By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panelists agree that Anthropic's IPO creates visibility into hyperscaler spending, but disagree on whether it locks in demand or exposes risks due to potential execution issues and market slowdowns.
Risk: Potential execution issues and market slowdowns that could lead to faster multiple compression for CLS and MRVL.
Opportunity: The creation of a clear, multi-year hardware demand runway for hyperscalers and their suppliers.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Anthropic filed confidentially for a U.S. initial public offering (IPO) on June 1, 2026, days after closing a $65 billion Series H financing round that valued the company at nearly $1 trillion. The maker of Claude is officially coming to public markets, and Wall Street's initial beneficiary list starts with Amazon and Alphabet, both of which hold substantial equity stakes.
But the more interesting question isn't who holds Anthropic equity. It's who holds Anthropic's infrastructure contracts. Claude isn't a software business, it's a compute business. And the companies building the machines Claude runs on could be the quieter beneficiaries of this IPO moment.
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Why the IPO changes the calculus
When Anthropic goes public near a $1 trillion valuation, it will need to show investors a credible path to supporting that number. That means building more capacity, faster. Anthropic has already committed to spending more than $100 billion with Amazon Web Services over the next decade, securing up to 5 gigawatts of compute capacity. Separate agreements with Google lock in another 5 gigawatts. That is 10 gigawatts of contracted artificial intelligence (AI) compute demand from a single company -- before the IPO even happens.
Here are five companies that are positioned to benefit from the infrastructure build-out that follows.
1. Celestica
Celestica(NYSE: CLS) is the company that integrates GPUs, custom silicon, and networking gear into finished, tested racks that hyperscalers actually deploy. As of April 2026, the company has made its DS6000-series 1.6 terabit Ethernet switches -- hardware designed to handle the cluster density that Anthropic's training runs demand -- available to order. In March 2026, Celestica also announced a strategic collaboration with AMD to bring the open-standards Helios rack-scale AI platform to market. When Anthropic builds out capacity, someone has to assemble and deliver the racks. Celestica does that for some of the largest hyperscalers.
2. Credo Technology Group
Credo Technology(NASDAQ: CRDO) supplies the Active Electrical Cables connecting GPUs inside AI clusters. Anthropic's $100 billion AWS compute commitment will translate into physical servers that need Credo's cables. The company's three confirmed hyperscaler customers all have direct Anthropic relationships. The connection is indirect, but structurally real.
3. Astera Labs
Astera Labs (NASDAQ: ALAB) designs the semiconductor connectivity silicon that lives inside the AI rack -- PCIe retimers, CXL memory controllers, and Ethernet fabric switches. In May 2026, the company launched the Scorpio X-Series 320 Lane AI Fabric Switch, the largest open memory-semantic fabric switch available, now shipping to leading cloud customers. Astera's technology manages signal integrity between chips inside a cluster, making it a critical layer in the infrastructure Anthropic needs at scale.
4. Coherent
Coherent(NYSE: COHR) provides the optical transceivers that connect servers across a data center. Nvidia invested $2 billion in Coherent in March 2026 and signed a multibillion-dollar purchase commitment for optical networking and laser products. As Anthropic's clusters grow, optical demand grows with them. Coherent's data center and communications segment posted $1.36 billion in revenue for the third quarter of fiscal 2026.
5. Marvell Technology
Anthropic's compute expansion depends heavily on Amazon's Trainium custom AI accelerators. Marvell Technology(NASDAQ: MRVL) is one of the primary architects of custom silicon for hyperscalers, with 18 confirmed XPU sockets in its pipeline. When Amazon scales Trainium to honor its Anthropic commitments, Marvell's design wins convert to revenue.
At Computex on June 2, Nvidia CEO Jensen Huang said that Marvell Technology is a potential trillion-dollar company. Investors responded enthusiastically, sending Marvell shares soaring 33% in a single trading session, the largest one-day gain in the company's history. The rally added approximately $56 billion to Marvell's market capitalization, lifting its total value above $250 billion.
The risk across this theme is real. Anthropic's IPO could be delayed or scaled back, slowing the pace of infrastructure commitments. And with capital spending on AI at record highs, there's a genuine question about how much of this build-out is already priced into each of these stocks. None of these are hidden gems in the traditional sense, but they are structurally tied to a demand driver that just became very public.
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Micah Zimmerman has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Celestica, Coherent, Marvell Technology, and Nvidia. The Motley Fool recommends Astera Labs. The Motley Fool has a disclosure policy.
Four leading AI models discuss this article
"The market is currently pricing in a best-case scenario for custom silicon adoption that leaves zero margin for error regarding hyperscaler CapEx cycles."
The article correctly identifies the 'picks and shovels' play, but it ignores the looming risk of capital expenditure (CapEx) exhaustion. While Anthropic’s $100B commitment to AWS is massive, it’s a multi-year spend that hyperscalers may throttle if AI model inference revenue doesn't materialize. Marvell (MRVL) at a $250B valuation following a 33% single-day spike is pricing in perfection; any delay in custom silicon deployment or a cooling in hyperscaler demand will lead to a violent mean reversion. Investors are conflating 'infrastructure necessity' with 'guaranteed margin expansion.' I’m skeptical that the supply chain can sustain these multiples once the initial build-out phase transitions from frantic installation to operational efficiency.
If Anthropic’s IPO triggers a competitive arms race among other LLM developers to match their 10-gigawatt capacity, the demand for these infrastructure components will remain inelastic regardless of short-term profitability.
"The Anthropic IPO accelerates existing capex commitments but doesn't create new demand, and these infrastructure stocks may already be pricing in the AI build-out cycle."
