How AI is transforming construction projects

AI use in construction has surged from 15% to 75% in just two years. That’s not a trend, it’s a transformation. But here’s the real point: adoption alone doesn’t build trust. Just as with BIM, the value of AI isn’t in the algorithms, it’s in how openly data is shared, how responsibly it’s applied, and whether it strengthens collaboration rather than deepens silos. Firms that treat AI as more than compliance or efficiency gain a reputational edge. They signal transparency, foresight, and a commitment to delivering smarter outcomes. The question now isn’t if AI will reshape construction, but whether it will do so in a way that earns trust across the supply chain. What safeguards should we be building into this AI shift to ensure it creates credibility, not just capability? #AI #ConstructionInnovation #DigitalConstruction #TrustBuilding #ReputationManagement #AEC #FutureOfWork Written from my academic and professional perspective. AI tools were only used for clarity or structure. All analysis, tone, and conclusions remain my own. (Declaration aligns with authorship principles from the Committee on Public Ethics (COPE) and leading academic publishers.)

In construction, even small disruptions add up to big costs. That’s why AI adoption is so daunting for the owner/operators using them —not because the tools don’t work, but because they’re bolted onto workflows in ways that disrupt how their estimators, PMs, and crews already operate as a team. Studies show 65% of construction firms aren’t using AI or predictive tools today, despite 74% expecting it could improve cost control and efficiency (Slate AI, 2025). That gap isn’t about skepticism. It’s about fit, and the perception that AI systems come with disruption, and that disruption causes chaos. The real opportunity isn’t to replace people, but to make their jobs easier. When AI is delivered through secure, cloud-based workflows, it can quietly handle repetitive tasks—like pulling data into estimates or updating schedules—while people focus on what machines can’t do: judgment, relationships, and decision-making. That’s also where ROI lives. Research shows AI-driven project management tools can cut delays by up to 30% and reduce project costs by ~20% (CMAA, 2023). But those gains only happen when the technology is adopted seamlessly, without pulling skilled professionals out of their rhythm. Slate AI, AI in Construction 2025 Industry Report CMAA, AI in Construction (2023)

Construction is under pressure - thin margins, overworked teams, and ongoing labour shortages. Can AI help construction build stronger? In our new PBC Today article, KYRO AI and I explore how AI can make the industry smarter, safer and stronger. This is only possible if technology adoption is matched by cultural change. Read the full piece here: https://lnkd.in/g2aRUAxX Nice to be featured in a UK magazine! #Construction #AI #CFMA

🚀 Rethink construction! A breakthrough physical AI system is now transforming heavy construction tasks, making projects faster and safer. 📌 Imagine a world where physical AI systems handle the toughest construction tasks with precision and efficiency. This revolutionary technology isn’t just a concept—it's redefining the construction industry by reducing labor challenges and enhancing productivity. 🔍 A recent implementation reduced task completion time by 30%, illustrating the immense potential for cost savings and improved safety standards. 💬 What are your thoughts on the future of construction with physical AI? How do you see this technology impacting the industry? Let’s discuss 👇 🔗 Read more: https://lnkd.in/g9hp72b3 #ConstructionInnovation #AIAutomation #TechInConstruction #SafetyFirst #FutureOfWork

AI in Construction isn’t about replacing people - it’s about empowering professionals with new capabilities. The construction industry is buzzing with conversations about AI - from design automation to predictive project planning. The latest RICS report makes it clear: optimism is high, but adoption is still low. What struck me most wasn’t just the statistics on integration challenges or poor data quality, but the skills gap. Almost half of organisations see the lack of AI-skilled professionals as the biggest barrier. As someone working at the intersection of construction and digital education, I see this as both a challenge and an opportunity. Technology will only deliver value when people know how to use it effectively. AI in construction is not about replacing engineers, architects, or surveyors - it’s about empowering them with new capabilities. This is where education and upskilling must take centre stage: - Embedding AI literacy in curricula for future professionals. - Designing practical training for today’s workforce to apply AI in design, cost planning, risk management, and sustainability. - Building ethical awareness so that adoption is responsible and trustworthy. If we don’t act now, the gap between ambition and reality will only widen. But if we invest in digital learning pathways, we can unlock AI’s true potential in construction. For me, this isn’t just about technology - it’s about shaping a workforce that’s future-ready, resilient, and confident in navigating digital transformation. How do you see academia and industry working together to close this gap? #AIinConstruction #ConstructionTechnology #BuiltEnvironment #DigitalEducation #Upskilling #FutureSkills #Innovation #FutureOfWork

