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The Anthropic IPO Could Make These 5 AI Stocks Unexpected Winners

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The Anthropic IPO Could Make These 5 AI Stocks Unexpected Winners

Anthropic filed confidentially for a U.S. IPO after a $65 billion Series H that valued it at nearly $1 trillion, reinforcing massive AI infrastructure demand. The article highlights potential beneficiaries including Celestica, Credo, Astera Labs, Coherent, and Marvell, tied to more than $100 billion of AWS spending and another 5 gigawatts of Google capacity. Marvell shares already jumped 33% in one session, adding about $56 billion in market value, underscoring the market's sensitivity to AI capex themes.

Analysis

This is less an Anthropic story than a capex reflexivity story: once a frontier-model platform becomes a public market narrative, hyperscalers are incentivized to pre-emptively overbuild capacity to avoid being seen as supply-constrained. That dynamic should favor the highest-leverage picks-and-shovels names first — rack integration, connectivity, optics, and custom silicon enablement — because they monetize deployment intensity before model usage itself proves out.

The market is likely underestimating the sequencing risk. The initial move is not in the obvious platform owners but in the vendors closest to order visibility, where backlog converts into revenue within 1-3 quarters; the longer-duration winners are the names tied to optical and custom silicon content per rack, where design-win durability matters more than near-term valuation. Marvell looks most levered because every incremental hyperscaler custom-accelerator program expands its socket count and reinforces a multi-year TAM expansion, but that also makes it most vulnerable to a crowded-consensus pull-forward.

A second-order effect is crowding-out: if AWS and Google keep committing scarce AI infrastructure dollars, other buyers may face longer lead times and tighter supply, which can accelerate pricing power for component vendors but delay incremental demand from smaller cloud providers. That matters for the suppliers with the narrowest bottlenecks — especially interconnect and optical — because they can see margin upside even if unit growth normalizes. Meanwhile, the obvious beneficiaries (AMZN, GOOGL) may get little near-term stock reaction because the market already treats AI capex as a given, not an incremental thesis.

The biggest contrarian risk is that the theme is already partially priced: these stocks have re-rated on AI spend before the IPO even hits, so a delayed filing, a smaller float, or any sign that Anthropic monetization is not keeping pace with compute needs could trigger a fast multiple reset. In the next 30-90 days, the trade is more about order-flow and sentiment than fundamentals; over 6-18 months, the real tell will be whether hyperscaler capex budgets step higher again rather than just being reallocated within existing plans.