As construction, infrastructure, and digital engineering businesses embrace rapid technological transformation, leaders face a critical challenge: how to integrate AI in a way that drives real competitive advantage, specifically how AI can be leveraged to optimise project delivery, enhance decision-making, and future-proof operations.
We spoke with Dr. Nathan Kirchner, Founder and Managing Director of Grey Wall Advisory and Founder of Presien. Nathan helps organisations navigate complex AI transformations and is passionate about equipping teams and organisations with the tools and insights to lead in the era of intelligent infrastructure. He also regularly writes on his experiences and shares detailed insights on his blog Ideas Happen and his LinkedIn Newsletter.
FuturePlace: Digital engineering is evolving rapidly. How do you see AI reshaping the strategic management of construction and infrastructure projects over the next five years?
Dr Nathan Kirchner: The immediate opportunity for AI in construction and infrastructure lies not in far-off science fiction, but in dramatically accelerating the workflows, tasks, and processes that already underpin project delivery. AI can optimise routine activities such as scheduling, document management, progress tracking, and design coordination, reducing time burdens on staff and freeing them to focus on higher-value decisions. For example, consider that nearly 40% of the workforce in construction is office-based. If every one of those workers had their weekly workload accelerated by AI by just five minutes, the result would equate to approximately $15 billion in labour cost savings annually. That is a staggering number, especially given how modest the efficiency gain is. Over the next five years, these “small” accelerations will add up to profound shifts in strategic management: faster reporting, better real-time visibility into projects, earlier detection of risks, and more robust decision-making at scale. Rather than replacing expertise, AI is poised to become a force multiplier, giving leaders the ability to steer projects with greater clarity and agility. The competitive advantage will go to those who harness these immediate, tangible opportunities rather than waiting for AI to mature.
FuturePlace: What are the biggest challenges organisations face when integrating AI into existing digital workflows, and how can leaders overcome them?
Dr Nathan Kirchner: The greatest challenge today is not the lack of technology, but the sheer volume of AI hype and noise that clouds decision-making. Social media and mainstream outlets often showcase back-flipping robots or spectacular demonstrations of AI, which, while entertaining, have little practical application on a construction site. This spectacle can distort executive focus, leading to initiatives that prioritise “photo-worthy” AI pilots over initiatives that quietly but meaningfully drive ROI. The reality is that the journalist’s camera loves the back-flipping robot, but a bottom-line-saving AI that automates repetitive reporting or improves forecasting is far more valuable to the business. Leaders need to resist the temptation to “boil the ocean” with glamour-heavy programs and instead target specific, invisible pain points where AI can generate measurable benefits quickly. Overcoming this challenge requires reframing the conversation: positioning AI not as a flashy gadget, but as a practical enabler of efficiency and risk reduction. Communicating that value clearly, showing how invisible AI solutions can directly save millions, helps cut through the noise. The organisations that succeed will be those that embrace pragmatic, incremental steps rather than chasing headline-grabbing but impractical solutions.
FuturePlace: From a leadership perspective, how should senior managers balance investment in AI tools with workforce training and organisational culture?
Dr Nathan Kirchner: The key lies in framing. When AI is presented as a catalyst that empowers staff with “superhuman” abilities, the capacity to get through work faster, easier, and with less frustration, it is embraced as a cultural positive rather than a threat. Leaders must emphasise that AI is not replacing people, but equipping them to achieve more. Workforce training should therefore begin not with complex technical instruction, but with normalisation. Making it clear that “not knowing” does not mean “not capable” is crucial. In fact, many of the most effective AI tools are trivially easy to use; the barrier is often awareness and fear of the unknown. Training programs should focus on reducing that fear, building confidence, and creating safe spaces for experimentation. Embedding AI literacy into the culture ensures that staff at all levels feel included in the journey, rather than sidelined by it. This balance of investment, in both tools and culture, is what unlocks adoption. AI that is positioned as empowering rather than intimidating will accelerate not just workflows, but also morale, productivity, and the organisation’s ability to adapt in a rapidly changing industry.
FuturePlace: Can you give examples of how AI has been successfully applied in digital engineering to improve efficiency, decision-making, or risk management?
Dr Nathan Kirchner: AI’s strength lies in handling the heavy lifting of complex workflows so that human expertise can be reserved for high-order tasks. Traditionally, the same engineer or manager who is responsible for strategic decisions also spends significant time buried in repetitive data processing or modelling tasks. With AI, much of this pre-work is automated, enabling experts to reach the “top-order” tasks sooner, and with far less fatigue. This shift directly enhances efficiency and improves outcomes where they matter most. For instance, in design coordination, AI systems can quickly detect clashes or inconsistencies across models, saving countless hours of manual checking. In project controls, AI-driven forecasting can anticipate delays or budget overruns, enabling managers to intervene earlier. These applications are not theoretical, they are already being used to reduce risk and sharpen decision-making across major projects. The cultural impact is equally important: by reducing the burden of rote tasks, AI helps teams focus energy on solving problems, collaborating, and innovating. Ultimately, the organisations that integrate AI into day-to-day workflows will see both immediate efficiency gains and long-term improvements in resilience and decision quality.
FuturePlace: What advice would you give to digital engineers and their executives on adopting AI strategically, rather than as a “buzzword” initiative?
Dr Nathan Kirchner: The most important advice is to steer clear of analysis paralysis and resist external pressure to chase grand, showy initiatives. Stakeholders and “helicopter” executives often want to see bold, sweeping projects that make headlines, but these can be difficult to execute and may fail to deliver sustainable value. Instead, focus on achievable wins. Significant impact can be achieved by stacking smaller, incremental improvements, automating a reporting process here, accelerating design coordination there, each of which adds tangible efficiency and cost savings. These smaller impacts are not only more realistic and adoptable, they also build momentum and confidence across the organisation. Success compounds when AI is seen as a practical tool, not a buzzword. For executives, this means resisting the urge to “boil the ocean” and instead championing a portfolio of pragmatic AI initiatives that directly support existing workflows and business goals. For engineers, it means embracing AI as a partner that enhances rather than replaces their expertise. Taken together, this approach ensures adoption is sustainable, measurable, and value-driven, rather than fleetingly fashionable.
I regularly write on my experiences and share detailed insights on these topics on my blog Ideas Happen and LinkedIn Newsletter and see https://www.intelligencelabs.co/ for an action biased course that empowers you to cut through the AI hype and noise to deliver immediate impact. Check it out!
Nathan will be sharing more of his expertise on stage in-person at the 5th Annual Digital Built World Summit. Click here to view his session details and learn more about the event.
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