Researchers at the Swiss Ecole Polytechnique Fédérale conducted a study to analyze which jobs are at the highest and lowest risk. Automation. The aim was to raise awareness and assess what actions could be taken to reduce unemployment arising from this situation.

“It is important to predict which jobs may be automated in the future and what workers can do to move into low-risk occupations. Automation“, Is mentioned at the beginning of the report.

Various professions were evaluated for research and Consider the extent to which artificial intelligence can replace the human skills needed for these jobs.

The method is based on the correspondence between the human skills required for each job defined in the O * NET database (a service developed by the US Department of Employment) and the robot skills specified in the European framework H2020 Robotics MAR.

This last point considered the physical capabilities of robots today as well as the analytical solution capabilities of other artificial intelligence systems.

Based on all this information, an automation index was developed and the following conclusion was made:

Works with low risk of automation:

1. Physical

2. Neurologist

3. Specialized doctors of preventive medicine

4. Neuropsychologists

5. Pathologists

6. Mathematicians

7. Executive Directories

8. Surgeons

9. Molecular biologists

10. Epidemiologists

Jobs at risk of automation:

1. Slaughterhouses and meat packers

2. Work in the textile, clothing and related materials industry

3. Classifiers and selectors of agricultural products

4. Guardianship and cleaning staff

5. Assistants and regulated

6. Packer

7. Dining room assistants, cafeteria assistants and bartenders

8. Food preparation workers

9. Domestic workers

10. Machinery and equipment cleaning staff

The purpose of this report is to take action to organize the workforce in the face of this new reality.

Similarly, it is expected to raise the awareness of governments, workers and employers to take action in favor of economic transformation. Which will eventually be positive, but whose transition should be organized to reduce exclusion.

“Governments can use the proposed method to assess the unemployment risk of their population and to adjust education policy. Robotics companies can use it as a tool to better understand the needs of the marketAnd members of the public could use it to identify the easiest ways to position themselves in the labor market.

In the current context of constant technological change, workers may have to retrain and pursue new career paths before retiring several times in their lives. Therefore, it is vital that governments formulate clear policies to prepare the workforce to perform tasks that will be automated so that they can perform other types of tasks.

Also relevant is the planning of educational strategies for future generations to prepare them for jobs where more and more people will be needed.

“The results of our method can help to assess the unemployment risks of the active population and Develop an effective welfare policy that will mitigate the socio-economic consequences of the next industrial revolution“- Specialists conclude.

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