What happens when AI collides with one of the world’s oldest industries?
In this episode of The Fork in the Road, Perry S. Kaufman sits down with Patrick Murphy, Co-Founder and CEO of Maket, an AI-powered platform transforming how homes are designed. Maket allows homeowners and builders to instantly generate and customize residential floorplans, giving everyday people access to tools that once belonged only to architects and specialists.
Patrick shares the founder story behind Maket, the friction of building an AI company in a slow-moving industry, and why housing has become one of the biggest systems problems in the world. The conversation explores the future of AI-assisted architecture, affordable housing, design accessibility, and the challenge of balancing creativity with real-world practicality.
With more than 900,000 registered users, Maket is quickly becoming one of the most talked-about companies at the intersection of AI, housing, and design technology.
Topics discussed include:
• AI-generated architecture
• The future of residential design
• Affordable housing and technology
• Why architecture has remained inaccessible
• Founder lessons from scaling an AI startup
• The emotional impact of designing your own home
• Technology adoption in traditional industries
• How AI is changing the built environment
• Product-market fit and startup growth
• The future of housing infrastructure
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Chapters / Timestamps
00:00 Intro
01:12 Meet Patrick Murphy and Maket
03:08 The origin story behind the company
06:25 Why housing became a systems problem
09:14 What traditional architecture gets wrong
12:40 How Maket’s AI platform works
16:18 Democratizing home design
20:11 Why AI and housing move at different speeds
24:05 The emotional reaction users have to designing homes
28:16 The biggest misconceptions about AI architecture
32:47 Affordable housing and the role of technology
37:22 When Patrick realized Maket was becoming real
41:35 The challenges of scaling an AI company
46:50 Trust, regulation, and the future of housing
52:08 What most people still don’t understand about AI design
57:41 What success looks like now
01:01:20 Final thoughts
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