AWS has increased prices for reserved AI GPU capacity by around 20%, highlighting the growing shortage of high bandwidth memory and advanced chips. As demand outpaces supply, AI development costs are rising, making large scale model training and deployment more expensive.
Anthropic’s reported 1.4 GW Australian AI tender signals a major investment opportunity, but also a harder sovereignty question: will Australia and the Global South build capability inside this frontier infrastructure, or remain dependent on foreign chips, models, permissions and inference margins?
At midyear, the AI race has become a contest for global power. Energy, chips, cybersecurity, capital markets and state intervention now shape who controls the inference economy, who pays for it, and who is left exposed in the next industrial order of machines, markets and sovereignty to come ahead.
Australia is entering the age of agentic intelligence as startups like Firmus Technologies and Sharon AI build sovereign compute, renewable powered data infrastructure and AI platforms. Infrastructure is accelerating while enterprise adoption remains slow, creating a widening national gap.
As the global AI race hits its final stretch in late 2025, Australia's tech scene is finding its own pace – not by chasing Silicon Valley, but by building what comes after it. A wave of startups is rising to meet the next frontier: agentic intelligence. Their mission isn't to replicate the world's biggest models but to orchestrate the systems that will drive them – autonomous, connected, and sovereign by design.
The mood within Australian AI circles has changed. Where 2023 and 2024 were about building copilots and model wrappers, 2025 has become the year of orchestration. The real prize is no longer a chatbot, but an entire network of goal-seeking agents – intelligent systems that negotiate, optimise and create with minimal human oversight. For a country that prides itself on pragmatism, this shift resonates. The ambition is straightforward: own the infrastructure, secure the sovereignty, and scale the intelligence.
That's where companies like Firmus Technologies and Sharon AI have taken the lead. Firmus has become the name most often whispered when investors talk about sovereign compute. Now valued above A$1.85 billion, its Project Southgate aims to knit together a chain of renewable-powered data centres across the nation, anchored by NVIDIA's incoming GB300 GPUs.
The first phase, in Tasmania, is already running 18,500 units and ties into 5.1GW of renewable generation scheduled through 2028. It's a playbook rooted in sovereignty and scale. By coupling green energy with national compute, Firmus has positioned itself as the architecture beneath the new AI economy.
As CEO Oliver Curtis puts it, Southgate isn't another hyperscaler – it's the "infrastructure blueprint for scalable, sovereign intelligence," designed to keep the country and its partners on the frontline of the global data economy.
If Firmus builds the foundation, Sharon AI is the platform that rides atop it. The company is preparing a pre-IPO raise ahead of a planned 2026 listing, backed by a new 50MW partnership with NEXTDC – enough to host around 20,000 next-generation GPUs across Tier IV facilities.
Its pitch is as pragmatic as it is ambitious: an "agentic cloud" built for flexible GPU leasing, rapid orchestration and burst capacity for enterprises, governments and researchers. Underpinning it all are NVIDIA DGX-Ready credentials, ensuring new hardware lands ready-to-train without delays or retrofits. CEO Wolf Schubert sums it up succinctly:
"Autonomous systems need autonomous infrastructure. We're building exactly that."
Both Firmus and Sharon AI are currently in advanced talks with international investment firms to lead what could become the largest AI mega-scale IPO the ASX has ever seen. Financial media has been keeping a close eye on the developments, with analysts speculating that the combined market debut in 2026 could redefine the scale of Australian tech listings. Yet the infrastructure boom tells only half the story. While compute capacity heats up, the reality on the ground remains decidedly cooler.
The Reserve Bank of Australia's latest survey results, released today, paint a more measured picture of where enterprise adoption actually stands. Beyond the AI chatbot or the now-ubiquitous ChatGPT wrapper, genuine integration of intelligent systems into Australian business operations remains lacklustre. The RBA's April 2025 Financial Stability Review flags a widening gap between infrastructure readiness and real-world deployment, with most firms still treating AI as experimental rather than operational. The federal government's messaging around a "one voice approach" to AI adoption in society has yet to translate into the coordinated, economy-wide transformation that infrastructure builders are anticipating. In practice, it's slow as you go.
The RBA's core concerns centre on three interlocking risks that could complicate the path ahead. First, the concentration of AI capabilities within a handful of large technology firms creates systemic dependencies that could amplify shocks across the financial system. Second, operational resilience remains fragile as organisations rush to adopt AI tools without fully understanding their failure modes or embedding proper governance frameworks. Third, cyber vulnerabilities multiply as AI systems become embedded in critical financial infrastructure, creating new attack surfaces that regulators are still learning to monitor. Together, these concerns underscore a fundamental tension: the infrastructure is being built at breakneck speed, but the institutional capacity to deploy it safely and effectively is lagging well behind.
Yet private capital continues to heat up. Sharon's convertible note raise has drawn institutional attention from funds positioning for the next compute cycle, while its partnership web – stretching from NEXTDC and NVIDIA to advisers like Roth CH – signals confidence that demand will eventually catch up to supply. The new wave of Australian AI firms is merging industrial hardware, smart energy, and software agency into one machine. The result: a national compute layer capable of both accelerating industry and exporting intelligence abroad. From climate modelling to financial automation, from health research to defence applications, the stakes are now measured in teraflops and trust. Australia's next leap won't come from building larger models, but from enabling intelligent systems that act, adapt and learn across sovereign infrastructure. In other words, from agentic scale.
The AI race may be ending, but the age of agency has just begun – and this time, Australia is not catching up. It's showing up. The question now is whether federal capital partnerships can bridge the gap between infrastructure ambition and enterprise reality, bringing forward an entire AI ecosystem rather than isolated pockets of capability. The foundations are being laid. Whether the building follows remains the A$1.85 billion question.
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AWS has increased prices for reserved AI GPU capacity by around 20%, highlighting the growing shortage of high bandwidth memory and advanced chips. As demand outpaces supply, AI development costs are rising, making large scale model training and deployment more expensive.
The memory war exposes AI’s harder truth: power now sits in fabs, wafers, export licences and trusted supply. Apple, Micron, Nvidia, China, South Korea and Japan are no longer fighting over chips alone, but over dependence, pricing and the pace of intelligence itself across global markets, in 2026.
At the G7 summit in France, Anthropic and Google DeepMind CEOs proposed a U.S.-led international AI coalition to govern frontier models and coordinate critical component trade — explicitly excluding China.
Neura Robotics raises $1.4B backed by NVIDIA and Amazon to scale physical AI and humanoids to millions of units by 2030, as autonomous robot teams make their tactical debut at Eurosatory 2026.
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