What is generative construction?

It describes an AI-enhanced approach to constructing buildings and structures that use technologies, such as machine learning and generative AI to help with a wide range of tasks in architecture, engineering, and construction.

Some examples include:

• Building designs can be created automatically, or semi-automatically, with humans deciding what parameters the AI system should use to create a building — such as a specific size, price, and so on. The AI can then model different buildings that fit with the desired details. Then, the humans can decide which ideas and designs to use.
• AI systems can simulate what the building process will look like. This helps with scheduling, deadlines, materials quantities, and site timing, and so on. Workflows are better and the overall construction process gets cheaper, faster, and more efficient. Digital twinning can be used as well to have exact models of a project at any time during the build.
• Buildings can be optimized for specific goals, such as low energy use, low emissions, and so on. Simulating different scenarios and incorporating a wide range of data points helps while consuming less human employee time.
• AI reduces risks during the construction process, e.g. via predictive maintenance for construction equipment, or since potential risks can be found early on when the construction process is simulated.
• Automating, or partially automating, processes, such as writing contracts, subcontracts, requests for information, and so on also helps make large and bureaucratic construction projects easier to handle, cheaper, and reduces timelines.

Generative construction should help combat significant cost and logistics issues and make new construction projects more affordable and efficient. Since large portions of the infrastructure in many countries, including much of Europe and the US, are aging, this tech can also be used for upgrading and expanding infrastructure efficiently.

Generative Construction Winners

While construction and engineering companies are obvious beneficiaries of this technology, they aren’t necessarily the best investments if you want to benefit from the impact that AI will have on the industry.

Instead, tech companies that power this trend are a better way to play this MegaTrend right now: Autodesk (ADSK) is a software design company that already offers building design software to its customers and that adds more and more generative design capabilities to its solutions.

NVIDIA (NVDA) benefits as well, as digital twinning, AI algorithms, generative software, and so on require a lot of processing power. NVDA’s graphical processing units (GPUs) provide that. More usage of generative construction means more demand for NVDA chips.

Investors that are interested in broader exposure to the world of tech and Artificial Intelligence should take a look at our top picks.