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71

Anthropic's $2 Trillion IPO: The Market Is Betting on a Narrative, Not a Company

Chuyên đề | Lê Thế |

When a Polymarket prediction hits 70%, the market is not reasoning—it's reacting.

I've seen this pattern before. In DeFi Summer 2020, the same probabilistic enthusiasm drove liquidity into projects with no product. Now, Polymarket users are pricing an Anthropic IPO in October at 70%, and by year-end at 83%.

But here's the trap the crowd is missing: the source of this data is a prediction market, not a balance sheet. The crowd is betting on a narrative, not on a company's fundamentals.

Let me calibrate the signal.

The core facts are from WSJ and Reuters: Anthropic executives are meeting with investors, a September or early October IPO is possible. The company's annualized revenue is around $47 billion, with a 2028 target of $190-200 billion. The target valuation is $2 trillion.

These numbers are real. But the map they draw is dangerously incomplete.

Context: The Narrative Hunter's Lens

I've been tracking AI narratives since 2017, when I bought into an ICO that promised "Internet of Value." That 20x taught me one thing: the market doesn't price the present—it prices the story of the future.

Anthropic is the same. The $2 trillion valuation is not a function of its current $47 billion revenue run rate. At that multiple, the current P/S ratio is ~42.6x. For a traditional software company, that's unsustainable. For a narrative-driven AI company, it's a bet on the 2028 revenue target of $200 billion, implying a forward P/S of ~10x.

10x is not crazy for a high-growth SaaS. Salesforce traded at 8-12x forward P/S during its hypergrowth phase. The problem is that Anthropic is not a pure SaaS company. It's a model provider with massive inference costs, a capital expenditure burden that is entirely opaque, and a revenue structure that may be heavily dependent on its strategic investors—Amazon and Google.

Core: The Mechanics of the Narrative

The market is betting on three unproven assumptions:

  1. The AI enterprise market will expand by an order of magnitude in three years.
  2. Anthropic will maintain its position as the #2 player, close enough to OpenAI to command a premium.
  3. The company's "safety-first" positioning will translate into a durable competitive moat.

I've seen this movie before. In 2021, every NFT project with a "PFP" narrative was priced as if it would be the next CryptoPunks. I lost 5 ETH to a rug pull that taught me a simple rule: narrative without fundamentals is a trap.

Let me dissect the valuation mechanics.

The $2 trillion target implies that the market is pricing Anthropic as a "super-blue-chip" before it has proven its profitability. If the company achieves a 25% net profit margin in 2028 (an extremely optimistic assumption given inference costs), the forward P/E would be ~40x. That's acceptable. But if margins are only 10-15%, the P/E jumps to 67-100x. That's bubble territory.

The article mentions that the $2 trillion target is "more than double the $965 billion valuation from the May funding round." That's a 100%+ valuation jump in five months. I've seen this acceleration in the 2000 dot-com bubble and the 2021 SPAC craze. The outcome was always binary: either the narrative sustains itself, or it collapses under its own weight.

There's a hidden detail here: the IPO pricing conflict. If Anthropic's private valuation is ~$1 trillion, and the IPO target is $2 trillion, the early investors have a 100% paper gain. To attract public market capital, the IPO price usually needs to be lower than the latest private round. This creates a "split narrative": a high target valuation but a lower actual pricing. If the IPO prices below $1.5 trillion, it will be seen as a failure, triggering a repricing of the entire AI sector.

Anthropic's $2 Trillion IPO: The Market Is Betting on a Narrative, Not a Company

Contrarian: The Blind Spots

The most dangerous blind spot is the revenue concentration. The article states that $47 billion in annualized revenue is "impressive," but it doesn't disclose the breakdown. If Amazon and Google, who are both investors and customers, contribute more than 50% of that revenue, then Anthropic's "independent" story is a fiction. The company is a strategic asset for the cloud giants, not an independent market leader.

Another blind spot is the cost structure. The article is completely silent on operating expenses, gross margins, and capital expenditure. The inference cost for a model like Claude is enormous. If the gross margin is only 40-50%, the $2 trillion valuation becomes a fantasy. The market is buying the revenue line without understanding the cost line.

Finally, the security narrative. Anthropic's "safety-first" positioning is its biggest differentiator. But this is a double-edged sword. If a major AI safety incident occurs in the next 18 months—a model leak, an agent abuse event—Anthropic, as the "safety benchmark," will face the largest trust discount. The market is not pricing this tail risk.

Takeaway: The Next Narrative

Anthropic's IPO is not a test of the company—it's a test of the market's ability to price a narrative without fundamental anchors.

If the IPO succeeds at $2 trillion, it will set a new ceiling for the entire AI sector. OpenAI, xAI, and others will benefit from the "co-movement" effect. If it fails, the repricing will be brutal.

I'm watching two signals: the S-1 filing (which will reveal the revenue concentration and cost structure) and the IPO pricing range. If the range is below $1.5 trillion, I'll treat it as a signal that the market is waking up.

But right now, the narrative is still running. The question is not whether Anthropic is a good company—it is. The question is whether the market can sustain a $2 trillion valuation for a company that hasn't yet proven its profitability.

I've seen this game before. The winner is not the one who buys the narrative, but the one who sells before the crowd realizes the story is over.

When the signal is silent, I've already set the trap.

Anthropic's $2 Trillion IPO: The Market Is Betting on a Narrative, Not a Company

This analysis is based on my 11 years of observing market narratives, from ICOs to DeFi to NFTs. The signals are never perfect, but the framework is always the same: hunt for the narrative, understand the mechanics, and know when the story is priced in.

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