Amazon is Anthropic's largest strategic backer and its primary cloud and training partner through AWS. The company has invested billions in Anthropic equity and hosts Claude training runs on Amazon's own Trainium accelerators alongside Nvidia clusters. AWS also resells Claude to enterprise customers, so Amazon earns on both the infrastructure bill and the model distribution layer. For investors who want large-cap exposure to Anthropic's rise without owning the private company directly, AMZN is the most direct public proxy available today.
Anthropic's financials & how to track them
Anthropic is private, so there's no public share price. But its revenue run-rate, valuation, and a set of public proxy stocks give investors plenty to track. Live charts below.
Figures as of July 2026. Anthropic does not publicly report GAAP profitability. Run-rate is an annualized figure from company statements.
How fast is Anthropic's revenue growing?
Annualized run-rate, the headline metric Anthropic discloses. It has risen roughly 5× in under a year.
| Period | Run-rate | Step change |
|---|---|---|
| End 2025 (est.) | $9B | — |
| Feb 2026 | $14B | +$5B |
| Early Mar 2026 | $19B | +$5B |
| Early Apr 2026 | $30B | +$11B |
| May 2026 | $47B | +$17B |
Breaking down the business
Where the revenue comes from. Anthropic sells Claude to enterprises and developers; its book skews heavily to large business accounts.
Revenue skews heavily to enterprise. Roughly 80% comes from business customers, concentrated in a growing base of large accounts spending seven figures a year. Source: Sacra.
Compute & cost base
The largest cost driver is compute. Anthropic's capacity commitments span every major cloud, which the S-1 will translate into a cost structure.
- Amazon Web Services (primary cloud and training partner), up to 5 GW new capacity
- Google Cloud and Broadcom, 5 GW next-gen TPU capacity
- SpaceX GPU capacity via Colossus 1 and 2
- Available on AWS, Google Cloud, and Microsoft Azure
The closest things to "Anthropic stock" you can trade today
You can't buy Anthropic on a public exchange. The nearest tradeable exposure is through its two largest strategic investors, both of which hold meaningful equity stakes and are deep infrastructure partners.
Amazon (AMZN)
Largest strategic backer and Anthropic's primary cloud/training partner via AWS. The closest large-cap public proxy for Anthropic upside.
Open live chart on TradingView → Buy AMZN →Alphabet (Google) (GOOGL)
Major investor (up to $40B committed) and TPU/Google Cloud partner. Holds a significant equity stake.
Open live chart on TradingView → Buy GOOGL →Charts by TradingView. Open a free account to set price alerts and track these proxies.
Other AI stocks you can buy today
Anthropic does not trade yet, so many investors get exposure to the same trend through related public companies: its own backers, the chipmakers powering every model, OpenAI-linked names, and recent AI-era IPOs like SpaceX. Full breakdown and broker links are on the how to buy page.
For the competitive side of the AI race, more on OpenAI's IPO and how to invest is available at OpenAI Stock.
For a wider screen of public AI plays beyond this list, see the full rankings at Buy AI Stock.
Direct Anthropic backers & partners
Public companies that invested in Anthropic or supply its compute. The closest listed exposure to Anthropic itself.
Alphabet has committed up to $40B to Anthropic and supplies both Google Cloud capacity and custom TPU accelerators for training. Google holds a sizable equity stake and benefits when Anthropic scales, while also competing through its own Gemini models. That makes GOOGL a dual play: cloud landlord, chip architect, and rival all at once. Claude runs on Google's infrastructure even as Google ships its own frontier systems, which is why many Anthropic watchers keep Alphabet on the same screen.
Buy GOOGL →Co-developing roughly 5 GW of next-generation TPU capacity with Google to serve Anthropic's compute demand.
Buy AVGO →AI chip designers
The GPUs and custom accelerators that train and serve every frontier model. The core of the AI hardware stack.
Nvidia designs the GPUs that train and serve nearly every frontier model on the market, Anthropic's included. Its H100 and Blackwell generations set the performance benchmark that labs compete to buy, and supply has been the binding constraint on how fast new models can ship. Data Center revenue now dominates Nvidia's earnings and tracks hyperscaler capex almost line for line. If you want one liquid public stock that captures the AI infrastructure build-out without picking individual labs, Nvidia is the one most investors reach for first.
The main alternative AI accelerator supplier as labs diversify away from a single chip vendor.
Buy AMD →Custom AI silicon and data-center networking chips used in cloud and accelerator platforms.
Buy MRVL →Pushing Gaudi accelerators and foundry services as it tries to reclaim a seat at the AI chip table.
Buy INTC →Memory & HBM
High-bandwidth memory is the bottleneck alongside GPUs. These suppliers ride every new training cluster.
