according to the study “A Future That Works: Automation, Employment, And Productivity»Carried out by the McKinsey Global Institute and published in January 2017. With nearly 60% of jobs which could ultimately be 30% automated, the authors of the study rather expect a change in these professions , than their outright disappearance.
The top tasks that can be automated quickly are physical activities, which take place in a very structured and predictable work environment, as well as those related to data collection and analysis. In total, these missions represent 51% of working time in the United States. This equates to $ 2.7 trillion in cumulative wages.
Accommodation and catering in mind
More precisely, it is the sector of accommodation and catering which has the greatest potential for automation in the coming years, at 73%. Specifically targeted are all the predictable and physical tasks associated with these trades.
The area industrial, with an automation potential estimated at 60%, comes in second place. Here again, it is predictable activities, as well as those related to data collection that are targeted as a priority.
Agriculture has an automation potential of 58%. With the vast majority of tasks corresponding to physical activities, but not predictable, one can imagine that “learning” robots, of the machine learning type, could be of interest to professionals.
The sector transport and logistics follows, with an automation potential of 57%. As in industry, it is the predictable and data-gathering tasks that can be automated first.
Finally, the retail business has an automation potential of 53%, primarily due to the time spent analyzing collected data. It should be noted that customer interface missions, which are very important in this field, cannot be automated according to the experts.