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.
A weekly series exploring how artificial intelligence is influencing global power, policy, and diplomacy, from digital warfare to tech-driven alliances shaping international affairs.
Stargate has become the clearest warning flare in the AI boom, as Norway, Australia and a handful of hyperscalers turn the race for compute into a high‑stakes battle over who will own, power and ultimately control the global inference economy.
Australia’s A$25bn AI wager, Bezos’s leap into “physical AI” and Musk’s push to shift data centres into orbit turned this week into a defining moment in the AI global industrial contest, with the Global South emerging as both proving ground and prize in the new AI steel age.
Another week, another frontier model. As Anthropic’s Claude Opus 4.7 chases enterprise depth and OpenAI turns ChatGPT, GPT‑6 and GPT‑Rosalind into the ambient verbs of digital work and lab science, the contest is no longer IQ scores. It is which unseen layer we quietly let sit beneath institutions.
Anthropic’s Mythos clampdown, April’s record Patch Tuesday and Nvidia’s Blackwell‑to‑Rubin GPU roadmap mark a turning point in cyber defence, exposing how deeply allied nations now rely on US‑controlled, agentic AI to detect and counter zero‑day threats.
Anthropic’s rise is no longer about models, but control. As it embeds across enterprise, leaked code reveals deep telemetry, remote overrides and emerging autonomy. Industry leaders warn the same systems reshaping business may amplify cyber risk beyond current defences.
Anthropic’s sabotage report and new tests on OpenAI models reveal AI systems bypassing safeguards, resisting shutdown, and enabling covert data leaks. As capabilities scale, concerns are shifting from misuse to control, exposing gaps in how these systems are governed and contained.
NVIDIA turned AI factories into grid assets, China published its AI dominance doctrine, and the US military confirmed using Claude in Iran strikes. From energy infrastructure to battlefield targeting, the AI race this week moved well beyond Silicon Valley.
Jensen Huang's GTC 2026 reframed the AI race entirely: agentic AI, physical intelligence, orbital data centres and self-driving platforms have replaced benchmark wars. On the All-In podcast he tackled AI's PR crisis head-on. NVIDIA is building the infrastructure backbone of the next global economy.
The Iran Israel confrontation is expanding into cyberspace. A cyberattack linked to pro Iran hackers disrupted medical technology giant Stryker, highlighting how geopolitical conflict can now spill directly into hospitals, businesses and supply chains across the connected global economy.
This week’s tech earnings put Nvidia back under the spotlight, as blockbuster AI-driven results clashed with a skittish market that still sold the stock off—capturing the tension between hard data on acceleration and deep-seated fears of an AI overreach.
Hand coded robotics is fading as Figure AI replaces C++ with neural networks running pixels to torque control. Brett Adcock’s bet on Hark reframes humanoids as infrastructure, where robot fleets learn collectively and the real value shifts to the model layer powering physical autonomy.
The AI race in 2026 has shifted from "who has the smartest model" to "who can afford the power and capital to run them at scale." When Google issues century bonds and Musk eyes orbital data centres, the $700 billion question is whether anyone can sustain this pace.
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