By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panel consensus is bearish on retail exposure to OpenAI and Anthropic's potential IPOs via ETFs like AGIX, ARKVX, and ARKK due to risks of dilution, illiquidity, high fees, and regulatory/policy headwinds.
Risk: Regulatory tailwinds that can unwind the entire thesis and reprice private valuations far faster than public markets (ChatGPT).
Opportunity: Potential access to pure upside from OpenAI and Anthropic's growth, if regulatory risks and other hurdles can be navigated (not explicitly stated by any panelist).
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 →
As OpenAI and Anthropic prepare to transition from the two most valuable private companies in the world to publicly traded stocks, excitement is building among growth investors. Both artificial intelligence (AI) companies have filed confidential S-1 registration statements with the Securities and Exchange Commission (SEC), paving the way for potential initial public offerings (IPOs) by the end of the year.
Unfortunately, the IPO process often excludes everyday investors. Instead, companies work with investment banks to prepare the S-1, which details the business model, historical financials, operational risks, and governance structure. A roadshow then follows, during which executives pitch the investment thesis to large institutional buyers.
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Book building is the phase during which underwriters collect indications of demand from hedge funds, mutual funds, endowments, and other accredited investors to set the final offering price. For this reason, retail investors rarely receive allocations at the IPO price, because they lack the relationships or financial scale that banks prioritize.
As a result, most individuals have to wait until IPO stocks list on public exchanges, where initial trading frequently occurs at a premium driven by enthusiasm and limited supply. Fortunately, there are several accessible investment products that provide retail investors with exposure to both OpenAI and Anthropic without needing to wait for the IPO bell.
KraneShares Public-Private AI & Technology ETF (AGIX)
The KraneShares Artificial Intelligence and Technology Public and Private ETF (NASDAQ: AGIX) is interesting because it holds a basket of public stocks that are complemented by select positions in private AI companies. The exchange-traded fund (ETF) has a direct position in Anthropic, giving shareholders exposure to one of the most prominent frontier AI labs.
Beyond this private stake, however, the fund also owns stock in companies that have made strategic investments in Anthropic -- namely, Alphabet and Amazon. This structure creates layered exposure to Anthropic's long-term success. With shares trading right on the Nasdaq, the ETF offers daily liquidity and ease of purchase through standard brokerage accounts.
Overall, the KraneShares AI and Technology Public-Private ETF lets investors capture growth across the full AI value chain -- from generative model developers to the infrastructure and application builders. While its expense ratio of 0.99% is a premium compared to most ETFs, investors should keep in mind that they are paying up for direct exposure to private businesses that are usually off limits.
For investors seeking a targeted AI portfolio that includes a private-market kicker without the accredited investor requirement, this fund provides a straightforward solution.
Cathie Wood's Ark Venture Fund
The Ark Venture Fund(NASDAQMUTFUND: ARKVX) is managed by technology investor Cathie Wood. The fund maintains an 8.5% weighting in OpenAI and 6.4% weighting in Anthropic. Moreover, the Ark Venture Fund holds other high-conviction private names in disruptive innovation, such as Kalshi and Figure AI.
What distinguishes the Ark Venture fund from most ETFs is its structure as an interval fund. An interval fund is a closed-end vehicle that periodically offers to repurchase a portion of shares outstanding from investors. The idea here is to offer more liquidity than a traditional closed-end fund or direct private equity investment.
Investors need to remember that redemptions are limited to the fund's scheduled intervals and may be subject to prorating if sale requests exceed available liquidity. In addition, the Ark Venture Fund requires a $500 minimum investment to buy shares.
With meaningful holdings in both OpenAI and Anthropic, this fund is designed to democratize access to venture capital opportunities while balancing the need for capital flexibility.
What is in the Ark Innovation ETF?
Another one of Wood's funds is the Ark Innovation ETF(NYSEMKT: ARKK). As Wood's flagship ETF focused on disruptive innovation, the Ark Innovation fund incorporates a direct private holding in OpenAI alongside a core portfolio of publicly traded growth stocks in AI, genomics, fintech, and autonomous technology.
The position in OpenAI enhances the fund's thematic alignment with frontier AI development. The Ark Innovation ETF trades on exchanges with full daily liquidity, making it simple for everyday investors to buy or sell shares without restrictions. Although its holdings are far more diversified than a pure private fund, the OpenAI stake provides targeted pre-IPO exposure wrapped inside a familiar ETF.
Like the KraneShares ETF, the Ark Innovation fund boasts a rich expense ratio of 0.75%. For those who already follow Wood's innovation-focused strategy, the fund still represents a convenient way to add OpenAI to your portfolio while also riding the tailwinds of several next-generation technologies.
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Four leading AI models discuss this article
"An imminent year-end IPO for OpenAI and Anthropic is far from assured; the real risk is governance and market timing, which could render pre-IPO exposure in the listed funds illiquid or mispriced."
OpenAI and Anthropic filing confidential S-1s fuels sentiment that IPOs are near, but the path from private labs to public markets is long and vulnerable to governance, valuation, and policy hurdles. OpenAI’s unique capped-profit structure and Microsoft ties complicate the standard IPO playbook, potentially limiting upside for public investors or forcing concessions on governance. For retail exposure, the ETFs named in the piece rely on private stakes and forward-looking valuations that can be illiquid or stale, especially if the IPO is delayed or canceled. Add regulatory scrutiny on AI, export controls, and antitrust risk, and the ‘year-end IPO’ thesis looks optimistic at best.
