As the world struggles to contain the COVID-19 virus and stemming the economic haemorrhage, the pandemic has bolted us closer to 4IR by speeding up the digital transformation through accelerated deployment of automation technologies. In order to take full advantage of 4IR in this era, and to implement successful policy reforms, it is necessary to identify the socio-demographic backgrounds of those who would be most and least affected by these technological transformations. The proposed study aims to explore the socio-demographic cohorts of those who are most at risk and least at risk due to the 4IR based on age, gender, marital status, income level, location (province), skill level, level of education and sector.
