Architects are sitting on a data gold mine, and Anthropic and other frontier AI labs can’t get to it

FastCompany: Architecture may be one of AI ’s hardest pursuits. Unlike coding or writing, the data that could be used to train an architecture AI model is not widely available (or stealable ) online. Rather, it’s stored away in the servers and physical filing cabinets of individual architecture firms. Digital drawings, 3D models, and even hand sketches are the blood and guts of an architecture project, and they’re all vastly more complicated than the résumé writing or HTML coding that AI tools have quickly mastered. None of the big AI labs are currently attempting to tackle this challenge.

That’s leaving the job up to the companies that actually hold all the data: the architecture firms themselves. Architecture firms, both small and large, are actively building out their AI capabilities. They’re hiring data scientists and machine learning specialists. They’re running Shark Tank -style AI ideas competitions, vibe-coding bespoke plugins and apps to automate highly specific tasks, and even developing their own hyper-niche large language models that can help them create building forms and floor plans that reflect their signature style.

[Image: Courtesy Gensler] All this effort amounts to a broad recognition from across the industry that it’s a sink-or-swim moment for architecture. As the practitioners change the way they work—and as client expectations shift—some architecture firms are starting to realize that their own portfolios contain exactly the kind of information that can help them stand out in a business that’s only getting more competitive. “Everyone has their little gold mine they’re sitting on, with all this data of past projects they’ve done,” says Faizan Zaidi, director of design technology at the architecture firm Spectorgroup .

“But the question comes down to which firms are willing to build the tools on top of it.” Architecture’s AI awakening “Four years ago I got introduced to Dall-E , which I think was, for a lot of us, an awakening,” says Matthias Hollwich, cofounder of the 15-person New York-based architecture firm HWKN . “I decided to throw the whole office into an AI exploration for three months.” Since that watershed moment in 2022, the number and variety of AI tools has exploded, and Hollwich has built on his early adoption. His firm is now regularly using many AI tools for its office, residential, and hospitality projects.

Here are a few: · NYC Zoning AI for zoning analysis and building massing that gives projects an overall size and shape · Midjourney , MNML , XFigura , and Nano Banana for conceptual designs and renderings · TestFit and Forma for site plans and analysis · Maket for floor plans · PermitProof and UpCodes for building code compliance · Swapp for construction documents · Architectures for building information modeling ( BIM ) to digitally link 3D models and construction documents Hollwich contends that the tools have fundamentally changed his firm’s approach to design, as well as what his firm actually produces.

“Currently, most architects are trying to use AI to optimize the process, or maybe intensify some of their designs,” he says. “What we have done after these experiments is almost take a step back and say, no, this is actually bigger than just using these tools to come up with a better way to design the buildings. . . . There’s a new ideology that is emerging.” The tools speed up the process of developing design concepts and ease the complexities of translating initial designs into wood and steel on a permitted construction site.

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The article highlights a significant trend in the architecture industry regarding AI integration, which is impactful for brand strategy professionals looking to innovate and leverage data, while also presenting a relatively new perspective on data utilization in design.