This paper presents a conceptual analysis of the limitations of current artificial intelligence systems in relation to human creativity. While AI technologies, including large language models, demonstrate advanced capabilities in generating text, images, and problem-solving outputs, this paper argues that such systems lack the fundamental qualities required for genuine creativity. The analysis distinguishes between AI-generated outputs, which are based on pattern recognition and data recombination, and human creativity, which emerges from consciousness, intentionality, emotional depth, and lived experience. Drawing on interdisciplinary perspectives from artificial intelligence research, psychology, and philosophy, the paper explores the concept of meaning-making as a uniquely human capacity that remains beyond the reach of current AI systems. The paper further examines claims regarding the potential replacement of human labour by AI, arguing instead that the relationship between humans and AI is best understood through a framework of augmentation rather than substitution. A conceptual model is introduced to illustrate the interaction between AI creativity, human creativity, and augmented creativity. Ultimately, this work positions artificial intelligence as a powerful tool that enhances human capability, while reinforcing the argument that the human element in creativity is irreducible and cannot be replaced. Keywords: artificial intelligence; human creativity; consciousness; generative AI; conceptual analysis
Joanna Lloyd (Sun,) studied this question.