The Company Behind Claude Just Filed for an IPO. Is It Worth Buying?

Anthropic has confidentially filed to go public after a $65 billion funding round that valued the company at $965 billion post-money, positioning it to beat OpenAI to market. The company said its revenue run rate surpassed $47 billion in May and it expects revenue to more than double to $10.9 billion this quarter, with a first quarterly operating profit also expected. The article argues Anthropic may be the more attractive AI IPO given its faster growth, stronger model performance, and roughly 20x sales multiple.

Analysis

Anthropic’s choice to surface first is less about vanity and more about primary-market sequencing: in a capital-constrained IPO window, being the first credible AI mega-cap can absorb a disproportionate share of “AI barbell” demand before investor budgets are spent on OpenAI or other late-stage private tech. That creates a subtle winner-take-most dynamic for the adjacent public beneficiaries as well: GPU, cloud, and enterprise-software names may see a short-term halo from renewed AI underwriting appetite, but the real second-order effect is tighter competition for private-market multiples across the entire AI complex.

The more interesting signal is not the top-line growth, but the implied conversion from growth to operating leverage. If the company can credibly show near-term operating profitability while still expanding at triple-digit rates, it would force the market to re-rate AI software less as “research spend with an option value” and more as a scalable distribution business. That is bullish for high-quality AI platform peers, but it is also a warning for lower-moat names that have relied on AI branding without clear monetization; those firms could see multiple compression once a true benchmark sets the clearing price.

The contrarian risk is that public-market scrutiny will compress the narrative premium faster than the business can digest it. Once the S-1 is out, any signs of customer concentration, inference-cost pressure, or model-training capex intensity could quickly shift the debate from growth to durability, and that matters more than revenue at this stage. A near-term pop is plausible on scarcity and first-mover status, but the six-to-twelve-month trade will likely hinge on whether margin expansion is real rather than propped up by favorable mix or deferred spend.

Key Decisions for Investors

• Long NVDA vs. short INTC for 1-3 months: the IPO wave should reinforce demand for best-in-class AI compute, while Intel is more exposed to a ‘late-cycle AI catch-up’ discount; target 8-12% relative outperformance, stop if broad AI sentiment breaks.
• Add to GOOGL on any IPO-related softness over the next 2-6 weeks: a public AI benchmark tends to validate enterprise AI spend and search/ads integration; upside is multiple support rather than earnings acceleration, so use dips rather than strength.
• Avoid chasing LYFT/UBER on the headline: the Lyft comparison is a sentiment analogy, not a fundamental catalyst; if anything, a crowded IPO calendar can temporarily divert risk capital away from mobility names.
• Sell covered calls or trim high-beta AI software names with weak cash-flow visibility into the IPO window: the market is likely to reward the rare profitable AI platform and punish ‘story stock’ peers with inferior unit economics.
• If Anthropic pricing is eventually disclosed above a high-20s sales multiple, consider fading the first post-IPO pop with a put spread after lockup / early trading stabilizes; risk/reward improves once scarcity premium decays and fundamentals become tradable rather than aspirational.