“ Adjacent industries , such as transportation and manufacturing , are already in the process of breaking down the barriers between one another and operating more as ecosystems ” — McKinsey planning through to post-construction . It can also use information , such as budget , dimensions , and proposed materials , to generate workable construction plans to specification . Elsewhere , automated robotics can produce the structural elements of a building for assembly by human workers on-site , while on-site robotics could be deployed for physical construction with calculable precision .
In 2018 , McKinsey ’ s ‘ Artificial intelligence : Construction technology ’ s next frontier ’ highlighted AI as becoming increasingly important at an end-toend level in the industry , and since then the advent of 5G has blown open new possibilities for data collection and analysis that stand to enhance AI ’ s capabilities even further . McKinsey ’ s article said that , while AI adoption in the engineering and construction industry would prove to be modest in the immediate future , there is an additional driver of the industry ’ s shift towards intelligent solutions . “ Indeed , adjacent industries , such as transportation and manufacturing , are already in the process of breaking down the barriers between one another and operating more as ecosystems ( for example , solutions , tools , and algorithms that were industry-specific are more likely to become effective having impact across industries )— increasing the threat of competition
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