Throughout history, architectural design has relied on human intuition and both manual and digital representation tools to develop spatial concepts. The emergence of generative AI has introduced a new paradigm, allowing architects to integrate transdisciplinary inputs into their design processes in unprecedented ways. Rather than replacing human creativity, AI expands the architect’s conceptual framework, broadening the scope of design possibilities. This paper explores how generative artificial intelligence (AI) enables the transformation of abstract visual languages, particularly Suprematist paintings, into architectural form. Drawing from historical and contemporary examples, the study situates AI within a broader lineage of transdisciplinary design practices. We propose a methodology for translating key compositional principles from Suprematist artworks into spatial configurations. Rather than re-placing human creativity, AI serves as a tool for expanding the architect’s conceptual framework, offering new pathways for experimentation, iteration, and transdisciplinary translation. This methodological approach aligns with Lyotard’s notion that translating sensory structures across mediums preserves traces of their origin, fostering transformation rather than mere replication.