PlanRadar Study Shows 58% of Construction Professionals Use AI, Highlighting Trust Gaps in MENA

Why It Matters

The study provides the most granular, region‑specific data on AI uptake in construction to date, offering investors a clear signal of where demand is strongest and where friction points remain. Trust and integration challenges highlighted by Saudi and UAE respondents could shape product roadmaps for PropTech vendors, pushing them toward transparent AI models and tighter security certifications. Moreover, the link between AI investment and employee retention adds a strategic HR dimension to technology budgeting, suggesting that firms that prioritize AI may gain a competitive edge in talent acquisition and retention. For the broader real‑estate development ecosystem, higher AI adoption can accelerate project timelines, reduce cost overruns, and improve risk management, ultimately influencing the speed and scale at which new properties are delivered. As developers lean on AI‑enabled platforms to meet sustainability targets and tighter regulatory standards, the findings underscore the urgency of addressing accuracy and trust concerns to fully realise AI’s potential in the built environment.

Key Takeaways

• 58% of construction professionals use AI, based on a survey of 1,728 respondents.
• 63% of Saudi and 59% of UAE respondents cite accuracy and trust as the main adoption barrier.
• Nearly half of firms have no current plans to invest further in AI tools.
• Two‑thirds of AI users report saving at least two hours per week per project on admin tasks.
• Four‑in‑five users of central digital tools say AI improves cost control and project margins.

Pulse Analysis

PlanRadar’s data arrives at a pivotal moment when PropTech investors are recalibrating portfolios after a year of mixed returns. The 58% adoption figure confirms that AI is no longer a niche experiment but a mainstream utility in construction workflows. However, the pronounced trust gap—especially in the high‑growth MENA markets—creates a clear opportunity for vendors that can deliver explainable AI and seamless integration. Companies that bundle AI with robust data governance, perhaps leveraging local cloud providers to address privacy concerns, are likely to capture the next tranche of enterprise contracts.

Historically, technology adoption in construction has lagged behind other sectors due to fragmented project teams and legacy processes. The reported productivity gains—two hours saved per week per project—translate into measurable cost reductions at scale, which could shift the cost‑benefit calculus for mid‑size contractors that previously deemed AI too costly. This shift may also spur a wave of M&A activity as larger firms acquire niche AI startups to accelerate internal digital transformation.

Looking forward, the talent retention angle could become a decisive factor for CEOs. If AI investment becomes a differentiator in recruitment, firms that lag in digital spend may face higher turnover, compounding project delays. Consequently, we may see a feedback loop where early AI adopters not only improve margins but also attract and retain top engineering talent, reinforcing their market position. The next six months will likely reveal whether the trust concerns dissipate as pilots mature, setting the stage for a broader capital influx into AI‑focused PropTech solutions.