Exploring the Cultural Divide in AI Adoption within Construction Industry

The Impact of AI in the Construction Industry: Bridging the Cultural Gap

In recent years, the construction industry has seen significant shifts driven by technological advancements. A notable player in this evolution is artificial intelligence (AI). According to a recent study commissioned by Currie & Brown, a leader in cost management and project planning, an overwhelming 77% of global decision-makers recognize the increasing significance of AI in construction and infrastructure over the next five years. This statistic is a reflection not only of technological momentum but also of a deeper cultural paradigm that exists within organizations.

The research, titled Building Certainty in an Era of Relentless Change, surveyed over 1,000 senior decision-makers from various global organizations. The findings reveal a concerning gap between those who embrace AI and those who do not. The disparity is evident not just in the technology used but also in the attitudes organizations hold towards uncertainty and change.

The Culture of AI Adoption

While over half of the respondents believe AI provides a competitive edge in reducing project uncertainties, it is alarming that only 25% of organizations regularly utilize AI tools to detect, monitor, or mitigate risks in construction projects. Furthermore, a staggering 20% of organizations are not utilizing AI at all—this represents a missed opportunity in risk management and operational efficiency.

Among non-adopters, almost half (48%) cited uncertainty as a barrier to implementing AI, while only 31% viewed AI as a tool capable of managing such uncertainties. This perspective highlights a crucial interplay between mindset and technology adoption in the construction sector. On the contrary, a significant proportion of regular users—49%—indicated that uncertainty has propelled them towards AI adoption. Of these, 65% believe that AI helps in managing uncertainties effectively.

Barriers to Adoption: Culture and Mindset

The report underscores that the primary obstacles to AI adoption correlate significantly with an organization's cultural readiness for change. In fact, 40% of those who abstain from using AI point to a lack of expertise within their teams as a reason for non-adoption. Furthermore, 39% referenced resistance to change, demonstrating that the barriers are not purely technological but also deeply ingrained in organizational culture.

Organizations characterized by a culture of adaptability and innovation are more resilient and equipped to handle change. In fact, the data suggests that more than three-quarters of AI adopters feel very confident about achieving their project objectives, showcasing the direct association between a progressive culture and successful technology implementation.

A Call to Action

Sean Cole, a Senior Director and Global High-Tech Lead at Currie & Brown, articulates a clear message: “The organizations that most need technology to reduce uncertainty are the least likely to adopt it. That’s a risk in itself.” AI holds substantial potential to alleviate risk, enhance performance, and strengthen project delivery. Yet, Cole stresses that to genuinely harness this potential, organizations must foster a mindset that embraces change.

He elaborates, “Delivering certainty starts with mindset. It means thinking differently, acting faster, and adapting continuously. Certainty and resilience aren't just by-products of technology. They're the result of deliberate, focused leadership.”

Conclusion

As the construction industry grapples with evolving challenges, the imperative to bridge the cultural gap in AI adoption becomes ever clearer. While technology can serve as a powerful ally in navigating uncertainty, it is the organizational culture promoting openness and adaptability that will ultimately define success. To leverage AI for enhanced performance and project delivery, leaders must prioritize cultivating a collaborative, innovative environment. The way forward lies not just in understanding technology but in embracing a new mindset prepared for continual adaptation and growth.