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Akheel Khan is a South African architectural designer, researcher, educator, and co-founder of the Institute of Building Design, where he heads the AI, machine learning, and deep learning department and trains firm owners and future managers across the AEC industry. He is lead examiner for South Africa's Professional Practice Examination, the exam candidates pass to become registered architectural professionals, and led the integration of emerging technologies, financial literacy, and business into it. Through An Architect, the organization he founded, his team built free preparatory content, workshops, and custom GPTs that helped raise the pass rate, with the country's top-ranked candidate coming out of their groups and classes.
Before co-founding the Institute, he was a Systems Researcher in AI at SAOTA, the Cape Town firm known for high-end residential work, where he led strategy, applied research, and training on AI and emerging design technologies.
Chapters:
00:00 - Meet Akheel Khan
01:37 - Leaving Architecture to Design Clothes
05:16 - Why Akheel Wrote His First Book
07:36 - Calculus and First Principles Thinking
11:08 - Why Every Creative Should Learn a Hard Science
15:37 - AI's Career Midlife Crisis
17:56 - People First: Why "Tool" Is the Wrong Metaphor for AI 23:44 - Why AI Isn't Built for Automation
36:56 - Less Friction Between Thinking and Solving Problems
42:43 - Testing AI Visualization at SAOTA
46:35 - Why AI Image Generation Isn't Rendering
48:08 - What "Render" Really Means
51:05 - When Firms Should Adopt AI Visualization 53:10 - Iteration and Seeing Every Option
56:53 - How Client Expectations Are Changing
1:01:03 - The Human in the Loop Between Revit, RunDiffusion, and Photoshop
1:04:03 - The Learning Curve, Energy Use, and Data Privacy
1:07:51 - Seeking Truth and Building What's Useful
1:11:22 - Architecture After CAD, BIM, and Computation 1:14:36 - A Question for the Next Guest
AI is no longer just speeding up architecture - it's quietly changing what architects, firms, and students are actually supposed to do. Cas Esbach and Tyler Andersen unpack the uncomfortable, exciting middle ground where AI becomes a collaborator, not a replacement, and where the real advantage belongs to people who can still think critically, communicate clearly, and lead the design process.
You’ll discover:
How his students are being challenged to think like “critical designers,” not just fast producers
Why the future of architecture may split between highly bespoke projects and highly efficient, AI-augmented ones
How BIM models, design briefs, and clean data could become the real competitive advantage for firms
Tyler and Cas also get into the practical tension every team is feeling right now - how much to automate, when to protect craft, and how to avoid becoming dependent on tools that make everything look easy while dulling curiosity.
They explore why the most valuable moments still happen at the table, in conversation, when humans review options and make the call together.
This episode is essential listening for architects, designers, students, founders, and anyone trying to understand how AI changes creative work without erasing the human vision that makes the work worth doing.
Chapters:
AI is already reshaping architecture - but the real advantage comes from adopting it with a clear system, not chasing hype. Tyler Andersen sits down with Andrew Rider, Design Technology Lead at BWBR, to unpack how architecture teams can evaluate AI tools, prove value, and use them to do better work for clients.Andrew shares how his path from architecture school to BIM lead to design technology manager gave him an early edge in technology adoption, and why that mindset matters even more now. He breaks down BWBR’s pilot-based approach to testing tools before buying them, what made Run Diffusion stand out in a fast-moving AI landscape, and why visualization has become one of the easiest and most impactful entry points for AI in architecture.You'll discover:
Andrew also shares what he's seeing across teams of all experience levels, why younger professionals are not always the fastest adopters, and how AI is changing the conversation around creativity, efficiency, and client trust without replacing the human relationship at the center of the work.This conversation is especially valuable if you're in architecture, construction, design technology, or any role trying to figure out how to adopt AI without wasting time, budget, or trust.
If you want a practical, optimistic look at where AI is actually useful today and how it may reshape workflows tomorrow, this episode is for you.
From the publisher's feed
Hosted by Tyler Andersen, CEO and co-founder of RunDiffusion, this podcast is about where AI and architecture actually meet, not the hype, the real workflows. Each episode, Tyler sits down with design technology leads, architects, interior designers, and firm leadership from commercial architecture firms working on large-scale projects like healthcare, hospitality, civic, and transportation work, to break down how their teams are actually using AI today: rendering, concept design, client presentations, and the everyday workflow and tooling problems that come with running a modern design team.
Expect honest conversations about what AI tools are actually worth your time, what's still overhyped, and where this is all heading for the architecture profession. If you're leading design technology decisions, running a studio, or just trying to figure out how AI actually fits into serious architecture work, this is for you.
This podcast is brought to you by RunDiffusion, the AI rendering platform built for architecture firms. See what your team could create at rundiffusion.com/industries/architecture.
Host:
Tyler Andersen, Co-Founder & CEO, RunDiffusion: https://www.linkedin.com/in/tyler-w-andersen/