India, June 17 -- Artificial intelligence is not just changing education-it is exposing its weaknesses. Universities rely on models that reward information retention and standardized assessment. These models focus on predictable outputs. AI systems now perform many of these tasks faster than students. They write essays, solve case studies, generate code, and simulate discussions. This creates a direct challenge for higher education. If you measure success through tasks machines perform easily, you reduce academic relevance. This is not an argument against AI. This is a call for change in universities. Many teaching methods and assessments now match tasks handled by algorithms. Students complete work with minimal human effort. You need to re...