Pre-IPO Market for Anthropic and OpenAI Faces Liquidity and Valuation Crunch

On July 3, 2026, an analysis of private secondary markets identified a significant divergence in liquidity and pricing between leading AI companies OpenAI and Anthropic. Bid-ask spreads for OpenAI shares reportedly widened to over 30% in recent weeks, reflecting heightened uncertainty around future dilution events. Valuation estimates for Anthropic, meanwhile, have remained relatively stable near its last primary funding round of $75 billion, though transaction volumes have slowed by an estimated 40% quarter-over-quarter.

Context — why this matters now

The current tightening reflects a broader shift in late-stage private market liquidity. The last major liquidity crunch in tech pre-IPOs occurred in late 2022, when a 30% drop in public tech valuations froze secondary activity for over six months. The current macro backdrop features elevated benchmark interest rates, with the 10-year Treasury yield near 4.5%. This reduces the relative attractiveness of high-growth, long-duration private assets.

A key catalyst for the current stress is a pullback by large crossover funds and family offices. These traditionally active buyers are now prioritizing liquidity in their public portfolios. This has left a smaller pool of specialized secondary funds to absorb selling pressure. The situation is compounded by increased regulatory scrutiny on AI model exports and potential antitrust reviews, introducing new execution risks.

The trigger is a wave of secondary supply from early employees and seed investors seeking exits. Many face expiring lock-up provisions from funding rounds completed 3-4 years ago. With IPO timelines for major AI firms extending into 2027 or beyond, these stakeholders are turning to the secondary market as their only viable liquidity path, creating an imbalance of sellers over buyers.

Data — what the numbers show

The secondary market data reveals stark contrasts between the two AI leaders. Based on recent transaction leaks and fund marks, OpenAI's implied valuation range spans from $60 billion to $90 billion. This represents a potential 40% discount to its peak $150 billion valuation target from early 2025. In contrast, Anthropic shares have traded in a narrower band of $70 billion to $80 billion, approximately flat to its last primary round.

Transaction volume provides another key data point. Forfeiture Market data indicates only $120 million in confirmed OpenAI secondary trades settled in Q2 2026, down from over $500 million in Q4 2025. Anthropic saw roughly $80 million in volume, a 40% sequential decline. The average deal size has shrunk from $15 million per block to under $5 million, indicating a shift to smaller, retail-focused platforms.

A comparison of implied revenue multiples shows the market's divergent risk assessment. Using leaked financials, OpenAI trades at an estimated 25x forward revenue, down from over 40x last year. Anthropic trades near 18x forward revenue. This contrasts with public AI software peers like Palantir (PLTR), which trades at approximately 12x forward sales. The premium for private shares has compressed but remains significant.

Secondary share prices for AI firms also underperformed the public market in the last quarter. The Nasdaq-100 Technology Sector index (NDXT) gained 8% in Q2 2026. During the same period, the median secondary price for a basket of top 10 private AI companies, including OpenAI and Anthropic, declined by an estimated 12%. This 20-percentage-point performance gap highlights the unique liquidity premium and risk repricing in private markets.

Analysis — what it means for markets / sectors / tickers

The illiquidity in AI secondaries creates second-order effects across public markets. Specialized secondary funds like Neuberger Berman's Dyal Capital or Blackstone's Strategic Capital Group face mark-to-market losses on their portfolios. This may pressure their ability to raise new capital for the asset class. Publicly traded venture capital firms with large private AI exposure, such as SoftBank Group (9984.T) or Tiger Global Management, could see NAV write-downs affecting their public share prices.

Sector beneficiaries include public cloud and semiconductor companies seen as more stable AI plays. Demand for Nvidia's (NVDA) hardware remains insulated from private company funding woes. Microsoft (MSFT), as a major OpenAI investor and infrastructure provider, may benefit from consolidation if weaker private players seek partnerships. Companies providing secondary market infrastructure, like Forge Global (FRGE) or Nasdaq Private Market, face mixed impacts: higher volatility drives volume but also deters some participants.

A key counter-argument is that this represents a healthy correction, not a systemic issue. High-quality assets like Anthropic continue to attract bids, and the widening spread for OpenAI may simply reflect company-specific governance or dilution concerns rather than a market-wide failure. The current repricing could set a firmer foundation for eventual IPOs by aligning private valuations more closely with public market comparables.

Positioning data shows institutional sellers are now dominant. Hedge funds that entered the secondary market in 2024 as buyers are now net neutral or short via synthetic puts on private company indices. The flow of capital is moving toward structured products that offer downside protection, such as preferred equity with liquidation preferences, rather than common shares. Retail platforms are seeing increased sign-ups from sellers, but buyer interest has plateaued.

Outlook — what to watch next

The immediate catalyst is Anthropic's next scheduled funding round, anticipated before the end of Q3 2026. A flat or down round would signal broader valuation pressure and likely trigger a re-rate across the entire private AI sector. The next Federal Open Market Committee decision on September 18 will also be critical. Any signal of prolonged higher rates will further depress demand for long-duration private assets.

For OpenAI, the key date is its expected secondary tender offer for employees, rumored for October 2026. The size of the offer and the discount accepted will serve as a direct benchmark for market-clearing prices. Regulatory decisions from the FTC on AI model competition, expected by year-end, could either alleviate or exacerbate antitrust overhangs that currently depress valuations.

Levels to watch include the 20% discount threshold. If secondary prices for top-tier AI firms stabilize at discounts of 20% or less to their last primary round, it may indicate a market bottom. A breach beyond a 50% discount would likely trigger forced selling from leveraged holders and require direct intervention from lead venture investors to provide liquidity support. Monitoring the bid-ask spread compression is crucial; a sustained move below 15% would signal returning liquidity.

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