Public-market exposure to Anthropic and OpenAI spreads across six listed names. The AI-lab share of each parent's market cap ranges from under 1% to over 40% — and the most concentrated bets aren't the ones most investors reach for.
Synopticon · April 30, 2026 · Reference valuations: OpenAI $852B (post-money, April 1), Anthropic $900B (rumored Q2 round)
If you wanted to buy Anthropic or OpenAI through a public stock, what would you pick? Most people say MSFT or NVDA. The actual answer — if "concentration of stake relative to market cap" is what you mean by an AI-lab bet — is two foreign-listed names: SoftBank Group (SFTBY, ADR for 9984.T) and SK Telecom (SKM, ADR for 017670.KS).
This piece walks through who actually owns Anthropic and OpenAI on the public side, why the dollar headline numbers are misleading, and how the accounting fictions, NAV discounts, and friction costs sort the six listed names into very different kinds of trades.
Six US-listed companies hold meaningful stakes in the two frontier labs. Ranked by share of the parent's own market cap that is the AI-lab stake, they look like this:
| Ticker | Lab | % of market cap | Implied stake (USD) | What it really is |
|---|---|---|---|---|
| SFTBY | OpenAI | ~44% | ~$94B (11% of $852B) | Largest external private investor; held inside a holding company at a NAV discount |
| SKM | Anthropic | ~17% | ~$2.4B (0.27% of $900B) | Diluted from 2% in 2023; smallest stake, largest concentration |
| MSFT | OpenAI + Anthropic | ~7.9% | ~$240B aggregate | Equity-method accounting on OpenAI; carrying value $135B, not the $230B fair value |
| AMZN | OpenAI + Anthropic | ~7.0% | ~$200B aggregate | Anthropic mostly markup; OpenAI $50B is $15B firm + $35B contingent |
| GOOGL | Anthropic | ~2.6% | ~$110B | Capped at 15% of Anthropic by DOJ antitrust agreement |
| NVDA | OpenAI + Anthropic | ~1.0% | ~$50B aggregate | Mix of equity and compute-credit consideration; split undisclosed |
Market caps as of April 30, 2026: MSFT $3.03T · AMZN $2.85T · GOOGL $4.20T · NVDA $4.85T · SFTBY $213B · SKM $14.3B.
The spread between the most and least concentrated public bet is roughly 50×. That's the article.
The same dollar of AI-lab equity gets treated radically differently across companies. This is the most underappreciated angle in any public-markets read of the sector.
Mark-to-market (Amazon, Alphabet). Both hold their Anthropic stakes at fair value. When a new round prices Anthropic up, the existing stake is marked up, and the gain flows through GAAP earnings. In Q1 2026, Amazon booked a $16.8B pre-tax gain on its Anthropic line. Alphabet booked $36.9B in equity gains (~$28.7B reaching net income), the bulk of it Anthropic-linked. If the rumored $900B Anthropic round closes in Q2, both could see another $50–90B in markups.
Roughly half of Alphabet's record $62.6B Q1 profit didn't come from search ads, cloud, or any product — it came from updating equity values, primarily Anthropic. More than half of Amazon's pre-tax income in the quarter was the same line item.
Equity method (Microsoft). A >20% stake forces equity-method accounting. Microsoft books OpenAI's actual losses and gains, not valuation step-ups. The carrying value is ~$135B, set at the October 2025 PBC restructuring. Through FY26: a $3.1B loss in Q1, a $7.6B gain in Q2 (the restructuring step-up), a $14M loss in Q3. The April 2026 $852B round generated no markup on Microsoft's books, even as the implied fair value of the stake jumped to ~$230B.
The circular-financing observation. When Amazon and Alphabet invest more in Anthropic, that activity helps push the next round price higher, which marks up their existing stake, which prints as profit. The accounting is technically correct. But the largest investors are materially influencing the valuations driving their own reported earnings. This is a unique feature of the current AI cycle — not present in any prior tech bubble — and it's worth flagging before any reading of the income statements.
SoftBank Group (SFTBY, the ADR for Tokyo-listed 9984.T) is a holding company. It is not SoftBank Corp. (9434.T), the Japanese telecom subsidiary — a confusion that costs unprepared retail investors more than it should.
SFTBY's gross NAV at end-April 2026 is roughly $343–381B: Arm Holdings (~$126B, public, 90% ownership), OpenAI (~$77–94B), the SoftBank Corp. telecom stake (~$26B), ByteDance (~$16–18B), Coupang (~$17B), PayPay (~$12–15B), other Vision Fund public positions (~$13B), the T-Mobile / Deutsche Telekom residual (~$10B), private AI bets (~$4–5B), and ~$25B of cash. After ~$90B of net debt, net NAV lands at ~$253–291B. The market cap is ~$213B. That gap is the NAV discount — ~25–30%, currently at the lower end of SFTBY's historical 20–60% range.
The discount exists for real reasons: tax leakage on realised gains, capital-allocation track record (WeWork, Wirecard, Katerra), illiquidity of private holdings, conglomerate management overhead, and ADR / currency mechanics. None of these are going away.
What's useful is the "two springs" mental model. SFTBY's stock moves on two independent forces:
These can pull together (the 2024–2026 AI rally) or against each other (2022, when NAV fell and the discount widened — SFTBY dropped 60%+ in a year). For the investor whose thesis is OpenAI, the SFTBY trade is OpenAI exposure plus a sentiment bet on the discount, packaged together. That's not a bug; it's the trade.
SK Telecom is a Korean telco. Its core business is wireless service, fixed-line, and 5G infrastructure. Sitting on the balance sheet is a 0.27% stake in Anthropic, originally acquired in 2023 when Anthropic was valued at $5B. That ~$10M cost basis (rough estimate) has compounded against a 180× rise in the lab's valuation. At the rumored $900B mark, the position is worth ~$2.4B — about 17% of SKM's $14.3B market cap.
Two structural points:
The friction: SKM is a dividend-paying foreign telco with regulatory exposure (KCC), Korean tax treatment, and ADR conversion mechanics. It's not a clean Anthropic ETF.
For accredited investors, Hiive, Forge, and EquityZen sell direct OpenAI and Anthropic shares. The pitch is "purity": skip the conglomerate friction, own the lab directly. The math doesn't quite hold.
Stack the friction up and you lose roughly 25–40% of the theoretical purity gain to fees and taxes. A 3× gross return scenario nets ~2.3× through a typical SPV structure. For most accredited investors with sub-million-dollar checks, the public alternatives compete or beat that on a risk-adjusted basis — especially once liquidity is priced in.
"AI exposure" through public markets isn't one trade. It's a small set of trades with very different shapes:
The honest conclusion: there is no clean public AI-lab trade. The best risk-adjusted version is SFTBY at the current discount; the most asymmetric is SKM; the cleanest narrative trade is MSFT but the exposure is too diluted to count. Pick the trade-off knowingly.