The New Era of Digital Transformation and COVID-19 Effect on The Employment in Mobile Operators in Egypt

Ashraf Elsafty, Ahmed Elzeftawy


A fear from Technological Advances mainly automation and artificial intelligence (AI) has been raised since the beginning of the 21st century, that machines will eliminate human beings performing certain tasks. Several models were developed to measure the effect of the Automation & AI on the employment and was applied on several countries. The first model was developed by Carl Benedikt Frey and Michael A. Osborne was called An Occupation-Based Approach, 2013. In which they define several tasks and call it “Engineering-Bottlenecks”. Katharina Dengler, Britta Matthes and Wiebke Paulus, 2014 made The Occupational Tasks model in which they use the assignment of activities explained by Alexandra Spitz-Oener and categorize the non-automatable tasks as: analytical non-routine tasks, interactive non-routine tasks. The last model was A-Task Based Approach by Melanie Arntz, Terry Gregory, 2016 in which they argue that FO Model Ignore that, the occupations consist of many tasks, part of them can be automated and another part cannot be. These models were applied on the level of the countries but not on corporate levels.

The purpose of this paper is to combine the above three models and applying them on the Mobile operators in Egypt to determine the effect of Automation and AI on the Employment there, taking into consideration the incremental risk from COVID-19 which influenced the humanity.

The conclusion of this research is that 41% of the staff working in the Technology field on the mobile operators, their jobs are subject to automation and COVID-19 will make an incremental Risk of 8%, due to creation of efficiency on performing the un-automatable tasks from home through digital platforms.

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Business and Management Studies     ISSN 2374-5916 (Print)     ISSN 2374-5924 (Online)

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