Porous City / MVRDV and The Why Factory. Image Courtesy of Frans Parthesius, MVRDV and The Why Factory
This article is part of our new Opinion section, a format for argument-driven essays on critical questions shaping our field.
Every architectural epoch has been defined by its instruments. The compass, the drawing board, the camera, and the computer have each altered how architects think and produce. Yet the current moment feels qualitatively different. As artificial intelligence and generative systems enter daily workflows, tools cease to be passive extensions of the architect's hand and begin to operate as semi-autonomous agents. They propose, optimize, and simulate, producing outcomes that are, at times, beyond the author's full anticipation.
What if industrial leftovers weren't waste, but the start of architectural design? At Rieder's headquarters in Maishofen, Austria, over 1,300 cubic meters of timber, 180 ceiling elements, and hundreds of upcycled glassfiber-reinforced concrete fragments come together in a building shaped as much by reuse as by planning. The new production hall, designed by Kessler² Architecture, treats material leftovers as a design resource. Developed as part of a long-term investment in sustainable manufacturing, the timber-concrete hybrid building introduces a facade technique that inverts conventional architectural workflows: instead of designing first and producing components afterward, the building envelope is generated from the material remnants already available on site establishing a new language for industrial architecture.
This article is part of our new Opinion section, a format for argument-driven essays on critical questions shaping our field.
Who designs architecture today? In a professional landscape increasingly defined by collaborative workflows, generative software, and distributed teams, the figure of the architect as a singular creative author feels both anachronistic and inadequate. This article argues that architectural authorship is no longer an individual act, but a collective and distributed condition shaped by institutions, technologies, and shared forms of labor. The transition from individual to collective authorship is not simply a consequence of larger offices or digital tools; it signals a deeper structural shift in how architecture is produced, communicated, and validated.
Artificial intelligence is becoming an undeniable presence in our daily lives. It teaches, generates content, and disrupts the fragile boundaries—both visual and imaginative—that once governed our interactions on social media. On platforms like Instagram, we witness a flood of imagery where every kind of speculative exercise is freely shared, recalibrating our understanding of the relationship between architecture and image. Amid this transformation, entire professions find themselves on uncertain ground, as AI begins to challenge areas once defined by human expertise.
Yet beneath this apparent abundance lies the opaque core of closed-source AI: an algorithmic black box that systematically conceals the origins of the data it consumes. As a result, its outputs are inevitably prone to factual distortions, anachronisms, and subtle or overt biases. This same machinery can hollow out the significance behind the languages and stylistic signatures of canonical architects—manifest, for instance, in AI-generated visions speculating how famed designers, living or dead, might have reimagined the Eiffel Tower. We shared one such image to observe and better understand how people—especially architects—respond to AI's current possibilities and limitations, and the ways it mimics architectural intent. The response was quite fascinating, revealing a mix of curiosity, concern, and critical reflection.
Architecture is a discipline that evolves through progressive stages, with each phase building upon the previous one. Schematic design, for example, begins with broad concepts and initial explorations, followed by site analysis, sketches, and 3D models, with adjustments made along the way. The true challenge lies not just in following this sequence but in balancing speed, quality, and efficiency to navigate the trade-off between time and quality. In this context, the integration of generative artificial intelligence in the built environment reshapes architectural dynamics by assisting architects and creating space for more experimentation and exploration. Its impact is especially significant in rendering, which was previously a constraint at different project stages—particularly during concept development. Today, however, AI-powered architectural rendering operates smoothly, allowing more focus on creative problem-solving through innovative tools and strategies.
https://www.archdaily.com/1027260/how-ai-powered-rendering-crushes-bottlenecks-in-architecture-and-interior-designEnrique Tovar
Artificial intelligence (AI) is reshaping the architectural landscape, offering tools that enhance creativity, streamline workflows, and redefine design processes. From assisting in urban planning to conceptualizing homes and creating visualizations, AI is unlocking new possibilities for architects, designers, and even non-professionals. Yet, as AI-generated outputs become more prevalent, concerns emerge regarding the possibility of generating generic-looking designs or the disappearance of traditional design skills. These challenges lead us to critically examine how AI complements human creativity and the ethical implications surrounding authorship, originality, and intellectual property rights in this rapidly evolving digital era.
Gendo Design to Image Output. Image Courtesy of Gendo
The introduction of AI generative tools represents one of the most significant technological revolutions in the field of architecture and design. While there is concern about this changing the working landscape for professionals in the field, a significant number of practices are embracing the new technology. Architectural visualizations represent one of the main areas where these changes take effect. However, the array of AI tools accessible to non-specialist users rarely allows for true control over the design process, often offering general interpretations of scripts. This can be helpful during early conceptual design phases but loses its appeal soon after. Gendo, a new browser-based app, aims to change this, offering the possibility to not only generate visualizations in seconds but also to edit and customize them, even introducing real-life products in the design. Until August 3, readers of ArchDaily can register and use the code ARCHDAILY50 to get 50% off any plan.
Interior AI is a new platform that helps users generate new styles and even new functions for their interior spaces. The program uses the input of a 2D image of an interior space, be it a picture found on the internet or a photograph taken by the user. It can then modify this picture to fit one of the 16 preselected styles, ranging from Minimalist, Art nouveau, or Biophilic to Baroque or Cyberpunk. The program also allows users to select a different function for the room, kitchen, home office, outdoor patio, or even fitness gym, thus creating a completely new interior design.
Since their introduction to the wider public, artificial intelligence technologies seem prone to change the working landscape for professionals across all fields, and architecture and urban planning are no different. While many fear their negative impact, AI technologies can also be viewed as a different set of tools in the arsenal of architects and designers. As revolutionary as they are, there is a plethora of applications and platforms being developed not to replace, but to aid, offload repetitive tasks, and help visualize ideas or large data sets, all to provide a basis for the architect's decision-making process.