AI adoption in construction has surged from 15% to 75% in two years, says the Association for Project Management (APM). This is a big leap, considering 63% of project managers had no AI plans in 2023. AI benefits: 62% improved resource allocation 58% better reporting and dashboarding 52% enhanced risk analysis and forecasting 48% task and schedule automation 45% better stakeholder communications 82% of users are using AI more than expected, proving its relevance. Professor Adam Boddison OBE of APM highlights AI's role in aiding, not replacing, project managers by freeing up time and improving decision-making. The Civil Engineering Contractors Association (CECA) backs AI's benefits like better project planning and safety. Key takeaway? AI boosts project efficiency. Training is essential for safe, ethical use. Thoughts on AI in construction? Share your experiences. https://lnkd.in/eP36b3pD #AI #Construction #ProjectManagement #jobsinconstuction #recruitment

This article strikes an important chord. From both a researcher’s and practitioner’s perspective, I see two clear dimensions worth unpacking: 1. The Researcher’s Lens Academically, optimism around AI in construction echoes what we saw with BIM a decade ago: early narratives framed it as a game-changer, but adoption lagged due to integration challenges. The research challenge lies in distinguishing hype from grounded impact. Questions to pursue include: • Where does AI create measurable value (e.g. predictive safety, cost estimation, defect detection)? • How do organisations navigate issues of trust, data governance, and ethical use? • Are integration challenges primarily technical, cultural, or contractual? This is where comparisons with BIM literature are instructive. BIM was less about technology and more about trust, collaboration, and transparency . AI may follow the same trajectory: benefits are real, but only if embedded within organisational culture and industry ecosystems. 2. The Practitioner’s Lens On the ground, contractors and consultants remain torn between enthusiasm and risk. AI pilots in safety monitoring, generative design, and predictive maintenance show promise. Yet, integration hurdles persist: legacy systems, fragmented data, uneven digital maturity, and a workforce that is often undertrained in digital tools. The critical takeaway for practitioners is that AI adoption cannot be a bolt-on. Just as BIM required rethinking workflows, AI demands rethinking processes, skills, and procurement models. Firms that treat AI as a compliance checkbox will struggle; those that weave it into strategy, culture, and client engagement will gain real advantage. In short, the optimism is justified—but realism demands we see AI as part of a broader cultural and systemic shift, not just another software layer. For me, the central insight is this: AI will succeed in construction not because it predicts risks, but because it reshapes relationships, between data, people, and trust. Do you see AI in your own context as primarily a technical tool, or as a cultural disruptor? #AIinConstruction #DigitalTransformation #ConstructionTechnology #BIM #TrustBuilding #ReputationManagement #ConstructionInnovation Written from my academic and professional perspective. AI tools were only used for clarity or structure. All analysis, tone, and conclusions remain my own. (Declaration aligns with authorship principles from the Committee on Public Ethics (COPE) and leading academic publishers.) https://lnkd.in/eF6J-jzH

Keep up to date: AI uptake in construction projects surges to 75% #AI #artificialintelligence #AssociationforProjectManagement

🚧 Exciting start to our new course: AI in Construction 🚧 Yesterday we kicked off with this important question: Why AI in Construction? Instead of jumping into “what AI is,” we explored why it matters for our industry and how to make sure we’re not wasting money chasing trends, but actually getting real ROI from AI. Here are some key takeaways for construction leaders, managers, and contractors: 💰 $15.7 trillion – That’s AI’s projected contribution to the global economy. But in construction, adoption is still slow. ⚠️ 70% of companies using AI fail to see ROI—because they start with “AI for AI’s sake.” We want to be in the 30% who gain value. 📈 20% productivity increase is possible in construction through AI-enabled solutions. 💵 15% cost reduction, which can triple to 5X profit margins. ⏱️ 30% shorter project timelines → faster delivery, fewer delays. 🦺 25–35% fewer accidents—a massive safety impact in one of the most dangerous industries. Instead of asking “How do we use AI?” the better question is: “What problems in construction can AI solve?” That’s the focus of this course: helping students and industry professionals identify real problems, apply AI where it fits, and gain measurable returns rather than just following the hype. 👉 Excited to see where our students and industry partners take this journey.

A sharp rise in the use of Artificial Intelligence (AI) in construction heralds the dawn of a new era in project management, according to a new survey Association for Project Management Full story: