Rise of AI: Prediction of Job Replacements Based on the Evolution of Artificial Intelligence and Robots Intensification

This research aims to identify the principal factors that foster innovation among students engaged in Work-integrated learning (WIL). Concerns are escalating that robotics and artificial intelligence may displace numerous job roles. In response to this evolving employment landscape, future workers must cultivate innovation skills, identify opportunities, revolutionize industries, and devise inventive solutions to global challenges. Work-integrated learning (WIL) has been recognized as a pivotal educational strategy to develop such attributes, in which the proposed model is cross-validated with the conventional learning scheme called Random Forest (RF) to evaluate the efficiency of the proposed scheme. Diverging from the predominantly qualitative or snapshot-based approaches of previous research, this study employs a quantitative, longitudinal method to assess student capabilities both before and after their WIL placements within businesses. Through confirmatory factor analysis, it compares the pre- and post-placement skills of students. The findings indicate that critical thinking, problem-solving, communication, and teamwork significantly influence the cultivation of innovative skills, which are essential in the age of artificial intelligence.