Architecture and artificial intelligence – that sounds like Blade Runner, dystopian cityscapes and designs that write themselves. But while the world of ChatGPT and Midjourney looks on in fascination, one guild is asking itself: who will actually teach the next generation of architects how to use AI? Architecture schools in Germany, Austria and Switzerland are facing an epochal task: they need to deliver an AI curriculum that not only updates the profession, but gives it a whole new foundation. The question is not whether this will happen – but how quickly we can do it before the algorithm takes the sketch out of our hands.

• Why an AI curriculum in architecture education is not a luxury, but essential for survival
• How far German, Austrian and Swiss architecture schools really are in an international comparison
• Which innovations and trends are shaping the AI age in design, planning and construction
• What technical know-how and soft skills are required of budding architects
• How digitalization and AI are changing architectural practice and education in the long term
• Which debates, fears and visions accompany new learning
• How sustainability, ethics and creative freedom can be safeguarded in the age of algorithms
• What all this has to do with the global architecture debate – and why it’s high time we didn’t miss the boat

The big gap: Where does the AI curriculum stand at DACH architecture schools?

You can spin it however you like: the digital transformation of the construction world has long been in full swing, but the curricula at German-speaking architecture schools are lagging behind reality. While lecture halls still teach form-finding on tracing paper and design criticism with pencil and red pen, AI tools have long been generating complex spatial structures, simulating climate and usage scenarios and optimizing load-bearing structures at the touch of a button. In Germany, some universities are experimenting with courses on generative design, data analysis and BIM-based planning processes. However, there is no systematic, mandatory integration of AI skills. Most curricula treat digitalization as an optional subject at best, as an add-on for tech nerds – not as a central foundation of education.

In Switzerland, the situation is slightly better. There are pilot projects in Zurich and Lausanne that integrate AI-based design processes into teaching. There are also some initiatives in Austria, for example in Vienna and Graz, where students are gaining initial experience with algorithmic design, parametric planning and machine learning. But: the big picture is missing here too. Traditional architecture teaching dominates, which sees AI as a tool, not a paradigm. The inhibition threshold is high. Many lecturers are barely familiar with AI themselves, and the uncertainty as to how much algorithm is conducive to freedom of design is holding back the courage to undertake radical curriculum reforms.

At the same time, the international comparison is sobering. In the USA, the UK and China, AI courses have long been standard in architecture degree programs. There, dealing with generative models, data analysis and automation is seen as a key skill. A look at the graduate profiles shows: Anyone studying architecture abroad today leaves university with a toolbox that is often years ahead of their German, Austrian and Swiss counterparts. The result is a growing skills gap that the entire DACH region is unable to close with either excellence initiatives or individual projects.

However, the main problem is not of a technical nature. It is a mentality problem. There is still the idea that technology and design are opposites – that algorithms restrict creativity instead of expanding it. This attitude leads to a dangerous complacency. While international offices have long been using AI-supported design processes, smart material analyses and automated planning processes, here in Germany we are debating whether this is still “real” architecture at all. The question of whether we integrate AI into training is no longer an issue – it’s just a question of how and when.

The consequences are foreseeable: If you don’t offer an AI curriculum in architectural education today, you risk putting the next generation on the digital sidelines. Planning practice is evolving and the demands on young architects are increasing. If universities do not follow suit, they will be overtaken by reality. This is not alarmism, but sober analysis. Digital change is not waiting for the last skeptic.

AI, digitalization and the reinvention of architectural knowledge

What does this mean in concrete terms for the curriculum? First of all, it means a paradigm shift: away from the idea that digitalization is a specialist field and towards the insight that AI is redefining the entire architectural value chain. From the first sketch to the dismantling of a building, AI plays a role everywhere. It starts with the design, where generative algorithms create endless variants, simulate material flows and optimize urban planning parameters in real time. Those who do not master these tools remain trapped in the analog age.

But AI means more than just new tools. It requires a new understanding of data literacy, modeling and creative control. Students need to learn how to curate data sets, train algorithms, check results and reflect critically on them. This includes technical know-how in programming languages, statistics, geoinformation systems and machine learning. But soft skills are also required: collaboration in interdisciplinary teams, ethical reflection and strong communication skills.

A modern AI curriculum must therefore be interdisciplinary. It is not enough to offer a few CAD or BIM courses and sell them as digitalization. What is needed is the integration of computer science, sustainability, sociology, law, economics and design. Architecture is becoming a platform discipline in which AI is not just a tool, but a co-designer. The curriculum must teach how to control and evaluate AI-supported processes and make them usable for society.

This is also where the debate about responsibility begins. Who decides how algorithms are built? Who controls the database? How transparent and comprehensible are the AI results that will decide on construction projects, urban design and choice of materials in the future? An AI curriculum must not be limited to technical skills. It must also teach ethics, governance and participation. The ability to explain, question and regulate AI will become a key qualification for the next generation of architects.

Finally, the question of creative freedom is central. AI can accelerate, optimize and rationalize design – but it must not replace the autonomy of the architect. The curriculum must therefore also teach how to use AI as a partner in creative processes without becoming a mere parameterization machine. It is about the balance between inspiration and automation, between human judgment and machine intelligence. Those who fail to teach this balance will at best produce technology administrators – but not designers of the built environment.

Sustainability, AI and the long road to resource-efficient construction

Every modern AI curriculum in architecture must cover a central topic: Sustainability. The construction sector is responsible for a large proportion of CO₂ emissions, resource consumption and waste generation worldwide. AI offers enormous potential here – if you know how to use it. Algorithms can optimize material flows, automate life cycle analyses, simulate urban planning scenarios and predict climate impacts. But this does not happen by itself. It requires experts who understand, apply and further develop the tools.

In practice, this means that students need to learn how to analyze data on energy consumption, building materials, transport routes and building use and derive sustainable planning decisions from this. They need to know how to train AI models on ecological targets, how to recognize conflicts between economic efficiency and environmental protection and how to evaluate new materials or construction methods with the help of AI. This requires not only technical knowledge, but also a deep understanding of interrelationships, interactions and system dynamics.

However, an AI curriculum must not be limited to efficiency optimization. It is also about social sustainability: how can algorithms help to create affordable housing, promote social integration and strengthen inclusion and participation? The answers to these questions are complex and often controversial. This shows how important critical reflection and interdisciplinary collaboration are. Students need to learn that sustainable architecture is more than just a good CO₂ balance sheet.

The challenges are not only technical, but also cultural and regulatory in nature. In Germany, Austria and Switzerland, there are numerous standards, certification systems and funding programs for sustainable building. AI-supported planning processes must be familiar with and comply with these framework conditions – or, even better, develop them further. This requires a close interlinking of research, teaching and practice. Universities, companies and public stakeholders must pull together to ensure that the AI curriculum does not remain in an ivory tower.

Ultimately, sustainability in the age of AI is a question of attitude. Only those who understand AI as a tool for the common good, not just for efficiency and profit, will be able to shape the building revolution. The AI curriculum must convey this attitude – and even more: it must enable students to see the digital transformation as an opportunity for a better, fairer and more sustainable built environment.

Debates, visions and the global perspective: architecture in the age of algorithms

The introduction of an AI curriculum at architecture schools is not a foregone conclusion. There are heated debates, doubts and resistance. Critics warn of an “algorithmization” of architecture, of the danger that design and creativity will be supplanted by data-driven processes. Others fear that AI will primarily benefit the large, financially strong offices, while small and medium-sized players will be left behind. There are ethical concerns: how do we prevent bias and discrimination when algorithms decide on space, use or material? Who controls the black boxes that shape our building culture?

Visionaries, on the other hand, see the AI curriculum as an opportunity to democratize architecture. AI can open up planning processes, facilitate participation and make complex contexts easier to understand. It can help to develop new forms of designing, building and using – beyond traditional routines. The topic has long since arrived in the global architectural debate. International competitions, research consortia and innovation labs show this: The question is not whether AI will change architecture, but how we shape this change.

For Germany, Austria and Switzerland, this is a challenge – and an opportunity to position themselves. Those who boldly invest in training AI skills now can prepare the next generation of architects for a world in which data, algorithms and creativity go hand in hand. Those who continue to hesitate risk losing touch and becoming the extended arm of international software providers. The AI curriculum is therefore also a way of safeguarding the sovereignty of building culture in German-speaking countries.

However, implementation is complex. It requires new teaching formats, flexible modules, further training for teachers and close cooperation with practitioners. Universities must open up, network and be prepared to take unconventional paths. For their part, students must learn to endure uncertainty, dare to try new things and critically question their own role in the digital ecosystem. This requires courage, openness and a good dose of curiosity.

And another thing is clear: the AI curriculum is not a static framework. It must constantly evolve and adapt to new technologies, social developments and ethical issues. The architecture of the future is dynamic, hybrid and more data-driven than ever. Only those who see the curriculum as a living process will shape change – instead of chasing after it.

