Is AI a threat or an opportunity for the construction industry — and what does Eric Bugeja think?
Eric Bugeja frames AI not as a Terminator-style existential threat, but as a powerful tool whose value is entirely determined by the quality and structure of the data it is trained on. For the construction industry — which has a long history of underreporting project failures and maintaining fragmented information environments — this distinction is critical: AI trained on incomplete or inaccurate historical data does not solve those problems. It scales them.
Bugeja is candid that even as a long-time technology enthusiast, the current capabilities of AI genuinely surprised him. But that enthusiasm is grounded in a clear-eyed warning. The construction sector has routinely failed to capture what actually happened on projects — a programme that looked successful on paper may never have been updated to reflect delays, overruns, or decisions made in the field. If AI learns from that incomplete record, it risks recommending those same flawed approaches on future projects, repeating poor decisions at greater speed and scale. As Bugeja puts it, going further down that path makes it harder, not easier, to recover.
The flip side is genuinely promising. A growing portion of the industry has adopted structured data frameworks — built on open standards like IFC, IDS, and BCF — that give AI a reliable, consistent foundation to work from. Where that structured information is in place, AI has real potential to generate meaningful results. You can listen to the full conversation on Listenly to hear Bugeja's detailed take on how the industry's data habits will shape its AI future.
"AI systems are only as good as the data that they are trained on. If our information environments are fragmented and inconsistent and ungoverned, then AI doesn't solve that problem. It actually scales it."— Eric Bugeja, Chairperson, buildingSMART Australasia
Why this matters for IFC
IFC files — the open standard format championed by buildingSMART — are designed to remain accessible for 30 years or more, independent of any specific software version. When project information is stored in structured, standards-based formats like IFC rather than proprietary silos, it becomes the kind of governed, consistent data that AI can actually learn from reliably. This long-term interoperability is exactly what makes structured data a competitive advantage in the AI era.
About Eric Bugeja
Bugeja's path into construction technology is unusually broad. He began his career as a mechanical engineer in a two-man consultancy led by a highly experienced Dutch engineer in his 60s — an environment that gave him remarkable freedom, as a graduate, to experiment with emerging design software. That early exposure to what technology could do when given proper conditions shaped everything that followed. He moved through manufacturing automation and food processing consultancy before transitioning into senior BIM leadership roles at large design and construction firms, where he built digital strategies and drove the adoption of structured data at scale.
He now runs Kefron, his own consulting and training business focused on open standards and digital engineering, while serving voluntarily — like the vast majority of people in the buildingSMART network — as Chairperson of buildingSMART Australasia and Director of buildingSMART International. buildingSMART, founded in the late 1990s initially by software vendors seeking to enable information sharing, now spans 40 chapters worldwide as of 2025. Bugeja's dual role — practitioner and standards advocate — gives his perspective on AI and data quality a grounding that pure technologists rarely have. He is not speculating about what bad data does to AI outputs; he has spent his career inside the information environments where those decisions are made.