Want to Own Stock in SpaceX, OpenAI, and Anthropic Pre-IPO? Here's How.

ARK Venture Fund holds concentrated private positions including SpaceX (17%), OpenAI (11%), and Anthropic (4%). SpaceX reported roughly $16B revenue and $8B profit last year, had an $800B valuation in December and — after merging with xAI — is targeting an IPO valuation up to $2T; OpenAI’s revenue run rate hit $25B (Feb 2026) with a post-money valuation of $852B (34x annualized sales); Anthropic’s run rate reached $30B (Apr 2026) with a $380B valuation (~13x sales) and projects profitability by 2028. The fund charges a 3.49% gross expense ratio, is an interval fund with quarterly liquidity, and is limited in retail availability (SoFi, Titan) which increases investor access risk despite exposure to high-growth private names.

Analysis

The market is pricing a multi-year, capital-intensive buildout of AI and new-asset IPOs into private valuations; the clearest second-order beneficiary pattern is firms that sell incremental, repeatable units (compute, cloud services, exchange execution) rather than one-off application wins. That implies public infra and marketplace businesses will capture a disproportionate share of durable economics even if headline private prices compress after IPOs. Expect margin tailwinds for scalable platform providers but greater cash-burn and dilution risk for application-layer incumbents that require ongoing R&D and sales expansion.

Interval/limited-liquidity vehicles create predictable, calendar-driven repricing events: quarterly repurchase windows compress bid liquidity and amplify flows into the handful of distribution partners that control retail access. That mechanism raises the probability of transient discounts to fair value ahead of repurchase dates and sudden re-ratings when large private-to-public transitions (direct listings, secondary sales) recycle stock into public markets. It also concentrates flow risk into broker-dealers and consumer platforms, which can be a levering point for sentiment-led volatility.

Regulatory and execution risks are asymmetric and timeline-dependent. Over 6–24 months a combination of more aggressive safety/competition rules, slower-than-expected enterprise adoption cycles, or a compute-capacity oversupply could force multiple compression across both private and public AI plays. Conversely, a near-term acceleration in enterprise deployments or a surprise efficiency gain in silicon could lift public infra names ahead of private IPO windows, producing a classical ‘lead-lag’ opportunity for liquid exposure.

Key Decisions for Investors

• Long NVDA via a 9–12 month call spread (buy ATM call / sell 20–30% OTM call) sized 1.5–2.0% of portfolio notional — objective: capture a +30–50% move in NVDA tied to incremental AI compute demand; max loss = premium paid, target 2:1–3:1 payoff if NVDA re-rates on outsized demand.
• Pair trade: overweight MSFT (+1.0–1.5% net long) and AMZN (+1.0% net long) vs underweight concentrated private-exposure funds (reduce ARKVX exposure or equivalent by 2–3%) over a 6–18 month horizon — rationale: capture cloud revenue capture and margin resilience while avoiding expense/illiquidity drag; tail risk if private IPO mania re-rates both public and private simultaneously.
• Event/arbitrage: maintain a small, opportunistic short or avoid position in interval/illiquid venture funds (ARKVX) ahead of quarterly repurchase windows — implement via borrow or cash underweight in platforms where liquid short exists; target capture of 200–500bps drag from fees/liquidity mismatch over 12 months, limited by potential one-off re-rating if big IPOs surprise to the upside.
• Distribution pair: long SCHW (0.75% position) and short SOFI (0.75%) for 3–6 months to play professional advisory channel resilience vs retail flow concentration — risk: retail-driven flow spike could temporarily lift SOFI; reward: SCHW benefits from indexed/IFA flows and margin on execution if IPO pipeline materializes.