Architecture is witnessing a groundbreaking shift with the integration of artificial intelligence, which has evolved from being a mere supporting tool to becoming a core partner in the design process. Generative design is one of the most significant AI applications in architecture, where inputs related to space, materials, functions, and sustainability requirements are fed into AI systems. These systems generate hundreds of design alternatives, enabling architects to select the most efficient and aesthetically pleasing options. This process not only saves time and effort but also broadens the scope of innovation and experimentation.

One of the key advantages of AI-driven generative design is its ability to enhance sustainability. Intelligent systems can simulate energy consumption, airflow, natural lighting, and even the lifecycle of materials. This allows for reducing carbon footprints, adopting eco-friendly solutions, and achieving higher efficiency in construction and operation. AI also enables the assessment of a building’s environmental and social impact before implementation, ensuring alignment with global sustainability goals.

Creatively, AI opens new horizons by enabling the design of non-traditional architectural forms that combine modern aesthetics with practical functionality, offering solutions that adapt to climate change and evolving human needs. Thus, AI serves as a tool that redefines architecture as both art and technology.

The Sustainable Development Goal addressed here is Goal 11: Sustainable Cities and Communities, as AI contributes to developing efficient, resilient, and eco-friendly buildings that improve quality of life while reducing environmental impact.

Almustaqbal University, The First University in Iraq.