What AI Still Gets Wrong in Construction | Matthew Hallowell, Gray
Hawkins Street AI
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What AI Still Gets Wrong in Construction | Matthew Hallowell, Gray
57 просмотров · 4 дн. назад
Hawkins Street AI
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57 просмотров · 4 дн. назад
Buildings have been making automatic decisions for decades. So why is so much of preconstruction still manual—and how much of it should we trust AI to handle?
Matthew Hallowell of Gray joins host Karisa Maxwell McKee to unpack the connection between building automation and today’s construction AI. With a background in electrical engineering and automation, Matthew brings a practical perspective to estimating, bid leveling, and the judgment that comes from years on the job.
They discuss where AI can take repetitive work off a construction team’s plate, why confident answers still need scrutiny, and a bigger question: if AI does the entry-level work, how does the next generation gain experience?
Plus: digital twins, humanoid robots, and a round of “Would you trust AI with that?”
CHAPTERS
00:00 Can AI replace the experience younger engineers need?
00:54 Meet Matthew Hollowell of Gray
02:35 From electrical engineering to building automation
05:23 The automated systems working around us
10:58 What it takes to make automation work
13:29 Why preconstruction is still so manual
15:44 Design-build and rising client expectations
20:13 AI confidence versus construction knowledge
23:40 Training the next generation alongside AI
25:21 Catching code requirements and repeat mistakes
29:27 AI as an assistant for bid leveling
35:25 Do humanoid robots belong in construction?
39:07 Digital twins and catching field problems
44:45 Would you trust AI with that?
49:29 Meet Hawkins Street AI
50:14 More decisions Matthew would—and wouldn’t—give AI
55:03 What happens when we automate away every challenge?
1:02:42 Final thoughts
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