The Anthropic IPO Is Coming: History Says the Stock Will Do This After It Starts Trading

Anthropic has filed confidentially for an IPO after a recent Series H round valued it at $965 billion, underscoring the scale of AI startup enthusiasm. The article argues that, based on patterns seen in Palantir, Snowflake, and Cerebras, an initial post-listing pop could be followed by valuation compression once lockups expire and public-market scrutiny intensifies. The piece is more an investor caution note than a new company-specific catalyst.

Analysis

The important second-order read-through is not just “another AI IPO,” but the signaling function for the entire private AI stack. When a near-trillion-dollar model company comes public, it tends to re-rate expectations for adjacent beneficiaries first: hyperscale cloud partners, inference infrastructure, and the picks-and-shovels layer that supplies training/serving capacity. That favors AMZN and GOOGL tactically, but the bigger implication is supply: once private-market liquidity opens, early investors and employees will likely recycle capital into newer AI winners, creating a rotating bid across the ecosystem rather than a straight-line boost to the headline issuer.

The setup is less attractive for public AI incumbents already priced for perfection. PLTR and SNOW are the most obvious comparables because they trade on long-duration AI narratives where multiple compression can arrive before fundamental upside catches up. If the IPO becomes a liquidity event for the broader AI complex, public investors may briefly crowd into the most liquid “AI beta” names, but that usually gives way to valuation discipline after the first two reporting cycles. The key risk window is 1-6 months post-listing, when the market shifts from story to unit economics and net retention.

The consensus is likely underestimating how hard it will be to sustain premium multiples once the lock-up overhang and public-market scrutiny hit. The initial pop is probably the easier part to predict; the harder call is whether this becomes a durable platform IPO or another case where scarcity and FOMO outrun monetization visibility. I’d treat any post-IPO strength as a sentiment event, not a fundamental buy signal, unless management can show unusually efficient compute scaling and customer concentration diversification within the first two quarters.

Key Decisions for Investors

• Avoid initiating long exposure to the new AI IPO on day 1; wait 60-120 days post-listing for lock-up mechanics and first-quarter public numbers to reset the valuation framework.
• Maintain/lean long AMZN and GOOGL over PLTR and SNOW for 3-6 months: hyperscaler exposure captures infrastructure spend without taking direct multiple risk on a single model vendor.
• Use PLTR/SNOW as hedges against AI euphoric risk: a long AMZN / short SNOW pair has cleaner downside protection if the market starts discounting AI software valuations.
• If the new IPO trades 20%+ above deal price on debut, consider a tactical short via puts or a bearish call spread for 30-90 days; the trade works best if implied volatility stays elevated while post-lock-up supply looms.
• Watch for a broader AI basket rotation into the tape: if the IPO catalyzes multiple expansion across semis/cloud, fade that move into earnings unless capex guidance from the hyperscalers steps up materially.