Physical AI Supply Chain — Who Makes the Sensors, Chips and Actuators
Layer-by-layer map of the AV and humanoid robot supply chain: LIDAR, radar, cameras, AI compute, actuators, and geopolitical risks.
Layer-by-layer map of the AV and humanoid robot supply chain: LIDAR, radar, cameras, AI compute, actuators, and geopolitical risks.
Hardware, not software, is the hidden constraint on Physical AI: lidar lead times, NVIDIA Orin allocations, harmonic drives, and Waymo Zeekr dependency mapped.
Read this because The constraint on AI compute is migrating from logic to memory stacking. Whoever solves 16-high bonding first controls a chokepoint that every frontier GPU now depends on.
NVIDIA asked SK hynix, Samsung and Micron for 16-high HBM4 by Q4 2026 — a stacking jump that makes advanced packaging the AI supply-chain bottleneck.
Read this because Not the capex headline: NVIDIA is selling compute into the supply chain that builds NVIDIA's own chips. cuLitho's 20-50% litho cost/cycle-time cut is the load-bearing number — it gates how fast and cheaply sub-2nm wafers reach volume. A vertical loop.
At GTC Taipei, TSMC adopted NVIDIA's CUDA-X stack across lithography, simulation and inspection, with cuLitho cutting litho cost up to 50%.
Read this because The number to watch isn't the trillion — it's the word "structural." UBS's 204% target hike rests on the thesis that AI memory has de-cyclicalized: HBM4 sold out, DRAM up 58-63%, pricing locked through 2029. If memory has escaped its cycle, the entire semi playbook changes.
Micron crossed a $1T market cap on May 26 — the 5th chipmaker — after UBS tripled its target to $1,625 and 2026 HBM4 capacity sold out under long-term deals.
Read this because Everyone watches the GPU. But AI clusters still need a host CPU to feed them, and AMD just put a 256-core server part on the most advanced node before anyone else. The lever here is efficiency at the power wall — and a quiet Arizona on-shoring story riding alongside it.
AMD is ramping EPYC "Venice" on TSMC 2nm (May 21) — a 256-core/512-thread part, the industry's first HPC product on the node, 70%+ uplift over Turin.
Read this because The number that resets the AI-capex debate: Q2 guide of $91B EXCLUDING China, above a $86B consensus. The bear case needed a demand crack; instead the run-rate accelerated. Hyperscaler 2026 capex tracking ~$725B (+77%) is the demand floor under it.
NVIDIA Q1 FY27 record revenue $81.6B (+85%), data center $75.2B (+92%), EPS $1.87 beat. Q2 guide $91B ex-China, above $86B consensus — 4th straight beat.
Read this because The number that matters is 560,000 units already shipped — this is not a paper launch. China's domestic accelerator stack is at volume, and the M890's agent-workload tuning shows the decoupling is now targeting the same workloads NVIDIA sells into.
Alibaba T-Head unveiled the Zhenwu M890: 144GB memory, 800GB/s interchip, 3x the 810E. 560K Zhenwu units shipped to 400+ customers. V900 in 2027.
Read this because Track the front-end-vs-back-end capex ratio, not the headline dollar figure. A 53% shift to leading-edge nodes is what decides whether next-gen Blackwell/MI400 ships on schedule — and therefore your 2027 inference cost curve.
5/12 board: $31.3B capex + $20B Arizona injection. Advanced front-end now 53% of capex (37% in 2024-25) — direct read on AI accelerator demand.