The British Standards Institution’s recent Trust in AI Poll, a global survey with more than 10,000 respondents across nine countries, shows 45% of people working in the built environment sector globally say their job currently uses artificial intelligence. Of those who do not currently use it, 42% expect to by 2030 and 68% expect the sector overall will, according to Construction Dive.
Designers and contractors are using AI and machine learning to manage data involved with building design, plan construction projects and manage day-to-day operations on job sites. However, this new technology requires learning and development for workers in the construction industry.
Younger generations of workers may be graduating with some knowledge of AI, but too few of those workers are entering the construction industry. This means upskilling and reskilling existing workers is crucial.
Although traditional training methods remain useful, Rahul Shah, global director at the British Standards Institution, says implementing reverse mentoring also could help. Younger workers may lack construction knowledge and experience, but their familiarity with AI tools can be helpful to upskill experienced construction workers. As younger employees help train senior leaders regarding AI and technology, they can absorb their experienced co-workers’ knowledge about the industry. In addition to various generations imparting knowledge, reverse mentorship also establishes team trust and collaboration in an age-diverse workforce.
Education is vital in ensuring the construction workforce can successfully integrate AI tools into daily processes. Effective uses of AI can be a positive change for the construction industry, as well as build relationships across the workforce as workers share their knowledge and skills with others.
