AI Adoption in Construction: A Culture of Adaptability and Uncertainty
The construction industry is witnessing a significant shift with the increasing importance of AI over the next five years. According to a recent report by Currie & Brown, 77% of global decision makers believe AI will play a key role in construction and infrastructure, while over half claim it outperforms other tools in reducing project uncertainty. However, the adoption of AI is often hindered by an organization's culture and mindset. Research among 1,000 senior decision makers reveals a widening gap between adopters and non-adopters, with only 25% of organizations regularly using AI to identify, monitor, or mitigate risk in their construction projects.
Key Takeaways:
- 77% of global decision makers believe AI will be increasingly important in construction and infrastructure over the next five years.
- 65% of regular AI users believe AI helps mitigate uncertainty, while only 31% of non-adopters think it can help manage uncertainty.
- The key barriers to AI adoption in construction relate mostly to an organization's culture and mindset, with 40% of non-adopters citing lack of expertise and 39% citing resistance to change.
- 49% of regular AI users say uncertainty has accelerated their adoption of AI, while 40% of non-adopters believe uncertainty has slowed their adoption.
- Organizations with a more adaptive culture and openness to innovation (including AI) are better placed to respond to change and build resilience across the value chain.
- Over three-quarters of AI adopters report being very confident in their ability to achieve their project goals.
Statistics:
- 77% of global decision makers believe AI will be increasingly important in construction and infrastructure over the next five years.
- 65% of regular AI users believe AI helps mitigate uncertainty.
- 25% of organizations regularly use AI to identify, monitor, or mitigate risk in their construction projects.
- 48% of non-adopters say uncertainty has slowed their adoption of AI.
- 31% of non-adopters believe AI can help manage uncertainty.
- 40% of non-adopters cite lack of expertise as the reason for not embracing AI.
- 39% of non-adopters quote resistance to change as the reason for not embracing AI.
Sources:
- Currie & Brown
- A report titled [Name of Report], commissioned by Currie & Brown.
- A research among more than 1,000 senior decision makers in global organizations.
- Sean Cole, senior director and global high-tech lead, Currie & Brown.