90 edition 63 - 2019 91edition 63 - 2019

AI in

Arc

hite

ctur

e

Natasha LUTHRAJacobs

Potential impacts of AI to the architecture...

AI will have a huge impact on professional service industries like architecture. AI has the potential to exponentially broaden the scope of our ability to provide services both by eliminating duplication through automation and expanding problem solving through leveraging artificial intelligence processes.

Today, we are at the beginning of this journey and I do not believe we are leveraging true AI yet in the industry. The field itself is in its infancy and the design and construction community is not known for being at the forefront of new technology revolutions.

Definition of “architect” and AI...

The definition of what an architect ishas been changing over time. The

traditional definition of architects being “master builders” has not been true for

our industry for a while now. I believe that architects now specialize in being

“master collaborators” as well as trusted advisors to our clients. In that light, I don’t

see AI replacing the role of the architect, only enhancing it.

AI will have a huge impact on professional service industries

like architecture. AI has the potential to exponentially broaden the scope of our

ability to provide services both by eliminating duplication

through automation and expanding problem solving through leveraging artificial

intelligence processes.

Innovations & opportunities that come with AI...

I think this technology will create opportunities for architects in many fields. Architects are typically both the big picture people (able to see how many unrelated things are connected) as well as the highly detailed technical experts. If AI can drive some of the minutiae of technical detail in many fields, then architects could drive the big picture thinking those fields even if they are not technical experts in the same.

In the short term, architects that embrace technology and AI can help to bring the entire construction industry forward. We can continue to be the trusted advisors to client in new technologies and help our construction partners leverage the value of this technology as well.

Keeping up the new era...

Architects should understand that new technology is coming, whether we like it or

not; we need to find a way to embrace it and use it as a strength. Let’s start the obvious, we have all spent large swathes of our time

doing repetitive tasks that add no value to our expertise; if we began to automate these tasks (the precursor to leveraging

Artificial Intelligence) we can spend more valuable time in the intangible design and problem-solving portions of our work. As

the technology matures we can conceivably think of it less like a tool and more like a

partner in helping us think, design and execute our ideas.

Source: Conor Gantly,Project Dissertationfor the Degree ofMSc in ConstructionManagement at CityUniversity of London

How much time per day do you spenddoing non technical / repetitive tasks(creating forms, documents,file admin, timesheets etc.)?

17.1%

17.1%

34.1%

29.3%

0-1 Hrs

1-2 Hrs

2-3 Hrs

3+ Hrs

N/A

Source: Conor Gantly,Project Dissertationfor the Degree ofMSc in ConstructionManagement at CityUniversity of London

Do you think AI will disrupt theconstruction industry?

Yes

No

Don't know

41.5% 19.5%

39%

92 edition 63 - 2019 93edition 63 - 2019

AI in

Arc

hite

ctur

e

Architects are typically both the big picture people (able to see how many unrelated things are connected) as well as the highly detailed technical experts. If AI can drive some of the minutiae of technical detail in many fields, then architects could drive the big picture thinking those fields even if they are not technical experts in the same.

Changes in the production of architecture...

This change is hard to predict currently. We are at a time of great experimentation

and AI technology itself is still maturing in many ways. As I mentioned, in the short term I see automation and the gathering

and availability of big data as driving changes in design and construction

right now. These technologies can be considered as precursors to artificial

intelligence in that AI will need data to anticipate solutions and use automation

to deliver these solutions to us.

Expectations & foresights...

I foresee the design and construction sectors ability to serve a much larger population across the globe as the biggest change to our industry. New construction methods like 3D printing will allow us to build more rapidly and the use of AI will allow us to rapidly customize our design intent and address local needs of our clients in a more nuanced and thoughtful way.

AI & sustainability...

The impact of AI on sustainability can be tremendous if we direct our resources

appropriately.

We already know how to design high performance, energy-efficient buildings but are unable to execute this on a large scale due to cost and labor implications. As AI and new construction technologies

mature, we will be able to build these high-performance buildings at a lower cost

making them more widespread.

We can also drive the use of AI in the initial planning or restoration design process helping us optimize the use of existing building stock helping us build a more sustainable world.

Essentially, AI will allow us to multiple our expertise and talents in fundamental ways, it is up to us as architects to decide what to magnify. ■

The impact of AI on sustainability can be tremendous if we direct our resources appropriately. We

already know how to design high performance, energy-efficient

buildings but are unable to execute this on a large scale due to cost

and labor implications. As AI and new construction technologies mature, we will be able to build

these high-performance buildings at a lower cost making them more

widespread.

Source: Conor Gantly,Project Dissertationfor the Degree ofMSc in ConstructionManagement at CityUniversity of London

Now

1-2 years

2-5 years

5-10 years

10-15 years

15+ years

Never

When do you think we will see AIimplemented meaningfully in the construction industry?

29.3%

14.6%

22%

26.8%

Challenges Facing AI in Construction

Collaboration

System Fragmentation

Lack of Evidence AI Works

Technology

Lack of Investment in R&D

Security

Project Uniqueness

Health & Safety

Lack of Right Data

Training

Trialling

Loss of Jobs

High Costs

Resistance to Change

0 2 4 6 8 10 12 14

Number of MentionsSource: Conor Gantly,

Project Dissertationfor the Degree of

MSc in ConstructionManagement at City

University of London