Author questions hyperscaler AI capex and favors AI hardware and infrastructure names while expecting software to languish.
AVGO — LONG The author sees the real winners this year as hardware companies such as AVGO and NVDA, arguing that massive AI data center spending by hyperscalers flows to component and hardware suppliers. The mechanism is that surging demand for GPUs, memory and related components benefits these suppliers, and the author expects this to continue as capex remains elevated.
I see the real winners this year as the hardware companies such as AVGO, NVDA.
NVDA — LONG The author sees the real winners this year as hardware companies such as AVGO and NVDA, arguing that massive AI data center spending by hyperscalers flows to component and hardware suppliers. The mechanism is that surging demand for GPUs, memory and related components benefits these suppliers, and the author expects this to continue as capex remains elevated.
I see the real winners this year as the hardware companies such as AVGO, NVDA.
STRL — LONG The author argues infrastructure stocks such as STRL, AGX and CAT will likely keep benefiting from the AI data center buildout. The mechanism is that construction and infrastructure suppliers capture spending on building AI data centers.
Also infrastructure stocks such as STRL, AGX, and CAT will likely keep benefiting.
AGX — LONG The author argues infrastructure stocks such as STRL, AGX and CAT will likely keep benefiting from the AI data center buildout. The mechanism is that construction and infrastructure suppliers capture spending on building AI data centers.
Also infrastructure stocks such as STRL, AGX, and CAT will likely keep benefiting.
CAT — LONG The author argues infrastructure stocks such as STRL, AGX and CAT will likely keep benefiting from the AI data center buildout. The mechanism is that construction and infrastructure suppliers capture spending on building AI data centers.
Also infrastructure stocks such as STRL, AGX, and CAT will likely keep benefiting.