Tip of the spear. Cutting edge. Vanguard. These are not words anyone would associate with the construction industry. And when it comes to the nascent technology of artificial intelligence, the construction industry is right near the bottom for both current and future AI adoption.
According to a McKinsey & Company report, only the travel and tourism and professional services sectors have a lower percentage of firms adopting one or more AI technologies at scale or in a core part of their business. When it comes to the average estimated percentage change in AI spending over the next three years, it only gets worse for the construction industry: it’s dead last.
Being last isn’t always such a bad thing, however. Just like how the youngest child gets to watch their older siblings grow up and learn from their mistakes and capitalize on their successes, the construction industry can look at how other industries are leveraging AI, what works and what doesn’t, and take the fast-track to AI dominance.
The McKinsey report identified five current AI applications being used by other industries that could cause an immediate impact in the construction sector:
• Transportation route optimization algorithms for project planning optimization
• Pharmaceutical outcomes prediction for constructability issues
• Retail supply chain optimization for materials and inventory management
• Robotics for modular or prefabrication construction and 3D printing
• Healthcare image recognition for risk and safety management.
In each of these instances, the construction sector would benefit from the work other industries and sectors are putting in to develop the technology. All construction firms would have to do is swoop in and perfect the technology for their own purposes—easier said than done, but still a better option than starting from scratch.
Related Stories
Big Data | May 5, 2016
Demand for data integration technologies for buildings is expected to soar over the next decade
A Navigant Research report takes a deeper dive to examine where demand will be strongest by region and building type.
BIM and Information Technology | May 2, 2016
How HDR used computational design tools to create Omaha's UNO Baxter Arena
Three years after writing a white paper about designing an arena for the University of Nebraska Omaha, HDR's Matt Goldsberry says it's time to cherry-pick the best problem-solving workflows.
Drones | Apr 25, 2016
The Tremco SkyBEAM UAV is the first to be approved by the FAA for nighttime commercial operation
The SkyBEAM UAV is used for identifying energy leaks, rooftop damage, deteriorating façades, and safety issues without requiring scaffolding or cranes.
BIM and Information Technology | Apr 21, 2016
U.K. imposes BIM requirement on government projects
U.S. unlikely to follow suit.
AEC Tech | Apr 15, 2016
Should architects learn to code?
Even if learning to code does not personally interest you, the growing demand for having these capabilities in an architectural business cannot be overlooked, writes computational design expert Nathan Miller.
Building Tech | Apr 12, 2016
Should we be worried about a tech slowdown?
Is the U.S. in an innovative funk, or is this just the calm before the storm?
BIM and Information Technology | Apr 8, 2016
Turner streamlines construction progress tracking using predictive visual data analytics
The construction giant teams with a computer science and engineering professor to develop a clever drone- and rover-based construction monitoring tool.
BIM and Information Technology | Apr 5, 2016
Interactive 3D map shows present and future Miami skyline
The Downtown Miami Interactive 3-D Skyline Map lets users see the status of every downtown office, retail, residential, and hotel project.
AEC Tech | Mar 31, 2016
Deep Learning + AI: How machines are becoming master problem solvers
Besides revolutionary changes to the world’s workforce, artificial intelligence could have a profound impact on the built environment and the AEC industry.
Big Data | Mar 28, 2016
Predictive analytics: How design firms can benefit from using data to find patterns, trends, and relationships
Branden Collingsworth, HDR’s new Director of Predictive Analytics, clarifies what his team does and how architecture projects can benefit from predictive analytics.
