How Generative AI Will Change The Jobs Of Architects And Civil Engineers

  • Published by Forbes March 2024
  • Note: For internal use. Not for circulation outside M Moser
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Architects and engineers are the shapers of our urban landscape. Their work involves balancing meticulous research and design with the ability to innovate and create. Today, AI, and in particular language-based generative AI, is set to revolutionize these fields. The basic idea is that generative AI tools will empower them to streamline workflows and automate repetitive elements of their work leaving them free to focus their human attention on tasks that require real ingenuity and creativity.

 

Generative AI functionality is now a feature of many standard CAD tools, meaning architects and engineers can quickly explore and iterate new design concepts. Designers can simply give the AI tool details about the project goals, location, environment, structural requirements and materials, AI can rapidly create design ideas using generative design algorithms to create candidates using available resources and materials. It can deploy simulations and digital twins, generate project management and budgeting plans and even help to make the construction of buildings and urban structures more sustainable.

 

It also creates opportunities in project management, where routine tasks like scheduling meetings, collating reports and filing regulatory and compliance documents can be automated.

 

Language models can analyze complex building and zoning regulations, and generate predictive insights into issues that could cause delays or bottlenecks during construction. These can be communicated in natural language, meaning that potential problems are more likely to be picked up at an early stage, reducing the risk of costly errors and delays further down the line.

 

Ultimately, the dawn of the generative AI era marks a turning point for anyone involved with architecture, engineering and construction of buildings and public spaces. By understanding how AI can augment and enhance human creativity rather than replace it, it will be possible to drive transformation while increasing productivity, efficiency and sustainability.

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