Great engineering starts where certainty ends

Engineering is a profession built on answers. Clients expect them. Regulators demand them. Projects depend on them. From the earliest days of training, engineers learn to define problems clearly, apply rigorous methods and arrive at solutions that hold up under scrutiny. That deep instinct of precision and certainty is what makes engineering work. It's also what makes innovation difficult.

McKinsey estimates the world will need $106 trillion in infrastructure investment through 2040 across transport, energy, digital, water and social systems that are increasingly interdependent. That pipeline is too large and too complex for engineering to run on yesterday's delivery models. In addition to the demands, an urgency exists because 44% of engineering leaders believe their organisations risk losing significant market share if they can’t accelerate innovation within five years.

I recently joined my indudstry peers in Create Magazine to pull back the curtain and share what innovation looks and feels like inside the walls of our respective organisations, and what we can do to nurture and accelerate it. The conversation accurately depicts real-world client problems where the solution isn’t always known.

Engineers are inherent problem solvers, always one step ahead: designing workarounds on live projects and quietly prototyping tools that could reshape how work gets done. The raw material is there. What's missing is a system that knows what to do with it. Engineers need an embedded ‘innovation pit crew’ to help develop and test their ideas to bring them some form of maturity.

Standalone innovation programs fail when they become disconnected from delivery. Protected labs generate concepts that never touch a client. Internal competitions produce concepts that fail the implementation test. A lot of effort goes into ideation and then everything stalls.

Engineers are expected to provide definite outcomes. But innovation, by definition, begins without one. The solution is unknown at the start of the process and that discomfort, that gap between how engineers are trained to think and what innovation actually requires is where efforts fall short.

The State of Organisations Report 2026 surveyed more than 10,000 executives and found that organisations need to “reimagine how work gets done and redefine traditional structures”.

Large engineering firms carry layers of approval, risk management protocols, procurement conservatism and delivery pressure that create resistance even when leadership agrees that innovation matters. Nobody sets out to block a good idea. But systems designed for predictability aren't built to accommodate experimentation. And when those two forces collide, predictability almost always wins.

The result is a familiar pattern. Ideas surface, get workshopped, maybe attract a small budget, then lose momentum somewhere between prototype and deployment. People consistently underestimate the challenge of each transition. Moving from a minimum viable solution to something that actually scales requires persistence most organisations aren't set up to sustain.

Grounding the process in the ISO 56002 standard for innovation management model opens up the kind of measurement, evidence and financial discipline that speaks to the engineer’s existing level of comfort, while deliberately leaving room for experimentation and failure. Calculated failure, that is, not reckless. The kind of failure where you learn something useful and move forward.

Strip away the governance and innovation becomes unaccountable. Over-govern it and nothing moves. The trick is building a system rigorous enough to earn trust inside a technical organisation, flexible enough to tolerate uncertainty and connected enough to real delivery problems that ideas don't float off into abstraction.

Without a solid ecosystem, even the strongest ideas tend to collapse under organisational weight. The value of people and teams who drive change from inside existing organisations don't succeed alone. Otherwise known as ‘intrapreneurs’, this pool of talent needs nurturing and translators who can bridge the gap between a technical concept and a business case. A recent systematic review found that the key limits to intrapreneurship at the organisational level include resource constraints, bureaucracy, rigid structures and procedural barriers. Intrapreneurs need to be enabled and critically their thinking needs to be at the front end of the client lifecycle.

There's a sharper insight buried in all of this. It’s challenging the assumption that innovation requires freedom, big budgets, open briefs, room to explore. In fact, it’s the opposite. Innovation is most powerful under constraint. When resources are tight, when the problem is urgent, when you genuinely have to do more with less, that's when creative thinking sharpens.

A Harvard Business School working paper studied 11,853 organisations and found that “companies that operated with significant constraints early on were more likely to use unique and unconventional approaches.” The study showed an abundance of resources, paradoxically, bred convention.

It runs counter to the popular narrative. But it rings true for anyone who has watched an engineering team solve an impossible problem on a Thursday afternoon because the deadline was Friday morning.

While AI helps us design and build better, only 15% of engineers believe AI can replace the creativity and problem-solving of human engineers. The broader lesson isn't really about innovation programs or frameworks. It's about what engineers are willing to tolerate. Ambiguity. Iteration. Partial answers that get better over time.

Innovation is shaped by constraint. Finite resources across water, fossil fuels, critical minerals and land, force shared infrastructure, circular systems, renewables and genuinely integrated, system-level design. At the same time, infrastructure project delivery becomes modular and adaptive. There will be less need to 'over-engineer' as a necessary means to lock in certainty upfront.

Innovation is embedded in day-to-day delivery, backed by specialist capability that knows how to make it work. Collaboration extends well beyond organisational boundaries with partners, regulators and standards bodies involved earlier and more actively. The focus moves away from ideas alone to creating the right conditions to make them real.

AI takes on more of the heavy lifting, freeing engineers to focus on judgement, integration and working across disciplines. Innovation matures into a capability in its own right, built with deliberate intention. What won’t change? If you can’t clearly articulate and prove the value to the client and to the business, it won’t stick.

The 2026 Engineering and Construction Industry Outlook emphasises that resilience and willingness to innovate are the defining factors for success. The firms that figure out how to hold that tension between precision and experimentation won’t just build what comes next, they’ll be competing for a share of a $106 trillion global infrastructure pipeline that demands cross-disciplinary, operationaised innovation. That doesn’t require more ideas. It requires better scaffolding with leaders willing to let the answer arrive late.

Nexus Magazine, Edition 2 explores ‘Innovation in Infrastructure’, subscribe to receive it in your inbox each quarter.