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The Guardian - AU
The Guardian - AU

Beyond the hype: why AI investors are looking below the surface

Young Asian businesswoman managing everyday finance and investment online, checking stock market trades with mobile app on smartphone.

AI is an evolving industry. Product breakthroughs and economic impacts may be grabbing most of the headlines for now, but if we dig a little deeper there’s another story making its way to the surface.

The next wave of AI innovation won’t be focused solely on algorithms and language models. Behind the platforms is a complex and growing infrastructure, and as AI transforms industries from healthcare to clean energy, the investment focus is likely to be on the infrastructure underpinning its development.

While the most recent phase of AI has been all about graphics processing units (GPUs) and cloud platforms, in the next phase the focus is likely to be on power supply, memory, networking and physical data centre capacity. Investors with an eye on this evolution are turning their attention to critical minerals, advanced data centres and next-gen energy systems.

Mineral wealth

Behind every AI breakthrough is a vast, synchronised ecosystem of machines and systems reliant on materials such as copper, lithium and rare earth elements. The application of these minerals is extensive: they are used to make magnets for precision motors, high-density batteries, and conductors of electricity in supercomputers. Once considered niche industrial inputs, these materials are now embedded across many of the machines that power modern computing.

Capital is being invested across the supply chain, in mining and manufacturing, in cleaner processing methods, extraction automation and AI-powered logistics.

AI building AI

The expansion of AI is reshaping how infrastructure is conceived and built. Advanced data centres are becoming high-performance machines, driven by software, analytics and automation. AI is increasingly being used to manage power flows, balance workloads and anticipate and adjust performance in real time.

Machine learning models are discovering alternative materials, while research labs train AI systems to identify transformative development processes and manufacturing methods. The result is a feedback loop: AI is directly improving the systems that enable it.

In the coming decade, we may see AI and physical infrastructure merge into a cycle of progress that offers economic, environmental and production benefits. Smarter use of materials may enable better machines, in turn accelerating discoveries. Intelligence may increasingly shape its own existence.

The focus is shifting to building a more intelligent, sustainable foundation for innovation – from mines to the most advanced data centres – and to the story being told beyond the headlines.

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Issued by Global X Management (AUS) Limited (‘Global X’) (AFSL 466778, ACN 150 433 828). This is general information only and not personal advice. This communication doesn’t consider your personal circumstances or needs. Investors should consider whether Global X products are appropriate for them, obtain financial advice and read the product disclosure statement (PDS) and target market determination (TMD) before making investment decisions. All PDSs and TMDs are available on our website: www.globalxetfs.com.au. Investment in any products issued by Global X is subject to risks, including possible delays in repayment and loss of income and principal invested. Past performance is not a reliable indicator of future performance. This content may not be reproduced, distributed or published by any recipient for any purpose. Global X nor any of its affiliates make any warranty as to the accuracy of any data used or displayed in this communication or to the performance of any product.

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