OpenAI’s and Anthropic’s path to an IPO may be blocked by governance restructuring and regulatory hurdles—making year-end timing far from guaranteed. Moreover, the article’s emphasis on pre-IPO ETF exposure relies on illiquid private stakes that could be hard to monetize if markets sour or delays persist.
"Retail investors are likely overpaying for liquidity-constrained synthetic exposure to private AI firms that face significant structural and financial hurdles before any potential IPO."
The premise that OpenAI and Anthropic are imminent IPO candidates is speculative at best. Both companies are currently burning billions on compute infrastructure, and their governance structures—OpenAI’s non-profit board and Anthropic’s public benefit corporation status—create significant friction for a standard public listing. Investors buying these ETFs are essentially paying high management fees (0.75%-0.99%) for exposure to 'pre-IPO' assets that may face massive dilution or valuation haircuts if they raise further private capital before hitting public markets. The 'democratization' narrative ignores that liquidity in interval funds like ARKVX can vanish during market stress, leaving retail holders trapped in illiquid, high-beta assets.
If these firms successfully IPO at current private valuations, early ETF entrants could capture a massive valuation step-up that public-only investors will miss entirely.
"These ETFs offer convenience, not alpha—you're paying premium fees for exposure to companies already priced for perfection in private markets, with no guarantee the IPO reprices upward."
The article conflates pre-IPO exposure with IPO-timing optionality. AGIX and ARKK offer genuine private-market access, but at a structural cost: you're paying public-market valuations (0.75–0.99% expense ratios) for illiquid private stakes that are already priced into venture rounds. The real risk isn't missing the IPO pop—it's that OpenAI and Anthropic's private valuations ($80B+ and $15B+) already embed euphoric growth assumptions. If either company's IPO prices below recent secondaries, these ETF holders absorb the markdown immediately. The article also omits that Cathie Wood's track record since 2021 has lagged the S&P 500 by 300+ bps annually, yet ARKVX charges 1.5%+ all-in fees.
If OpenAI or Anthropic IPO at 2–3x their current private valuations (as Nvidia did in 2009), being locked into these ETFs at today's prices could deliver outsized returns that dwarf the fee drag.
"High fees and redemption limits in ARKVX and AGIX make them inferior to waiting for direct IPO access or established public AI names."
The article frames AGIX, ARKVX, and ARKK as convenient vehicles for retail exposure to OpenAI and Anthropic ahead of potential 2024 IPOs, yet it underplays structural flaws. ARKVX's interval fund mechanics cap redemptions and impose a $500 minimum, while AGIX and ARKK carry 0.99% and 0.75% expense ratios that compound quickly on private holdings. Confidential S-1 filings do not guarantee timely listings, and private valuations often reset lower once public scrutiny arrives. Layered exposure via Alphabet and Amazon in AGIX adds indirect beta rather than pure upside. These products suit only investors tolerant of illiquidity and fees in an unproven IPO timeline.
If OpenAI and Anthropic clear regulatory hurdles and list at premiums above current private marks, the concentrated stakes in ARKVX could still generate returns that dwarf the expense drag within 12-18 months.
"Regulatory policy risk could reprice private valuations and compress or delay any IPO upside, more than dilution fears tied to future private rounds."
Gemini raises valid concerns about dilution risk for pre-IPO ETFs if OpenAI/Anthropic raise more private rounds, but the bigger, under-discussed risk is regulatory tailwinds that can unwind the entire thesis. If export controls, antitrust scrutiny, or restrictive AI rules intensify, post-IPO multiples may compress, or listings may stall entirely. Illiquidity and fee drag remain—but policy risk could reprice private valuations far faster than public markets.
"OpenAI and Anthropic's IPOs will trigger significant margin compression as they lose subsidized compute access from hyperscalers."
Claude, you’re missing the capital intensity argument. OpenAI and Anthropic aren't just facing valuation haircuts; they are structurally dependent on Microsoft and Amazon for compute credits. An IPO isn't just a liquidity event; it's a desperate attempt to decouple from hyperscaler dependency. If they IPO, they lose the 'strategic partner' discount on GPU costs. Public investors aren't just buying growth; they’re buying the margin compression that happens when these firms start paying market rates for H100s.
"IPO capital enables compute independence, but creates existential conflict with the hyperscalers funding them today."
Gemini's margin-compression thesis is sharp, but it inverts the IPO incentive. OpenAI and Anthropic don't IPO to escape hyperscaler dependency—they IPO to *fund* it. Public equity lets them raise $10B+ for in-house chip design and data centers, reducing per-unit GPU costs below Microsoft's negotiated rates. The real risk: if they succeed, they become infrastructure competitors to MSFT and AMZN, triggering strategic retaliation (pricing pressure, access cuts). That's the unpriced tail risk.
"IPO proceeds cannot offset immediate margin compression or regulatory friction before in-house compute delivers any cost advantage."
Claude's framing inverts the cash-flow reality: even post-IPO, OpenAI and Anthropic face immediate margin pressure from losing hyperscaler GPU discounts before any in-house silicon yields savings, which takes 3-5 years. Gemini's dependency point and ChatGPT's regulatory risks compound here—public investors fund the multi-year transition while antitrust scrutiny on MSFT/AMZN ties could accelerate pricing retaliation.
The panel consensus is bearish on retail exposure to OpenAI and Anthropic's potential IPOs via ETFs like AGIX, ARKVX, and ARKK due to risks of dilution, illiquidity, high fees, and regulatory/policy headwinds.
Potential access to pure upside from OpenAI and Anthropic's growth, if regulatory risks and other hurdles can be navigated (not explicitly stated by any panelist).
Regulatory tailwinds that can unwind the entire thesis and reprice private valuations far faster than public markets (ChatGPT).