Conclusion: the AI curriculum is mandatory, not optional

Architecture is at a turning point. Artificial intelligence is no longer a topic for the future, but a reality in design, planning and on the construction site. The response of architecture schools to this has so far been too hesitant, too fragmented, too old-fashioned. If you want to prepare the next generation for the digital building revolution, you need an AI curriculum that is more than just a technical add-on. It must combine design, technical, ethical and social skills – and turn students into designers of a digital, sustainable and fair building world. The time for waiting is over. If you don’t invest now, you will lose out. And not just the connection, but the future of building culture.

In its major autumn exhibition, the Saarland Museum is devoting itself to a theme that has always been part of being human and yet often remains hidden: dark feelings. Under the title “Into the Dark – Graphic Art from Ensor to Munch”, the show from September 20, 2025 to January 4, 2026 brings together around 110 works that deal with the abysses of human existence in an impressive way.

Fear, despair, jealousy, sadness, anger or even horror – all these emotions are an inseparable part of life. Nevertheless, they often remain unspoken and are rarely shown openly. However, they have played a prominent role in art history in particular. Artists of all eras have tried to make these “heavy” feelings visible and give them form. The exhibition at the Saarland Museum now presents this tradition and impressively shows that the dark does not necessarily have a negative or frightening effect, but is rather an indispensable part of human expression.

At the heart of the show is the graphic art of classical modernism, a medium that is reduced to its essence like almost no other: black and white, line and surface, light and dark. Based on the museum’s own holdings and supplemented by valuable loans, works by important artists are on display. Alongside James Ensor, Otto Dix, Vincent van Gogh, Käthe Kollwitz and Alfred Kubin, Edvard Munch stands out in particular, with his works forming a focal point. The Saarland Museum’s extensive Munch collection is being presented in its entirety for the first time, providing a rare, intensive insight into the Norwegian artist’s graphic work. The exhibition comprises a total of 111 works, including important loans from the Staatliche Kunsthalle Karlsruhe in addition to the museum’s own holdings.

The exhibition shows that darkness in art has many facets. Some works have an immediately oppressive effect, confronting the audience with death, suffering or loneliness. Others, on the other hand, surprise with gallows humor, irony or an almost playful lightness. The result is a field of tension in which visitors are constantly forced to re-position themselves. Sometimes the path leads to deep thoughtfulness, sometimes the works elicit a smile – but the experience always remains intense and immediate.

An important point of reference for the “Into the Dark” show is the artist and art theorist Max Klinger. As early as 1891, he emphasized the “right of the dark side of life to exist”. For him, the dark not only represented a necessary counterweight to the light, but also an indispensable component of artistic exploration. The works that can now be seen in Saarbrücken are part of this tradition: They open up a wide field for that which is often difficult to depict – for the unspeakable, the unconscious, the hidden. Particularly noteworthy is the presentation of Max Klinger’s series “Opus VI, Ein Handschuh” (1897), which is being shown in its entirety on loan from the Staatliche Kunsthalle Karlsruhe.

The exhibition is divided into eight chapters: Hidden Feelings, Restlessness, Urge, Attraction, Lost, Horror, Connectedness and Night Side. Each chapter opens up new perspectives on the dark. Alfred Kubin is represented with 20 works and forms a focal point. His words from 1916 – “Balance is hidden within us; let’s go in search of it” – are emblematic of the entire show. These themes are complemented by works that address existential questions, erotic depictions of agony and death as well as socially critical positions on violence and injustice, for example in the prints by Käthe Kollwitz and Otto Dix

Curatorially, the exhibition relies heavily on the immediate emotional impact of the works. Lines, contrasts and reductions create an immediacy that touches without detours. Paper thus becomes a resonance chamber for that which can hardly be captured in words. “The dark, the abysmal, the hidden is not dark in the clichéd sense – it is human, alive, deep,” emphasizes Lisa Felicitas Mattheis, Head of Art and Cultural Studies at the Saarland Cultural Heritage Foundation.

The exhibition is complemented by a broad educational program that offers visitors numerous opportunities for in-depth exploration. Guided tours, lectures and workshops will help to illuminate the themes of the exhibition from different perspectives. An accompanying publication will also be published, which not only documents the exhibited works, but also contains further-reaching essays and can thus serve as a permanent basis for reflection.
In addition to guided tours and lectures, the museum offers a hands-on station in the exhibition, creative activities for children and adults as well as special programs for school classes. The publication comprises 120 pages, is edited by Lisa Felicitas Mattheis and contains texts by Kathrin Elvers-Švamberk, Laura Prins, Eva Specker and Jane Schmidt-Boddy, among others.

With Into the Dark – Graphic Art from Ensor to Munch, the Saarland Museum opens up an impressive view into the world of feelings that are often difficult for us, but are nevertheless part of the core of human experience. The exhibition invites us to confront the dark sides of life – not as a threat, but as an opportunity for self-reflection and deeper understanding.