Supply chain pressures threaten Australia's AI data centres

Blue Yonder has warned that supply chain pressures could become a major constraint on AI infrastructure projects as investment in Australian data centres rises.

The software group said the rush to expand capacity for artificial intelligence, cloud computing and digital services is exposing a less visible problem than access to chips or electricity. It said the delivery and operation of new data centres depend on complex global supplier networks that are already under strain.

Each facility requires large volumes of equipment from multiple countries and suppliers, including transformers, switchgear, cooling systems, networking hardware and servers. Those items must arrive in sequence and on schedule; delays in one part of the chain can disrupt broader construction timetables.

According to Blue Yonder, the challenge for operators is not only securing enough hardware but also understanding risks across different supply tiers. Disruption can remain hidden until shortages, transport issues or supplier constraints begin to affect project delivery.

"The AI economy is creating one of the fastest infrastructure build-outs we've ever seen," said Daniel Kohut, VP Strategy Advisory, Blue Yonder.

"The challenge is no longer simply securing enough hardware. Organisations also need visibility into increasingly complex supplier networks, longer lead times and rapidly changing demand. Without that visibility, even well-funded infrastructure projects can face costly delays," Kohut said.

Network strain

The warning reflects a broader shift in how data centre construction is managed. Unlike traditional supply chains, which can largely be overseen within a single organisation, the current data centre market depends on coordination among manufacturers, component suppliers, distributors, logistics providers and infrastructure operators.

That structure makes planning harder when demand rises quickly. Shortages of materials, shipping congestion or limits on factory output can ripple through several companies before the impact reaches the project owner.

Businesses will increasingly need a broader view of their supplier networks and better planning tools to identify emerging bottlenecks before they disrupt build schedules or affect operations, Blue Yonder said. It added that artificial intelligence is likely to be used to improve forecasting, detect supply risk and help coordinate responses across supplier ecosystems.

Kohut said many companies still rely on fragmented tools and manual processes to manage critical supply chain work. In his view, those methods are poorly suited to the speed and complexity of current infrastructure expansion.

"Many organisations still manage critical supply chain activities through disconnected systems and manual processes that were never designed for today's pace or complexity," Kohut said.

"The organisations that succeed will be those that can connect planning with execution, collaborate across their supplier ecosystem and respond to disruption before it becomes a business problem," he said.

Sustainability angle

The company also linked supply chain management to the environmental footprint of AI infrastructure. Data centres require significant amounts of energy, water and physical materials, while their construction involves manufacturing and transporting heavy equipment over long distances.

Better planning can reduce waste by improving inventory accuracy, cutting unnecessary production, limiting reliance on expedited freight and refining transport flows, it said. In that sense, the same technology driving demand for more digital infrastructure could also help reduce some of the inefficiencies tied to its expansion.

Blue Yonder also cited the views of Saskia van Gendt, Chief Sustainability Officer, who has argued that AI presents both an environmental challenge and an opportunity. The company said AI-enabled supply chains can help reduce waste, lower emissions and improve resource use across manufacturing, warehousing and transport, even as the growth of AI infrastructure adds to energy demand.

Australian focus

The warning comes as Australia continues to invest in AI capability, cloud infrastructure and sovereign digital services. That push is expected to increase pressure on the industries responsible for delivering the physical assets behind the country's digital economy.

For data centre developers and operators, the message is that future constraints may emerge as much from logistics and supplier coordination as from computing or power availability. Visibility, collaboration and orchestration across global supply networks will be essential if Australia is to keep pace with the next wave of digital infrastructure investment, Blue Yonder said.