AI infrastructure demand breadth

Conviction: 69% · Horizon: 12M · 2026-04-29
Broad hyperscaler spending can validate durable AI infrastructure demand

AI infrastructure remains attractive if demand extends beyond a few model developers into search, cloud, coding, ads, and enterprise workflows. The strongest confirmation comes from rising capex backed by backlog, capacity reservations, product usage growth, and stable margins.

Instrument Side Target Reason
NVDA Long We believe sustained hyperscaler capex, expanding inference workloads, and persistent compute constraints support continued demand for accelerated computing platforms. When AI usage spreads across cloud, search, ads, and enterprise software, the revenue base funding infrastructure becomes broader and more durable.

Themes

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