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The $7 trillion question hanging over Australia’s AI IPO race

Tom Mercer by Tom Mercer
July 19, 2026
in Data & Infrastructure
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Photo: Anna Shvets / Pexels

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Australia is on the cusp of an AI infrastructure listing boom, and the pitch to investors is seductive: get in early on the picks and shovels of the artificial intelligence gold rush, from the data centres to the specialised computing capacity that every model-maker now craves. But according to The Australian Financial Review, the anxieties keeping fund managers awake at night may be aimed at the wrong target. The visible risk is community resistance to sprawling, power-hungry facilities. The far larger and less discussed one is a single American company: Nvidia.

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The AFR frames it as a $7 trillion question, and the number is not chosen at random. It gestures at the almost incomprehensible scale of capital now being marshalled to build out AI computing worldwide, and at the extent to which the fortunes of everyone downstream, including prospective Australian floats such as Firmus and Sharon AI, are tethered to the pricing power of one supplier of graphics processing units. When a single vendor controls the component that makes an AI data centre useful, every business built on top of that component inherits its terms.

The listings taking shape

The immediate story is a pipeline of Australian AI infrastructure businesses weighing a run at public markets. Firmus and Sharon AI sit at the front of that queue in the AFR’s telling, representing a new category of local company whose product is not software or a consumer app but raw compute: the racks, cooling, power connections and GPU clusters that train and run large models. It is a capital-intensive game, and public markets are the natural place to fund it once private backers want liquidity.

For retail and institutional investors, the appeal is straightforward. Demand for AI compute has run well ahead of supply, and the businesses that can secure land, energy and chips stand to charge premium rates for access. That is the classic infrastructure investment case, and it is why the AFR describes a genuine race rather than a trickle.

The risk everyone can see

The first worry the AFR identifies is local and physical. AI data centres consume enormous quantities of electricity and water, and they are increasingly meeting the same community and planning resistance that has greeted other large industrial projects in Australia. A facility that cannot secure a social licence, or that becomes a lightning rod for concerns about grid strain and water use, is a facility that may struggle to be built at all. For an investor buying into a float, that translates into execution risk: the promised capacity may arrive late, cost more, or shrink.

This is a real concern, and it is the one that tends to dominate the public conversation because it is tangible. Residents can see a data centre going up down the road. They cannot as easily see a supply contract with a chipmaker on the other side of the Pacific. Yet it is that invisible dependency, the AFR argues, that carries the heavier weight.

The risk that matters more

Here is the throughline. Every one of these Australian ventures, however well they navigate local politics, is building on hardware that overwhelmingly comes from Nvidia. The company’s chips and its accompanying software ecosystem have become the default for serious AI workloads, and that dominance hands it extraordinary leverage over pricing, allocation and the pace at which any customer can scale.

For a would-be listed Australian compute provider, this creates a structural vulnerability that no amount of community goodwill can offset. If Nvidia lifts prices, margins compress. If it prioritises hyperscale customers in the United States, allocation to smaller Australian buyers tightens. If a new generation of chips renders existing clusters less competitive, the value of installed infrastructure can erode faster than the depreciation schedule assumes. The AFR’s point is that the investment case for these floats cannot be assessed without first assessing the health, strategy and generosity of a supplier the Australian companies do not control.

There is a counter-view worth putting on the table, even if the source frames the chipmaker’s power primarily as a risk. Nvidia’s dominance is also, in a sense, a stabiliser. A standardised platform lowers the technical risk of building a data centre, because the software, the developer tools and the operational know-how are all mature and widely understood. A provider betting on Nvidia is betting on the industry standard, which is a defensible commercial choice even if it is an uncomfortable dependency. The tension between those two readings, dependency as danger versus dependency as safe default, is precisely what makes the $7 trillion question so hard to price.

The Australian stakes

Why does this matter here rather than as an abstract feature of global markets? Because Australia is trying to position itself as a credible destination for AI infrastructure, drawing on relatively stable energy policy ambitions, available land and a push to keep sovereign compute onshore. Floats like Firmus and Sharon AI are, in effect, a test of whether that ambition can be funded by public capital rather than relying solely on offshore hyperscalers.

If Australian investors pour money into these listings without properly weighing the Nvidia dependency, the risk is a wave of floats whose valuations assume favourable chip access that may not hold. If they weigh it too harshly, promising local infrastructure goes unfunded and the market cedes ground to better-capitalised international operators who can absorb the same supplier risk at greater scale. Superannuation funds, which increasingly look to infrastructure for long-duration returns, sit right in the middle of that calculation. So do the regional communities being asked to host the facilities, whose support is contingent on the projects actually delivering the jobs and investment promised.

What comes next

The near-term signal to watch is whether these floats proceed on schedule and how they are priced. A strong debut would suggest the market is comfortable underwriting AI infrastructure despite the concentration of hardware supply. A cautious or delayed reception would suggest investors are heeding the AFR’s warning and demanding a discount for the Nvidia exposure baked into every prospectus.

Beyond that, the longer game is whether any credible alternative to Nvidia gains traction, whether from rival chip designers, from the in-house silicon efforts of the largest cloud providers, or from a broadening of the software ecosystem that currently locks customers in. Any loosening of that grip would change the risk profile of every Australian compute business overnight. Until then, investors weighing the local AI IPO race are being asked to accept that the single most important variable in their bet is set in a boardroom on the other side of the world.

Sources: The Australian Financial Review (Technology), AFR via Google News.

Tags: AI infrastructuredata centresFirmusIPONationalNVIDIASharon AI
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Tom Mercer

Tom Mercer

Tom covers enterprise AI adoption, government and policy for FluentSea.

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