AI infrastructure spending keeps expanding
Conviction: 72%
· Horizon: 2Y
· 2026-06-18
AI sovereignty can accelerate global chip and data center demand
Restrictions on access to leading AI models can push countries and companies to build domestic compute stacks, increasing demand for chips, memory, storage and cloud infrastructure.
| Instrument | Side | Target | Reason |
|---|---|---|---|
| NVDA | Long | Demand for sovereign AI infrastructure supports sustained GPU spending and reinforces pricing power for the leading accelerator supplier. | |
| AVGO | Long | Custom AI silicon and networking demand should benefit as hyperscalers and governments diversify compute infrastructure. | |
| AMD | Long | A broader AI buildout creates room for second-source accelerators and memory-efficient platforms to gain share. | |
| MU | Long | AI workloads are increasingly constrained by memory capacity and bandwidth, supporting demand and pricing for advanced memory. | |
| CRWV | Long | Rented AI compute can capture demand from customers that need capacity quickly without building full data center stacks. |
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