When Will AI Replace Professeur de l'enseignement supérieur en sciences de l'éducation ?

AI is set to impact postsecondary education teachers significantly. By 2028, an estimated 40% of current tasks will be automated. This transformation is not uniform; junior lecturers and adjunct instructors lacking research credentials or specialized expertise are at risk as early as 2026.

The early wave of AI automation will target routine tasks like lecture delivery, assignment grading, and basic student advising. These functions will increasingly be managed by AI-powered platforms, freeing up educators for more nuanced roles.

Mid-wave transformation will see AI further integrate into the educational ecosystem. While tenured professors with strong research and practitioner networks may extend their careers to 2030 and beyond, the overall demand for traditional teaching roles will evolve.

Junior lecturers and adjunct instructors without established research portfolios or deep practitioner networks are identified as most at risk. Their roles involving more routine instructional tasks are more susceptible to early AI automation, potentially starting in 2026.

Tenured professors with robust research achievements and extensive practitioner networks are better positioned to navigate these changes. Their expertise in research supervision, complex pedagogical guidance, and mentorship offers a significant buffer, allowing career extension to 2030 and beyond.

Adaptation is key, with a 2-6 year window depending on your current standing. Focus on integrating AI into your teaching practice. Mastering AI-augmented teaching and developing unique specializations will be crucial for future-proofing your academic career.

Embrace AI as a tool to enhance your teaching, not replace it. Develop advanced skills in mentorship, research supervision, and complex pedagogical guidance. Proactively explore how AI can support these higher-level functions.