Proving AI Value in Architecture and Construction With Nemetschek
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Proving AI Value in Architecture and Construction With Nemetschek

B2Upper-intermediateSeptember 17, 202635 min
  • Interview
  • Technology

How much of construction's cost, delay, and waste begins with information that fails to survive the journey from design to delivery? That question runs through my conversation with Julian Geiger, Chief AI Officer at Nemetschek Group, as we look at the practical role of AI across architecture, engineering, construction, and operations. Julian describes what he calls the industry's 90, 40, 20 problem. According to the figures he shares, 90 percent of projects are over budget or over time, the built world accounts for roughly 40 percent of global carbon emissions, and around 20 percent of material is wasted. His argument is that many...

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and what reliable AI might look like when firms lack a clean baseline.

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need clearer treatment, and why the best operating model might be simple. AI proposes while a

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0:30

What happens when every building is a prototype? Every handover loses information and mistakes become far too expensive once crews and materials reach the site. Well, today I'm going to be joined by Julian Geiger, Chief AI Officer at Nemechek Group.

0:53

And together we're going to examine where AI can make a practical difference across architecture, engineering, construction and building operations. So we'll discuss why some calculations should never be handed to a language model, how digital twins and building information modeling can actually expose problems earlier,

1:15

and what reliable AI might look like when firms lack a clean baseline. line. And Julian will also explain why data sovereignty and intellectual property all need clearer treatment, and why the best operating model might be simple. AI proposes while a qualified human decides. So if you work anywhere near enterprise AI, that distinction alone

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