The professional landscape is undergoing radical changes in how students enter the workforce. Previously, entry-level positions served as informal internships where new employees performed basic digital tasks such as scheduling, data entry, and writing emails, receiving professional mentorship and experience in return.
Automation of Basic Tasks
However, autonomous AI agents have eliminated this corporate 'entry level' by automating fundamental operations. This shift creates a significant skills gap, as employers now expect graduates to possess high analytical and strategic skills from day one.
Student Views on AI's Impact
Ntombizodwa Ngcukana, a 24-year-old student from the University of Cape Town, uses AI tools to improve understanding of complex concepts and refine writing skills while remaining firmly committed to the ethical use of these technologies. She noted that her major is linguistics, specifically the isiXhosa language, and the translation industry still highly values human expertise. Ngcukana emphasized that AI often provides only superficial information, making human judgment and knowledge indispensable.
As technological advancements accelerate and many professions are automated, Ngcukana feels competition with software. She explained that it is necessary to constantly improve one's skills and demonstrate unique human value that software cannot fully replicate.
AI Application in Learning
Sifiso Ndlovu, a 20-year-old student from the University of VUT, agrees that AI is useful for studying, gathering information, and exploring new epistemologies, and that AI is integrated into some lectures for better material absorption. For his academic work, he uses various AI platforms, including Gemini, ChatGPT, and DeepSeek. Ndlovu believes that the knowledge gained in his Bachelor of Education courses will be important when seeking employment. He thinks that AI is unlikely to replace teachers, pointing to serious obstacles the government would face in implementing such programs in schools. Nevertheless, he warned that the use of AI could lead to 'epistemological chaos,' which might hinder or limit the learning process.
Preparing for the Real World
Dr. Sindisiwe Msani, a lecturer in the Department of Languages at the University of VUT, stated that the teacher training program does not aim to compete with AI. Instead, it focuses on mastering qualities that machines cannot replicate: human connection, pedagogical intuition, and context-based empathy. Dr. Msani explained that while AI can instantly create perfect lesson plans, it cannot recognize if a quiet student is struggling. Therefore, their program develops AI resilience skills, placing great emphasis on culturally adaptive teaching, classroom management, and the ethical organization of digital tools.
She also noted that teachers and lecturers should already be using AI tools to optimize lesson planning and analyze assessment trends. According to Dr. Msani, if these tools are completely isolated in the classroom, there is a risk of sending students into classrooms unprepared for the real pace of work. Furthermore, she reported that the curriculum is adapting by moving away from mechanical adherence to rules and administrative routine, instead basing itself on advanced human initiative, critical digital literacy, and adaptive problem-solving. By integrating these enhanced competencies into the curriculum, Dr. Msani ensures that graduates become not just replaceable content executors, but resilient curriculum developers and cultural mediators who know how to manage digital tools, rather than being replaced by them.