Image created under the prompt: A minimalist, white building with high, curved solid walls, curtain walls, and robust concrete columns in a Nordic environment. Image via LookX AI
Nowadays, architectural work is closely linked to technology and the advances that emerge in this field. In that sense, various aspects of artificial intelligence have been widely discussed. The reality is that, rather than plunging into a competition of capabilities between Architects vs AI, —with nuances that could evoke some aspects of the ideology of 19th-century English Luddites— advances in this field can be seen as tools to optimize processes and open new perspectives within the profession.
In this context, architecture often spans various stages, from early phases where data decisively shapes built environments to later ones where generative design tools for spaces play a fundamental role in spatial configuration. In this process, visualization plays the crucial role of graphically understanding the expression of what is being designed. Thus, iterating on the visualization and evaluating each of the results is vital not only to express ideas but also to use those visualizations to interpret aesthetic elements.
https://www.archdaily.com/1010426/prompting-creativity-the-role-of-ai-in-visualization-and-design-tools-for-architectsEnrique Tovar
We are witnessing a major shift in the process of generating images. The recent influx and growth of machine learning and artificial intelligence raises questions about the way in which creative processes evolve and develop through technology. Systems like DALL-E, DALL-E 2, and Midjourney are AI programs trained to generate images from text descriptions using a dataset of text-image pairs. The diverse set of capabilities includes creating anthropomorphized versions of animals and objects, combining unrelated concepts in plausible ways, and applying transformations to existing images.
This article is the fifth in a series focusing on the Architecture of the Metaverse. ArchDaily has collaborated with John Marx, AIA, the founding design principal and Chief Artistic Officer of Form4 Architecture, to bring you monthly articles that seek to define the Metaverse, convey the potential of this new realm as well as understand its constraints.
Science fiction writers inspire us with bold and provocative visions of the future. Huxley, Orwell, Assimov, and Bradbury easily come to mind. They have imagined great advances in technology and oftentimes predicted shifts in social structure that were a result of the human need to open Pandora's Box. A large part of the charm and allure of science fiction is the bold audacity of some of these predictions. They seem to defy the laws of nature and science, and then, faster than you might have thought, the spectrum of human inventiveness makes it so.
Lo-tech Augmented Reality. Image Courtesy of James Corbett
Augmented reality (AR) software has been a common feature in professional design toolkits for a while. But the recent release of Apple’s Vision Pro glasses shows the mixed-reality wearables sector is making serious inroads in consumer markets too, as one of the world’s biggest names in consumer design and technology enters the market.
A major reason for the immense hype surrounding Apple’s foray into AR/VR hardware, however, is the decision to position it as ‘spatial computing.’ By taking the complexity of augmented reality, and using it to heighten a familiar consumer sector – personal computing – the Cupertino-based brand has simplified the whole experience, widening its understanding and appeal.
In architecture, drawing is a technical and artistic expression that involves creating visual representations using various analog instruments. While drawing remains relevant and current in practice today, efforts have been made to carry out architectural tasks and studies more efficiently. The drafting machine, a significant development in this regard, enabled precise strokes using fewer instruments. However, the emergence of computational tools, such as computer-aided drafting (CAD), has revolutionized the workflow by leveraging the advantages offered by computers. Architects can now play a more direct and creative role in the design process, reducing their reliance on time-consuming drawing and repetitive tasks. Moreover, workflow enhancements have fostered more effective collaboration among different stakeholders in the architectural process.
https://www.archdaily.com/1001757/generative-space-design-exploring-8-transformative-tools-in-architectureEnrique Tovar
On June 5, Apple launched Apple Vision Pro, a new type of spatial computer that uses augmented reality goggles to allow users to experience a blend between the digital and physical worlds. The device promises to offer its users an infinite canvas for apps, larger and more immersive than traditional displays, while allowing them to stay present and connected to others. It features visionOS, the first spatial operating system to create this new way of interacting with digital content. Previous concepts like the metaverse have promised to transform the way we experience digital worlds, with architects taking the opportunity to delve into the design of restriction-free virtual spaces. Could this new device bring new ways of experiencing three-dimensional spaces, to better integrate architecture with digital environments?
It’s here! The 21st-century digital renaissance has just churned out its latest debutante, and its swanky, sensational entrance has sent the world into an awed hysteria. Now sashaying effortlessly into the discipline of architecture, glittering with the promise of being immaculate, revolutionary, and invincible: ChatGPT. OpenAI’s latest chatbot has been received with a frenzied reception that feels all too familiar, almost a déjà vu of sorts. The reason is this: Every time any technological innovation so much as peeks over the horizon of architecture, it is immediately shoved under a blinding spotlight and touted as the “next big thing.” Even before it has been understood, absorbed, or ratified, the idea has already garnered a horde of those who vouch for it, and an even bigger horde of those who don’t. Today, as everyone buckles up to be swept into the deluge of a new breakthrough, we turn an introspective gaze, unpacking where technology has led us, and what more lies in store.
Architecture is a referential discipline. From ziggurats, machines for living, to contemporary biophilic high-rises designs, it is impossible to know whether ideas are genuinely novel or whether they have been conceptualized before. Artificial intelligence has ignited the conversation on intellectual property (IP) even more. As millions generate unique graphic work by typing keywords, controversies have arisen, specifically concerning protecting creative work and the Copyright of architects in their creations. Therefore, understanding the scope of what is protected helps determine whether licenses are sufficient, whether trademark registration's long road is worth it; or perhaps a graphic piece cannot be protected and belongs to the public domain.
