Nabeel Gillani says: The term AI can be overused and conceptually vague, so there is a need for a more nuanced understanding of the term. Generative systems are useful for mundane or repetitive tasks (e.g. boilerplate coding), but their utility is sharply limited when it comes to tasks requiring emotional resonance, intentionality, or personal meaning. Good writing stems from unique human experiences, and the meaning-making process—capacities which current AI systems, lacking sentience and moral understanding, cannot emulate. Because AI is aligned with consumerism, systems optimized for satisfaction may reinforce shallowness and ethical blind spots. And yet still, AI can offer considerable pedagogical value, especially as a scaffold for learning and experimentation, though its effectiveness depends on metacognitive skills many learners lack due to systemic inequalities. The future may see a flood of undifferentiated content, but also an exciting opening for new voices historically excluded from authorship. True progress will depend on equitable design, educational access, and preserving the human capacity for critical reflection and purposeful engagement.