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Home/Markets Floor
Markets Floor
Anthropic's $2 Trillion IPO Bet: When Growth Projections Replace Profit Math

Anthropic's $2 Trillion IPO Bet: When Growth Projections Replace Profit Math

Investment banks discover 'AI is different this time' still plays with institutional money

Rex VolkovSeptember 9, 2026 5 min read

Anthropic is targeting a $2 trillion valuation in an October initial public offering that would make it the largest stock-market debut in history. For context, that is more than double the $965 billion valuation it received in its most recent funding round and roughly equivalent to the combined market capitalizations of Samsung Electronics and SK hynix. The investment banks leading the deal—Morgan Stanley, Goldman Sachs, and JPMorgan—are betting they can move that number. Senior executives have not, notably, established an IPO valuation target themselves. Investors have instead produced their own financial models based largely on the company's recent growth, which is where this story gets interesting.

Anthropoic's annualized revenue run rate exceeded $65 billion by the end of July 2026, up from approximately $47 billion in May and about $9 billion at the end of 2025. The market expects the company's ARR to reach $100 billion to $120 billion by year's end. The $2 trillion valuation target rests on projections for revenue of $190 billion to $200 billion in 2028. The company also posted positive adjusted operating income in its most recent period, reversing a roughly $5.6 billion loss in 2024. This is the chart the bankers will show institutional investors in October. It looks like a hockey stick. It always does.

But here is where the math stops cooperating. OpenAI, which Anthropic's investors treat as the closest comparable, recorded a $39 billion loss in the prior year ahead of its own valuation ascent. That number leaked just as the broader AI investment thesis was beginning to encounter friction from reality—competition from lower-cost Chinese models, growing regulatory pressure, and a temporary Commerce Department ban on Anthropic's leading models that contributed to slower revenue growth in June. Anthropic's flagship product also costs more than two and a half times as much to use as OpenAI's equivalent offering. Scale, it turns out, remains expensive.

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The question now is whether investment banks can convince institutional money that 'but this time AI is different' still works as a narrative after the OpenAI loss became public knowledge. The bankers are already pushing for top-tier credit ratings for both Anthropic and OpenAI post-IPO, despite their limited operating histories and the fact that both companies are burning through capital at rates that would make a 1990s dot-com executive blush. A rating agency has to believe in the story. They have to believe revenue projections that assume exponential adoption and pricing power in a market where every major technology company is building competing models. They have to believe that the company currently losing billions will eventually monetize at scales that justify a $2 trillion valuation. They have to believe that the person who built Claude can scale profitably in a sector where lower-cost competition is a month away and regulatory headwinds are constant.

Anthropoic's leadership team clearly believes it. The investors who built the $965 billion valuation clearly believe it. The question is whether the institutional capital that will actually write the October cheques believes it, or whether they are simply convinced that other people believe it and will bid the stock higher regardless. That distinction has, historically, mattered more than it should.

The IPO prospectus is due after Labor Day. Morgan Stanley, Goldman Sachs, and JPMorgan have until late September or early October to move the needle on $2 trillion. They are very good at their jobs. The question is whether the job they are doing—pricing faith, not math—will hold once the opening bell rings.

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Photo by AlphaTradeZone via Pexels

Rex Volkov

Staff writer covering financial markets and corporate strategy. Has strong opinions about spreadsheets.

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