AI-Driven Automation As Predator Of The Employability Of Business Education Graduates

Abstract

This paper investigates Artificial Intelligence as a predator of the employability of graduates of Business Education. One research question was raised,  hypothesis formulated and tested using 20 employers of labour, it was discovered that dissemination of information was cost effective using AI-driven automation as  the mean value 0.08 is less than SD of 0.9 which are also greater than the P.value 0.05, the result of the hypothesis tested showed that the study's p-value of (0.114) appears greater than the significance level (0.05), therefore, the study accepts the  null hypothesis, this indicates that automation can enhance the employability of Business Education Graduates.