Every major lab, cloud and sovereign AI programme routes through one vendor. Nvidia is by far the most-connected entity in the sector - a shock to it stalls the entire stack. AMD's up-to-2GW MI450 deal with Anthropic (Jul 2026) is the first credible second GPU source at the frontier-lab tier - a partial, forward-dated mitigant, not yet a removal of the risk.

ASML alone makes the EUV lithography every leading-edge AI chip needs - behind TSMC, behind Nvidia. Two more compound it: the EDA duopoly (Synopsys + Cadence, ~96%) and the HBM triopoly (100%). No capital can quickly route around them.

Nvidia invests in the customers that buy its chips; investors fund the labs that spend it back on the investors' clouds. Now 14 loops - the AMD<->Anthropic deal replicates the vendor-invests-in-customer pattern. Demand is partly self-referential - and contagious on an unwind.

Anthropic is backed at once by Amazon, Google, Microsoft, Nvidia AND now AMD - five direct competitors on one cap table - at a $965B post-money (May 2026 Series H). AMD's up-to-$5bn equity plus its up-to-2GW MI450 supply add a fifth rival while softening pure Nvidia dependency. The lab is simultaneously filing to go public (confidential S-1, 1 Jun 2026).

Eight companies now hold IL6/IL7 classified-network agreements (1 May 2026): SpaceX, OpenAI, Google, Nvidia, Reflection, Microsoft, AWS and Oracle. Anthropic remains excluded (talks stalled over surveillance/weapons guardrails) and Palantir pulled Claude from DoD platforms. The White House gates which models federal agencies may use - and has already banned one. The state now shapes the frontier.

China has built a near-complete, sanction-proof AI stack: DeepSeek's V4 (Apr 2026) trains end-to-end on Huawei Ascend 950PR silicon - the first frontier-class model built without Nvidia - while a $295bn state plan for a unified national compute grid (2028) mandates 80% domestic sourcing, locking out both Nvidia and AMD. Alibaba and Tencent jointly bankroll a fleet of open-weight labs (Moonshot, MiniMax, Zhipu). It advances months - not years - behind the West, answers to none of its evaluators, and export controls are the only remaining lever.

The people who build the frontier run more capable models internally than they ship - months early, wired into their own R&D. Self-built and fair, but compounding and invisible to outsiders.

The US leads on error correction — Google's 105-qubit Willow shows below-threshold correction and IBM's 120-qubit Nighthawk targets fault-tolerance by 2029 — while China leads on scale and commercial deployment: USTC's 105-qubit Zuchongzhi 3.0 advantage claim and Origin Quantum's 180-qubit Wukong-180 cloud. Two parallel superconducting-QC programmes are maturing side by side, not converging.

Origin Quantum's Wukong superconducting cloud has logged 30M+ visits and surpassed one million completed quantum tasks from users in more than 192 countries (Jun 2026) - and US users have consistently been the largest foreign cohort. The classical chip-export wall does not extend to quantum-cloud access, where the dependency currently runs the other way.

For the first time a non-Nvidia vendor (AMD) holds both a frontier-scale compute-supply edge (up to 2GW MI450) AND an equity edge (up to $5bn) into a frontier lab. This is the first competitive redundancy in the sector's tightest chokepoint - but it arrives wrapped in the same vendor-invests-in-customer circularity that concentrates risk elsewhere.

SandboxAQ now sits at the single intersection of the US/allied post-quantum transition: DoW CIO cryptographic migration (AQtive Guard), DIU quantum navigation (AQNav), a $500M CHIPS materials award, NATO DIANA, and White House PQC EO implementation - while its own compute and capital come from Google and Nvidia, who are simultaneously its investors and its cloud/GPU suppliers. The same circular vendor-invests-in-customer pattern seen at the frontier labs now shapes post-quantum defense, and the US government has taken equity in exchange for the CHIPS award (government-as-shareholder).

On raw AI compute the US commands roughly 75% of global GPU-cluster performance to China's ~15%, hosts 5,427 data centers, and is adding power at about 22% a year toward 90GW or more by 2030. China has reached near-parity on model quality, but its hardware stays a generation or two behind, gated by export controls and SMIC's ceiling versus TSMC. The gap is structural, not cyclical.

Every participant depends on a stack it does not control - foreign lithography, one chip vendor, rival-owned clouds. Sovereign and allied compute, and the ability to prove provenance, is the widest opening in the sector.

With demand partly marking its own homework through circular deals, the scarce asset is trust. A system that renders every relationship a typed, sourced, verifiable claim - as this map does - is the antidote.

As open weights commoditise the model layer, durable value concentrates upstream - lithography, fabrication, HBM, the one GPU vendor - and in energy, the binding constraint everyone is racing to secure.

AI is moving onto classified networks (Palantir, Anduril, the Pentagon Seven) with unaudited model supply chains. Verifiable, quantum-safe provenance is precisely the missing layer.