Small checks can open big doors.
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Everyone keeps framing AI as a single stock story. But the actual spend moves through a long supply chain.
Big Tech capex flows in stages. It does not go straight to GPUs.
ASML
Lam Research
Applied Materials
TSMC
Intel
GlobalFoundries
Broadcom
Marvell
Credo Technology
Amphenol
Coherent
Lumentum
Super Micro Computer
Hewlett-Packard Enterprise
Dell
Many of these stocks trade as if AI spending slows soon. Capex plans across Big Tech point the other way.
The middle of the chain looks underwatched.
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A young AI lab is losing half its founding bench while a new one forms next door.
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Alphabet plans capital spending in 2026 that exceeds market forecasts. The biggest cost driver is data center buildout for AI workloads across Google.
This is part of a wider push. Mark Zuckerberg has said Meta will allocate $125B to capex this year.
AI is pulling hyperscalers into a new spending cycle.
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Venture Capital
Made the list in 2018 and now arrested for fraud.
If someone makes the list you should trust them...to commit a crime
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In the latest all-hands shared by xAI, X and SpaceX, Elon Musk outlined an aggressive plan.
Within 12β18 months, the goal is to reach βsingularityβ in code and model self-improvement. Over 12β36 months, the focus shifts to building digital humans and launching agent-driven digital businesses. X is expected to grow from 1B users to 4B, with its own chat system and payments layer.
In parallel, SpaceX plans more rockets, space-based data centers, a lunar city, later a Mars city, and even a lunar electromagnetic mass driver.
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Not because itβs βcheap.β
Because the business is compounding.
Meta isnβt just a social media company anymore:
This is one of the clearest AI monetisation stories in big tech.
Ackman isnβt buying hype.
Heβs buying the cash flow engine behind it.
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Safety debates are no longer internal. They are playing out in public as AI systems scale.
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