In addition to the factors mentioned above, there are several fields in architecture where artificial intelligence (AI) still has significant limitations. Some of them include:

Human experience: AI currently lacks the ability to understand and take into account human experience in the built environment. The subjective perception of space, aesthetic sensitivity and personal preferences are aspects that are difficult to quantify and codify in algorithms.

Historical and cultural context: Architecture is deeply rooted in the historical and cultural context of a place. Understanding architectural styles, preserving heritage, and harmoniously integrating with the surrounding environment require a deep appreciation of history and culture, something that current AIs struggle to fully achieve.

Originality: While AI can generate architectural designs based on predefined parameters and training data, originality is still considered a distinctively human trait. The ability to conceive innovative ideas, explore new forms and concepts lies in the human imagination, something that AI cannot fully replicate autonomously.

Social interaction and communication: Architecture involves a high degree of social interaction and communication with clients, users and other professionals. AI can assist in certain aspects, such as data analysis or visualization, but it still cannot replace the human ability to understand and respond to people's needs and desires in an empathetic way.

Ethics and social responsibility: Ethical decision making and consideration of social responsibility are fundamental elements in architecture. Architects must consider the impact of their designs on the community, environment and long-term sustainability. This involves ethical judgment and an understanding of human values that cannot currently be fully attributed to AI.

Subjective interpretation: Aesthetic appreciation and subjective interpretation of architecture are aspects that are difficult to quantify and define in algorithms. AI lacks the ability to understand the beauty and symbolic meaning a building can have for people. The experience of inhabiting and experiencing an architectural space is highly subjective and influenced by emotions, culture and personal context, something that AI cannot yet fully capture.

Adaptive design: Architecture often requires adaptability and flexibility to meet the changing needs of users and the environment. This implies the ability to respond to social, technological and environmental dynamics over time. AI currently relies on historical data and existing patterns, hindering its ability to anticipate and adapt to future changes in how a building will be used or in environmental requirements.

Contextual intuition: Architecture involves understanding and responding to the specific characteristics and limitations of a place, such as climate, topography, vegetation, and existing infrastructure. This deep contextual understanding, combined with intuition and empirical knowledge, is difficult to replicate in an AI. Human architects often integrate experience, observation, and intuition to make informed decisions about how to design a building consistent with its physical and social environment.

Emotional and narrative communication: Architecture has the power to tell stories and evoke emotions through design. Buildings can be cultural symbols, transmit values or tell a story. Current AI cannot generate that level of emotional and narrative communication that a human architect can achieve through their design decisions, material selection, use of light, and other architectural features.