The article conflates two distinct dynamics: Anthropic's IPO as a *valuation event* versus Anthropic's IPO as a *demand driver*. The $100B AWS and $100B Google commitments predate the IPO filing (June 1, 2026) — they're already locked in. The IPO doesn't create these contracts; it forces Anthropic to *execute* them faster to justify a $1T valuation. That's real, but it's a 2-3 year acceleration, not a new market. More critically: the article assumes these infrastructure plays (CLS, CRDO, ALAB, COHR, MRVL) are underpriced relative to this demand. Yet Marvell already rallied 33% on Huang's trillion-dollar comment. At what multiples are these trading? The article doesn't say. If CLS, CRDO, and ALAB are already pricing in AI capex cycles, the IPO is old news priced in.
Anthropic's IPO could trigger a *re-rating downward* if the company guides to lower-than-expected capex intensity post-IPO, revealing that the $100B commitments are more flexible than the article implies, or if AWS/Google negotiate harder on pricing once Anthropic is public and under earnings pressure.
"Anthropic's IPO adds minimal new demand visibility because the $100B+ AWS and Google commitments predate the filing and are already priced into supplier forecasts."
The article frames Anthropic's $1T valuation IPO as a catalyst for CLS, CRDO, ALAB, COHR, and MRVL via 10GW of already-contracted compute, but this spending was disclosed pre-IPO and largely flows through existing AWS/Google relationships. Celestica's rack integration and Marvell's Trainium design wins are real, yet both are already embedded in hyperscaler forecasts; the IPO itself adds little incremental visibility. Optical and connectivity demand (COHR, ALAB) could see volume upside only if training clusters scale faster than current roadmaps, a bet already reflected in 2026 multiples. The real risk is that public-market scrutiny forces Anthropic to slow capex if margins disappoint.
Even contracted spend can accelerate once public-market pressure demands visible capacity growth, potentially lifting order books for rack and connectivity suppliers beyond current guidance.
"The material AI compute build-out, if realized, creates a multi-year capex tail for infrastructure suppliers even if Anthropic's IPO is overhyped."
Anthropic's IPO narrative reframes AI as a compute-forward cycle, not a software rollout. If the company follows through on commitments with AWS (up to 5 GW) and Google (another 5 GW) over the next decade, a clear, multi-year hardware demand runway emerges for hyperscalers and the suppliers that assemble, connect, and accelerate those racks: Celestica, Credo, Astera Labs, Coherent, and Marvell. The upside hinges on durable cloud capex, the durability of Nvidia/Trainium ecosystems, and steady pricing for high-volume components. But the piece glosses over execution risk, potential slowing demand, and a valuation that may already reflect more than a cyclical spike.
Against this bullish read, the risk is that Anthropic's projected compute demand is not secured yet, and headline 10 GW commitments may prove ill-timed or captive to price wars and service guarantees. If hyperscalers delay, cancel, or optimize with more efficiency, the infrastructure suppliers' orders may disappoint despite the IPO hype.
"Public reporting requirements for Anthropic will force hyperscalers to harden soft CapEx commitments into ironclad supply chain orders."
Claude, you’re right that the IPO is a valuation event, but you're ignoring the 'public-market signaling' effect. Once Anthropic goes public, their CapEx becomes a quarterly-reported KPI, not just a private contract. This forces hyperscalers to prioritize Anthropic’s compute availability to prevent the company from missing guidance, effectively turning 'flexible' commitments into 'hard' supply chain obligations. This creates a floor for CLS and MRVL that wasn't there when these contracts were purely private and renegotiable.
"Public reporting accelerates price discovery of demand weakness; it doesn't create demand that wasn't there."
Gemini's 'public-market signaling' angle is clever but overstates enforcement. Quarterly CapEx reporting creates *visibility*, not obligation—Anthropic can still miss guidance without breaching AWS/Google contracts if demand softens. The real floor for CLS/MRVL isn't quarterly KPIs; it's whether hyperscalers actually need 10GW. If inference economics disappoint, public reporting just makes the slowdown *visible* sooner, potentially triggering faster multiple compression than a private miss would.
"IPO scrutiny may prompt conservative capex guidance, softening rather than hardening supplier commitments."
Gemini's signaling argument assumes public KPIs lock in hyperscaler spending, yet IPO pressure often prompts conservative guidance to avoid misses. Anthropic could frame the 10GW targets as flexible benchmarks, giving AWS and Google room to delay orders without penalty. This risks faster multiple compression for CLS and MRVL once quarterly disclosures reveal softer execution than private contracts implied.
"Public KPI signaling does not bind hyperscalers to 10GW; it can be delayed or scaled back, risking a supply glut and multiple compression for CLS/MRVL despite IPO hype."
Gemini, signaling is not a guarantee of order urgency. Quarterly CapEx reporting creates visibility, not a contractual hard floor. Hyperscalers can window-seat 10GW targets as aspirational or backstop them with rate-limited contracts to preserve flexibility. The risk isn’t missed guidance; it’s misallocation if 10GW proves overly optimistic and margins compress as competition for silicon and power costs steers budgets. In that scenario, CLS/MRVL downside could come even without public-market misses.
The panelists agree that Anthropic's IPO creates visibility into hyperscaler spending, but disagree on whether it locks in demand or exposes risks due to potential execution issues and market slowdowns.
The creation of a clear, multi-year hardware demand runway for hyperscalers and their suppliers.
Potential execution issues and market slowdowns that could lead to faster multiple compression for CLS and MRVL.