Key takeaways: AI in construction

• AI adoption in construction is accelerating. The industry is catching up fast to others in manufacturing and logistics — with early adopters already seeing measurable productivity and safety gains.
• Real-world applications are already delivering impact. From autonomous machinery to dynamic pricing models, AI in construction is driving smarter decisions on job sites and across the value chain.
• Scaling AI requires more than technology. Success depends on solving challenges around data integration, upskilling people, and evolving company culture to embrace digital collaboration.
• Partnerships and experimentation fuel progress. Working across OEMs, rental companies, and contractors allows the industry to test, learn, and innovate faster — laying the groundwork for connected intelligence at scale.

AI in Construction: A New Era for the Industry

AI isn’t coming — it’s already here. Across the construction sector, innovative contractors, OEMs, and rental companies are using artificial intelligence to transform how they plan, operate, and collaborate. From smarter scheduling to predictive maintenance and safer job sites, AI in construction is already driving meaningful change.

“AI is not about replacing people; it’s about empowering them to make better decisions faster and with more confidence. When humans and machines collaborate, that’s when progress happens.” — Soeren Brogaard

As Trackunit CEO Soeren Brogaard puts it, “AI is not about replacing people; it’s about empowering them to make better decisions faster.” This shift is redefining what’s possible in fleet management, maintenance, and safety — creating opportunities for an industry long burdened by inefficiencies.

Turning data into intelligent action

The construction industry generates vast amounts of data from machines, sensors, and connected sites. Yet, as Lærke Ullerup, Trackunit’s CMO, highlights in the discussion, “Data only creates value when it’s turned into insight. AI helps us bridge that gap – transforming complexity into clarity.”

“Data only creates value when it’s turned into insight that people can actually use. AI bridges that gap — helping construction teams move from reacting to anticipating what’s next.” — Lærke Ullerup

By processing data at scale, AI identifies patterns, predicts maintenance needs, and helps teams allocate resources before issues arise. For contractors and fleet managers, that means fewer breakdowns, less downtime, and a safer, more predictable workday — proof that AI in construction can convert raw data into smarter action.

Building Trust in Intelligent Systems

While enthusiasm for AI continues to grow, so does the need for transparency and trust. Brogaard emphasizes that “AI must be explainable. Our customers need to understand the ‘why’ behind every recommendation.”

In an industry built on accountability and safety, black-box algorithms won’t cut it. The future of AI in construction depends on systems that support — not dictate — human judgment. That means solutions that are as understandable as they are intelligent.

According to McKinsey’s State of AI in 2025 report, companies adopting transparent AI systems see 20–30% higher adoption rates than those relying on opaque models. The takeaway: trust accelerates transformation.

AI as a Catalyst for a Connected Ecosystem

AI doesn’t just make machines smarter; it connects people. As Ullerup notes, “AI helps us see across the entire ecosystem — OEMs, rental companies, and contractors — and create value together.”

“AI helps us see across the entire ecosystem — OEMs, rental companies, and contractors — and discover how we can create new value together through transparency and shared intelligence.” — Lærke Ullerup

That connected perspective is crucial. When machines communicate seamlessly, and data flows freely between partners, everyone benefits. Downtime decreases, utilization improves, and decisions are made with confidence rather than intuition — showing how AI in construction can unite a traditionally fragmented industry.

The Human Side of AI

For Trackunit, AI isn’t just about automation — it’s about amplification. It’s about helping people at every level of construction make smarter, faster, and safer decisions.

Brogaard concludes, “Our mission has always been to eliminate downtime. AI gives us the tools to go further — to predict, prevent, and continuously improve the way we work.”

AI in construction isn’t a future trend; it’s the foundation for a more connected, data-driven industry that thrives on human insight and collaboration.

About the series: AI in Construction

AI is changing the game for the construction industry, unlocking new possibilities in efficiency, safety, and collaboration. In this series, industry leaders and experts dive into how AI is being integrated across workflows, overcoming key challenges and paving the way for more intelligent, innovative construction practices. Whether it’s predictive maintenance, workforce transformation, or data-driven decision-making, we’ll uncover how AI is driving progress and shaping what’s next for construction.