What’s holding back Australia’s industry? A lack of foresight

Australia's biggest industrial risk isn't geopolitical tension, another supply chain disruption, or even climate volatility. It's decision-making without visibility.

As our mining, energy, manufacturing and infrastructure sectors race to decarbonise and digitise, many are still relying on lagging, fragmented information to steer billion-dollar assets.

From flooding in Far North Queensland to cyberattacks on supply chains, disruption isn't a hypothetical. It's constant. And yet, while boardrooms debate AI strategies, many operations still depend on systems that can't even talk to each other. The result? Reaction instead of readiness. Fragmentation instead of foresight.

More data ≠ more insight. Because, the heart of the issue isn't technology access. It's what we do with it. In short, it's not about simply implementing more dashboards or sensors, it's building systems that enable real-time operational intelligence across entire sites and supply chains.

Take CS Energy, which owns the Kogan Creek and Callide B and half of Callide C power stations in Queensland. Using technology which can collect and analyse CS Energy's wealth of data seamlessly, it's able to streamline operations and thus be agile to shifting market and weather conditions – enabling forward planning maintenance and plant operations based on forecast weather as well as forecast market demand. Through a single pane of glass, it can now also have real-time monitoring and alerts of its remote greenfield sites, allowing the business to increase safety as well as optimise critical resource allocation and asset strategy.

This is the crux for the rest of Australian industry: shifting from visibility-as-a-nice-to-have to intelligence-as-the-default.

While AI continues to dominate headlines, the real gains aren't coming from hype-driven use cases. They're coming from practical, operational AI, tools that support human decisions, rather than replace them.

Idemitsu Kosan in Japan, for example, cut planning cycles from days to seconds by using AI to dynamically adjust its refining schedules based on real-time data. That agility translated into 1–3 cents per barrel in margin improvement. For heavy industries with tight margins, those cents are game changers.

Then there's another angle here we don't talk about enough: people.

Australia's industrial workforce is ageing. Recent research revealed that the share of employed Australians aged 55 and over more than doubled from about nine per cent in 1991 to around 19 per cent in 2021, and could reach roughly 40 per cent of all workers by 2050. Yes, the population is ageing and workers are working longer into their lives than ever before – but what this also shows is that new digital natives aren't entering the traditional industry roles like they used to.

Operational intelligence can help here too. When you digitise and modernise frontline roles, you make them more attractive to the next generation of engineers, planners and operators. Instead of clipboards and gut feel, they get remote access, data visibility, and roles where tech enhances their decision-making.

We've seen it play out in mining. When roles shift from manual to tech-enabled, attraction improves. In fact, we're already seeing AI-enabled predictive maintenance deliver significant operational gains, reducing maintenance costs by up to 30 per cent and cutting unplanned downtime by nearly half.

Then there's the sustainability conundrum. Organisations know they need to reduce emissions, but many are doing it backwards, setting targets before building the operational systems that make them achievable.

PETRONAS in Malaysia proved this can be flipped. By eliminating siloed systems and embedding operational intelligence, they saved RM73.1 million in costs and made measurable progress toward net zero.

That's the opportunity for Australia's resource-heavy sectors, sustainability as a by-product of better decisions, not a compliance checkbox.

Finally, a truth many are reluctant to admit, most industrial strategies are built on incomplete visibility.

The organisations that navigated Covid-19, extreme weather, and geopolitical shocks most effectively were those with shared intelligence across suppliers, partners, and internal systems. When the Suez Canal blocked global trade, connected organisations rerouted cargo 48 hours faster than their peers. That's not luck, it's visibility.

So the question isn't whether disruption is coming. It's whether Australian industry will be caught reacting to it, again, or finally build the intelligence to lead through it.