Top 5 AI ETFs and Stocks to Buy Before Anthropic Goes Public

With Anthropic’s IPO reportedly targeted for September or October 2026 and a valuation debate centered around $2 trillion, many retail investors are looking for ways to gain AI exposure right now rather than waiting for a listing they may not get full access to at the offer price. The good news: you don’t need to wait. A handful of publicly traded ETFs and stocks already offer meaningful exposure to the same enterprise AI infrastructure boom fueling Anthropic’s growth.

Key Takeaways

• Semiconductor and infrastructure ETFs have been the strongest-performing AI trade of 2026, with names like the Invesco Semiconductors ETF up over 130% year-to-date.
• Diversified AI ETFs such as the Global X Artificial Intelligence & Technology ETF (AIQ) spread risk across chipmakers, cloud providers, and software companies rather than betting on a single winner.
• Individual mega-cap stocks — Nvidia, Broadcom, Microsoft, Amazon, Meta — all have direct financial exposure to the same compute demand driving Anthropic’s growth.
• Pre-IPO platforms exist for direct Anthropic exposure but carry liquidity, accreditation, and fee-structure risks not present in publicly listed ETFs and stocks.
• No single ETF or stock is a perfect proxy for Anthropic specifically — this is about sector exposure, not a substitute for owning the company itself.

Why Consider AI-Adjacent Exposure Before the IPO?

Retail investors are structurally disadvantaged when it comes to accessing shares at the actual IPO offer price — that allocation typically goes to institutional clients and high-net-worth wealth management relationships tied to the underwriting banks (Morgan Stanley, Goldman Sachs, and JPMorgan, in Anthropic’s case). Building exposure to the broader enterprise AI ecosystem ahead of time is one practical way to participate in the theme without needing IPO-day access.

It’s also a risk-management move. Anthropic’s reported valuation target implies a multiple of roughly 30x its trailing $65 billion revenue run rate — a single-name bet at that pricing carries real valuation risk if growth decelerates even modestly. Diversified exposure spreads that risk across dozens of companies at various points in the AI value chain.

1. Semiconductor ETFs: The Infrastructure Backbone

AI models like Claude don’t run without chips. The VanEck Semiconductor ETF (SMH) and the Invesco Semiconductors ETF (PSI) both offer concentrated exposure to the companies building the physical infrastructure behind every large language model’s training and inference workloads — including Nvidia, Broadcom, and equipment makers whose revenue scales directly with AI compute demand.

• VanEck Semiconductor ETF (SMH): Tracks a market-cap-weighted index of roughly 25 semiconductor companies; heavily concentrated in Nvidia and Taiwan Semiconductor Manufacturing (TSMC).
• Invesco Semiconductors ETF (PSI): A narrower, 30-stock portfolio focused specifically on chip production; posted triple-digit percentage gains in 2026 amid the broader AI infrastructure buildout.

Trade-off: These funds are more exposed to Nvidia- and TSMC-specific risk than diversified software-focused funds, and don’t capture the enterprise software/SaaS side of the AI value chain where Anthropic itself operates.

2. Diversified AI & Technology ETFs

For investors who want exposure across the full AI stack — chips, cloud, software, and applications — rather than concentrated semiconductor risk, broader thematic ETFs offer a more balanced approach.

• Global X Artificial Intelligence & Technology ETF (AIQ): Holds a mix of established tech leaders and faster-growing innovators across machine learning, cloud computing, and data analytics, with top holdings including Taiwan Semiconductor, Nvidia, and Apple. Roughly $7.6 billion in assets under management.
• Invesco AI and Next Gen Software ETF (IGPT): Leans more heavily toward AI software developers and cloud infrastructure providers rather than pure semiconductor exposure, with holdings including Micron, Meta, and AMD.

Trade-off: Diversification reduces concentration risk but also dilutes the magnitude of any single winner’s outperformance relative to a concentrated bet.

3. Data Center & Digital Infrastructure Exposure

Every additional dollar of AI revenue — Anthropic’s included — requires physical data center capacity. The Global X Data Center & Digital Infrastructure ETF (DTCR) offers a distinctive angle: roughly split between technology stocks and real estate investment trusts (REITs) tied to data center construction and operation, capturing the physical buildout side of the AI boom rather than the model layer.

Trade-off: REIT exposure introduces interest-rate sensitivity that pure tech ETFs don’t carry, which can be a benefit or drawback depending on the broader rate environment.

4. Individual Mega-Cap Stocks With Direct AI Compute Exposure

For investors comfortable with single-stock risk, several established companies have direct financial ties to the same compute demand fueling Anthropic’s growth:

Amazon in particular has a direct commercial relationship with Anthropic through AWS, which has both invested in and hosts Anthropic’s models for enterprise customers — making AMZN one of the more directly linked mega-cap plays on Anthropic’s specific success, short of owning Anthropic stock itself.

5. Quantum & Next-Generation Compute (Higher Risk, Longer Horizon)

For investors willing to take on more speculative, longer-horizon exposure, the Defiance Quantum ETF (QTUM) invests in companies developing next-generation computing technology that could eventually reshape AI training economics, including Tower Semiconductor, Rigetti Computing, and Teradyne.

Trade-off: Quantum computing remains years away from mainstream commercial application in AI workloads — this is a long-duration, speculative complement to core AI exposure, not a near-term Anthropic proxy.

Comparing the Options

What None of These Options Replace

It’s worth being direct: no ETF or adjacent stock replicates Anthropic’s specific growth trajectory, its ~$65 billion revenue run rate, or its potential re-rating catalyst around IPO day. These are sector proxies, not substitutes. Investors specifically seeking Anthropic exposure will eventually need to either buy shares in the open market after listing or explore pre-IPO platforms — each with materially different risk profiles than a liquid, exchange-traded fund.

FAQ

Is there an ETF that already holds Anthropic stock? Not currently, since Anthropic is not yet publicly traded. Once it lists, some broad-based AI and technology ETFs may add it to their holdings depending on index methodology and market-cap weighting rules.

What’s the safest way to get AI exposure before the Anthropic IPO?

Diversified ETFs like AIQ or IGPT generally carry lower single-name risk than concentrated semiconductor funds or individual stocks, making them a more conservative way to participate in the broader AI theme ahead of the listing.

Does Amazon benefit directly from Anthropic’s growth?

Yes — Amazon has an investment and infrastructure relationship with Anthropic through AWS, which hosts Anthropic’s models for enterprise customers via AWS Bedrock, giving AMZN a more direct (though indirect, non-equity) link to Anthropic’s commercial success.

Should I wait for the Anthropic IPO instead of buying AI ETFs now?

That depends on your risk tolerance and time horizon. Many financial advisors suggest building diversified sector exposure over time rather than trying to time a single event like an IPO, which can carry significant first-day volatility.