AI foundries
Leading-edge foundries fabricate the most advanced AI chips and package them into increasingly complex systems. The segment is about manufacturing scarcity, process leadership, and advanced packaging capacity rather than model software itself.
This segment sits inside the physical and semiconductor supply chain that supports AI training and inference. The important question is not only whether AI demand grows, but where scarcity shows up: chips, memory, networking, power, sites, or specialized services.
For 13F analysis, the tag is meant to separate the specific bottleneck a company is exposed to from the broad AI label. That helps distinguish a direct accelerator supplier from a power-equipment company, a data center landlord, or a miner with a power portfolio that could be repurposed for HPC.
- Leading-edge wafer fabrication
- Advanced packaging such as CoWoS-like capacity
- EDA/IP and mask ecosystem
- Large fab capex and geopolitical supply chain risk
- Utilization at advanced nodes
- Packaging bottlenecks
- Customer concentration in AI accelerators
- Export controls and regional fab incentives
Situational Awareness LP
Leopold Aschenbrenner · Q4 2025 filed 2026-02-11
Pure-play foundries fabricating leading-edge AI chips (e.g., TSMC).
| Ticker | Name | Value | Instrument |
|---|
| Ticker | Action | Value |
|---|---|---|
| TSM | Closed | -$75M |