Good Tuesday —
Anthropic outsources its compute destiny to Broadcom, locking in 3.5GW of Google's TPUs
Claude runs simultaneously across AWS Trainium, Google TPU, and Nvidia GPUs. Anthropic has live gigawatt-scale commitments across all three. Amazon remains the primary training partner. Anthropic also committed $30B to Azure with 1GW of Nvidia Grace Blackwell and Vera Rubin coming online. The 3.5GW TPU deal doesn't deepen Anthropic's dependency. It deepens Google's dependency on Anthropic as its largest external proof-of-concept customer. The moat narrative has the direction inverted.
The new 3.5GW is in addition to 1GW already coming online in 2026 under the Google Cloud agreement, and the filing states that Anthropic's use of the expanded capacity is contingent on its continued commercial performance. That contingency clause is the most underreported detail in the coverage. Mizuho projected $21B in Broadcom revenue from Anthropic in 2026 and $42B in 2027. Both figures are backstopped by Anthropic's revenue trajectory, which has surpassed $30B annualized, more than tripling from roughly $9B at end of 2025.
The numbers currently support the thesis. But the structure means Broadcom and Google carry more concentration risk here than Anthropic does.
Broadcom also locked in a supply assurance agreement with Google for networking and components through 2031 which is the less-discussed part of the filing and probably the stickier commercial relationship. The TPU-Anthropic piece is headline-grabbing. The Google-Broadcom networking lock-in is quieter and arguably more durable.
Know someone allocating to AI infra? They probably saw the Broadcom headline without the analysis. Forward this email.
On Our Radar
Microsoft reinforces its AI cloud dominance because it is making a massive, specific $10 billion investment in a key region.
Intel's deep integration with xAI and Tesla could accelerate advanced silicon processes to meet unprecedented AI compute demand.
Nvidia reinforces its ecosystem because it indirectly funds Firmus, accelerating GPU deployment capacity.
ASML faces revenue downside because US lawmakers' push for tougher export controls restricts sales to China.
Regime Snapshot
Compute (CRS): 65 — scarcity. More buyers than available capacity. Lead times extending.
Memory (MRS): 73 — Tight. Demand outstripping supply. No relief until new capacity comes online.
Narratives Moving Today
HBM3e pricing: can the premium hold? — conviction 61, ▼13 pts this week.
Samsung's record Q1 profit and TSMC energy constraints weaken HBM3e premium sustainability narrative.
Is frontier model pricing power collapsing? — conviction 63, ▼14 pts this week.
AWS Quick launch and Anthropic's 3.5 GW TPU deal show pricing pressure from competing inference platforms.
Who builds the payment rails for AI agents? — conviction 54, ▼15 pts this week.
AWS Quick directly competes as payment rail for AI agents, fragmenting the infrastructure layer narrative.
This is exactly the kind of structural shift the terminal tracks in real time — which companies are exposed, how the constraint map is shifting, and what the regime history says about timing.
We’re opening the private beta to a small group of investors and analysts. If you want the full picture, not just the daily snapshot:
— Teng