7 ways AI could change architecture in 2026

Like many industries, architecture has jumped on the artificial intelligence bandwagon. AI tools are becoming everyday parts of the practice of architecture, from iterating design concepts to optimizing floor plans to accelerating the creation of construction documents. Some architecture firms are even branding themselves as “AI-driven.”

AI’s infusion into architecture is well underway, but it’s also an ongoing process. Firms are finding new ways of making these emerging tools work for the way they design buildings, while also grappling with what AI could do to a profession so dependent on actual human intelligence. Fast Company asked architects from some of the top firms working in the U.S. and around the world how AI is making its way into their work and business, and what we might expect to see in the next year as AI adoption continues.

Here’s the question we put to a panel of designers and leaders in architecture: How do you see AI changing architecture in 2026?

Fluid movement

AI is moving from experimentation to expectation, particularly in early-stage exploration. Its real value isn’t replacing creativity but removing friction from the design process and making it easier for architects to express intent and quickly see viable options. We’re moving toward a world where teams can load contextual project data and project outcomes and immediately explore design solutions, without getting bogged down in manual setup or repetitive tasks. With AI that supports seamless collaboration and iteration in context, architects will be able to collaborate freely with stakeholders and move fluidly between ideas, levels of details, and outcomes. The architects who succeed will be those who use AI to expand their creative range and sharpen decision-making, not replace it.

– Amy Bunszel, EVP of architecture, engineering and construction solutions, Autodesk

More rigorous and transparent design process

In 2026, the question will no longer be whether firms use AI, but how responsibly and intentionally they do so. At WXY, we see AI as a way to make design processes more rigorous and transparent, not faster for the sake of efficiency alone. Used well, AI can strengthen analysis, clarify tradeoffs, and support more informed decision-making. Used poorly, it risks flattening complexity and distancing designers from accountability. The fundamental shift that AI will spur at WXY will be cultural, honing our understanding of judgment, authorship, and ethical use rather than the firm’s technical capability.

– Claire Weisz, founding principal, WXY architecture + urban design

Option curation, not object generation

AI will continue to be less about sexy imagery, and more about rapid test-fitting. We’ve already created tools that incorporate climate analysis and evaluate massing iterations to maximize value for our clients. We will continue to develop systems with AI that enable option curation versus object generation, to assist more with early feasibility and storytelling.

– Trent Tesch, principal, KPF

Exploring, but safely

AI is rapidly changing design practice, in everything from the legal review of contracts to building code reviews of design solutions to how we generate design visualization. Its greatest impact to date has been in areas of practice that have large data sets, or that focus on repetitive and easily automated tasks. When it comes to creative exploration, the tools are changing so rapidly that designers are working hard to keep up with everything from protecting our intellectual property to communicating, disseminating, and training applications across the firm. We are already sandboxing AI to help us explore different creative tools safely.

– David Polzin, executive director of Design, CannonDesign

Power of persuasion

AI represents incremental (yet meaningful) gains in nearly every aspect of what we do as designers. From ideation and image generation to geometric optimizations and environmental analysis, AI is helping both architects and engineers move more quickly, be more creative, and communicate more persuasively.

– Colin Koop, partner, SOM

Augmented, not artificial, intelligence

There is an amazing opportunity to test ideas; the challenge is people see it as an opportunity to speed up the process, but that will not happen. It is far more nuanced. We expect to see different types of people come into the profession—coders, data analysts—which will provide an opportunity to analyze how we work and craft a relevant tool to support the design solution. The emergence of AI has sparked debates about the future of design professions, particularly in the built environment sector. However, rather than threatening to replace architects, urban planners, and landscape designers, AI can reshape their role and amplify their capabilities. The design profession of the built environment stands at a crucial intersection where human creativity meets technological advancement, where spatial understanding meets digital simulation, and where physical materiality meets virtual modeling.

Rather than being replaced by AI, design professionals’ roles aren;t diminishing but are evolving, becoming more vital than ever in our increasingly complex urban world. In a pervasive AI world, design and artificial intelligence should complement one another. Perhaps if we replace “artificial” with “augmented” we can get a better understanding how to use this powerful tool.  While AI can process patterns and performance data, it cannot comprehend the subtle cultural tones, and community needs that inform great architecture and urban spaces. Designers bring this crucial layer of human insight, ensuring the built environment is not just technically efficient but culturally meaningful and socially sustainable. The future of architectural and urban design isn’t about choosing between human creativity and artificial intelligence – it’s about leveraging both to create spaces that are more sustainable, livable, and impactful than ever before.

– Nick Leahy, co-CEO and executive director, Perkins Eastman

Human-AI collaboration

In 2026, the biggest challenge is not simply AI itself, but how humans and AI systems collaborate effectively – new workflows, authorship, copyright, ethical frameworks, responsibility of charge, and decision-making approaches to leverage “collaborative intelligence” rather than treating AI as a standalone tool. We have incorporated and will extend the use in 2026, of an AI “embedded partner”—an always-on reasoning layer that synthesizes emails, text, images, slides, presentations, calculation, drawings, data, and real-time context to support architects and engineers across ideation, analysis, images, coordination, presentations, and decision-making, rather than replacing human authorship.

By seamlessly integrating multimodal understanding, rapid scenario evaluation, cross-domain knowledge retrieval, and natural-language collaboration, this cognitive partner enables designers to think faster, test deeper, and act with greater confidence while keeping creative and ethical control firmly human-led. AI-enabled tools will accelerate early-stage design through rapid scenario testing, optimizing massing, structure, energy, carbon, daylight, and indoor air quality simultaneously, allowing teams to explore orders of magnitude more options while focusing human effort on judgment, synthesis, and design intent. Also, this process will be informed by past and present project data.

– Luke Leung, sustainable engineering studio leader, SOM