The shift: the evolution of design & architecture under the generative AI influence. Safety and implications

Abstract

The evolution of architecture from the peak of modernism in the early 20th century to the present has been a journey from strict, functional minimalism to an eclectic, technology-driven, and sustainable approach. This field has transitioned from the rigid "less is more" philosophy of early modernists to postmodern reactions and, ultimately, to contemporary designs that embrace complex digital forms and ecological responsibility. Nevertheless, while architects and designers often prefer Modernism, Brutalism, or Contemporary styles, these often rank lower in popularity among the general public. According to recent studies, classical, and traditional architectural styles are the ones generally liked by the majority of people, showing a preference for symmetry, balance, and intricate detailing. While modern or contemporary styles are often chosen for new builds due to their efficiency, lower construction costs and easier construction effort, public sentiment strongly favors older, historical detail-rich aesthetics, such as Gothic and Art Nouveau. The introduction of AI-assisted software in architectural practice has brought a dramatic shift in the industry. The shift is due not only to the increased speed of concept image production by generative AI but also to the complexity of details and the multitude of visual references proposed by AI platforms. Generative AI is a subset of artificial intelligence that creates new content by learning patterns from existing data using large-scale machine learning models. These models are trained on massive datasets to understand underlying structures, allowing them to predict and create new, similar data. As the general public shows a clear tendency of favoring older aesthetics, the AI engines are bringing those visual trends into the proposed generated images. This phenomenon has already led to the shift of direction in the architectural style evolution, and we can see this type of aesthetics in awarded projects of major architectural contests, urban planning proposals, and even in real life with many already-built structures around the world. But the interaction with the AI assisted software is not without risks. The European Commission is heavily focused on copyright concerns arising from generative AI and is taking steps to implement and reinforce legislation, with major enforcement actions planned for 2026. Companies like Anthropic are also flagging lately potential risks such as the “zero-day vulnerability”, leaking proprietary Anthropic information, sabotaging code, or steering humans toward wrong decisions. Project Glasswing is a very recent (April 2026) cybersecurity initiative launched by Anthropic, as an initiative to use next-generation AI tools for defensive cybersecurity across critical infrastructure. This initiative can also ensure a secure evolution path for the architecture industry that is shaping the future image of our living environment and cities. It seeks to prevent harmful influences or interventions from various groups or individuals who may prioritize the financial or industrial interests of a select few, while neglecting the aesthetic preferences of the majority of the population.