AI, Data, and Circular Design: Rethinking Architecture's Material Future with Christopher Bamborough

What happens when architecture starts shifting from a profession built on forms and materials to one shaped by data, circularity, and AI?

In this episode, host Aya Schlochter sits down with Dr. Christopher Bamborough, postdoctoral research fellow at the University of New South Wales and the ARC Centre for Next Generation Architectural Manufacturing, to explore how intelligent systems are changing the future of design practice.

Chris shares how his path moved from architecture practice in the UK and Australia into teaching, research, digital fabrication, and computational design. The conversation goes deep on data as a cultural and historical construct, why architects need to stay critical of AI-generated outputs, and how circular design could transform the way buildings are made, used, and reused.

Key Takeaways:

AI is most valuable when it helps solve problems that are too complex for humans to manage alone.

Data is not neutral; it is shaped by culture, intent, and the decisions behind what gets collected.

Architects should collaborate with AI, not simply offload work to it.

Local LLMs may offer a more controlled, private way to work with AI.

Circular design reframes buildings as material banks that should be designed for disassembly and reuse.

Form follows availability is a powerful way to rethink how architecture responds to material scarcity.

Agentic AI introduces major opportunities, but also serious questions around consent, ethics, and control.

The future of architecture will likely depend on how well firms balance creativity, data, and responsibility.