Micron is one of the world's largest memory makers and a growing supplier of high-bandwidth memory (HBM), the specialized DRAM stacked alongside AI GPUs. It was also a strategic infrastructure investor in Anthropic's Series H. Training clusters are increasingly limited by memory bandwidth, not just raw FLOPs, so every new Nvidia generation pulls more HBM per server. Micron has been ramping HBM capacity to meet hyperscaler orders tied to AI build-outs.
SK Hynix is the leading producer of high-bandwidth memory and a primary memory partner for Nvidia's AI GPU platforms. HBM attaches directly to accelerator packages; without it, the fastest chips cannot feed data fast enough for large-model training. SK Hynix trades on the Korea Exchange (ticker 000660); many international brokers offer access. Its fortunes track AI capex cycles closely: when labs like Anthropic order more GPUs, HBM suppliers often see demand months ahead of final server shipments.
Buy 000660 →Memory, advanced packaging, and foundry capacity for AI chips. A diversified play on the hardware layer.
Buy 005930 →Foundries & chip equipment
The fabs and lithography tools that make advanced AI silicon possible. Capacity here constrains the whole industry.
TSMC fabricates the advanced processors behind the AI boom, including Nvidia GPUs, AMD accelerators, and Google's custom TPUs used in Anthropic training. It operates at the leading edge of semiconductor manufacturing and is the foundry of choice when designers need the densest transistors available. AI demand has kept TSMC's most advanced nodes heavily booked, with long wait times for allocation. Owning TSMC is a bet on AI chip volume regardless of which accelerator architecture wins.
ASML holds a near-monopoly on extreme ultraviolet (EUV) lithography, the equipment required to pattern the most advanced silicon nodes. Every next-generation AI GPU and custom TPU ultimately depends on EUV tools to be manufactured at scale. Lead times and pricing power at ASML flow through to the entire chip supply chain. The stock is an indirect but highly leveraged play on leading-edge semiconductor capacity, which AI has stretched to its limits.
Buy ASML →Largest wafer-fabrication equipment maker; fabs expanding for AI chip demand need its tools.
Buy AMAT →Etch and deposition equipment for advanced nodes. Capacity additions at TSMC and peers flow through here.
Buy LRCX →Cloud & AI data centers
Where models actually run: hyperscale cloud, GPU clouds, and the server builders wiring up the racks.
Oracle is a Stargate operations partner hosting massive AI training clusters, with reported multi-year cloud commitments tied to frontier-model build-outs across the industry. Its cloud business has re-accelerated as AI-native workloads land in dedicated capacity rather than generic virtual machines. Oracle rents power, cooling, and racks to the labs racing to train the next generation of models. For Anthropic watchers, it is a read on how much infrastructure spending is still flowing through third-party cloud landlords beyond AWS and Google Cloud.
CoreWeave is a GPU-focused cloud built for AI training and inference, with direct deals to Anthropic, Broadcom, and other frontier players. It rents Nvidia clusters by the hour instead of selling chips, so revenue scales with how much compute the industry burns. The company went public amid intense demand for GPU capacity that hyperscalers alone could not satisfy. Among US-listed names, CoreWeave is one of the purest ways to own AI compute rental rather than the hardware or software layers above and below it.
Buy CRWV →Builds the AI server racks and liquid-cooled systems that hyperscalers and GPU clouds deploy at scale.
Buy SMCI →Enterprise and AI server infrastructure; benefits as every company and cloud builds out inference capacity.
Buy DELL →OpenAI-linked names
Public stocks tied to Anthropic's main rival, OpenAI. Useful for tracking the competitive side of the AI race.
Microsoft is OpenAI's largest backer and infrastructure partner through Azure, making it Anthropic's chief rival on the model layer. At the same time, Microsoft offers Claude on Azure, so it benefits when Anthropic's models win enterprise deals even as it competes with them. That unusual position makes MSFT a useful stock for tracking the competitive dynamic between the two leading frontier labs. It is not a pure Anthropic proxy, but it shows up in almost every conversation about where Claude sits in the enterprise stack.
Recent AI-era IPOs
Newly public companies riding the same AI wave Anthropic will list into. A read on how the market prices frontier-AI growth.
SpaceX completed a record-setting IPO in 2026 and now sits at the intersection of launch services, Starlink, and frontier AI. In early 2026 it acquired xAI, bringing the Grok models and the X platform in-house as SpaceX's AI division. That makes SpaceX one of the few publicly tradable tickers with a direct line into a frontier lab, not just the hardware or cloud layers underneath. Investors are effectively buying a bundle of space infrastructure and AI model capability in a single name. For Anthropic watchers, SpaceX is a comparable case study in how the market might price a blockbuster AI-related listing when shares finally trade.
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What the public S-1 will finally reveal
- Audited revenue, gross margin, and operating losses
- Compute and R&D cost structure
- Share classes and voting/governance terms
- Customer and revenue concentration
- Detailed risk factors
Track filings on our IPO page.