Plan A, B and C: What the Pandemic Taught Construction
Plan A, B and C: What the Pandemic Taught Construction — And Why It Still Hasn't Fully Learned It
By Steve Lennon
The pandemic was a stress test nobody had ordered. Every industry had to ask the same question: how do we continue to deliver value if some of our fundamental systems and processes are no longer possible?
For most industries, the answers have since been absorbed and built upon. For construction and infrastructure, the lessons were learned — and then, with striking regularity, quietly filed away once the pressure lifted.
That is a problem. Because the conditions that made those lessons urgent have not gone away. They have multiplied.
There is more to unlearn than to learn
Before anything else, I want to put the hardest observation on the table: in my experience working with construction and infrastructure organisations, the primary obstacle to digital adoption is not a knowledge deficit. It is an unlearning deficit.
Decades of manual workflows, conservative procurement models, risk-averse tender frameworks and project delivery assumptions built for a stable world have accumulated into a set of deeply embedded practices that actively resist change. You cannot solve that by running a technology workshop or procuring a new platform. The mental models have to shift first — and that requires a deliberate, uncomfortable process of questioning practices that have worked well enough for long enough to feel like fixtures.
There might be more that we need to unlearn than learn. That is still the most important sentence I can offer the industry.
Using technology to stay productive in an uncertain labour market
The pandemic exposed what was already structurally true: the construction sector faces ongoing and significant workforce constraints. Skilled trades are short. Specialist technical roles take years to fill. Immigration flows are variable. The industry cannot plan on having the people it needs, where it needs them, when it needs them.
The response is not to replace people — it never has been — but to use technology to make the people we have dramatically more productive, and to automate the monitoring and inspection tasks that consume skilled time without requiring skilled judgment. Digital asset inspection, remote sensing and intelligent automation are proven. Drones and LiDAR are no longer experimental.
The gap is not capability. It is adoption at scale. And the barrier is still, in most cases, the procurement framework: the business case for technology is a lifecycle argument, evaluated against an upfront cost criterion.
Having a Plan B — and a Plan C
The pandemic revealed how single-threaded most supply chain thinking was. Organisations sourcing materials from a single geography through a single logistics pathway discovered very quickly what happens when that pathway closes.
The lesson should have been generalised. Instead, most of the industry drew a specific conclusion about pandemic preparedness and moved on. The subsequent years have kept making the same argument: geopolitical tensions affecting critical component supply from Asia, US tariff unpredictability creating cost volatility, extreme weather disrupting domestic programs with increasing frequency.
The organisations navigating this environment well are the ones that have built genuine Plan B and Plan C thinking into their procurement and design decisions — not as a contingency document sitting in a folder, but as an active, regularly tested assumption about what they will do when conditions change. Because conditions will change. The pandemic proved it. Everything since has reinforced it.
Designing for a world that keeps moving
The most powerful tool now available for Plan B and Plan C thinking in construction is the Digital Twin — designing an asset in a digital environment before committing to physical construction. When you design digitally, you can test how a design holds up against multiple scenarios: different supply chain configurations, different climate projections, different usage patterns, different maintenance regimes.
In 2022 this was an emerging practice. In 2025, AI-enhanced Digital Twins can generate and evaluate hundreds of design variants against different scenarios in the time it used to take to produce one. Supply chain AI tools can identify concentration risks and model disruption impacts before procurement decisions are locked in. Predictive maintenance AI can model an asset's performance and failure modes over decades before a single beam is placed.
Everything the industry said it needed to do in response to the pandemic — design for volatility, build supply chain resilience, use digital environments to test assumptions — is now executable at a fidelity and speed that was not available three years ago. The tools have arrived. The unlearning still has not.
Australia's infrastructure pipeline represents a genuine generational opportunity — and a genuine generational risk. Committed projects outstrip the industry's demonstrated capacity to deliver them on time and on budget. Closing that gap requires technology adoption at a pace the sector has not previously managed.
The pandemic gave us the argument. The AI tools now exist to act on it. The only remaining question is whether the industry will do the unlearning.
