Anthropic ускоряет IPO; expected fundraising amount could exceed SpaceX’s record
AI company Anthropic is accelerating its push toward an initial public offering (IPO). According to media reports citing people familiar with the matter, the company expects its IPO fundraising to match or even surpass the historical scale set by SpaceX. SpaceX’s initial fundraising totaled about $75 billion; after including the over-allotment option, it reached roughly $86.2 billion, which is seen as one of the largest IPOs in history. The discussions are still ongoing, and there are variables such as the final size. At this stage, it remains in the preparation and expectation phase rather than a priced, finalized outcome.
On key facts, Anthropic plans to publicly file listing documents as early as the end of this month and has already submitted confidential materials. It is working with underwriting teams at Morgan Stanley, Goldman Sachs, and JPMorgan Chase, among other banks, to advance underwriting arrangements. In May of this year, the company completed about $65 billion in financing at a valuation of roughly $96.5 billion, exceeding OpenAI’s then-valuation of around $85.2 billion. On governance, the company is considering introducing a super-voting rights structure to strengthen post-IPO decision-making control for CEO Dario Amodei and the founding team. There are also reports that prior to the IPO it plans to finalize a revolving credit facility with a size higher than a prior target of about $10 billion. Performance shows high growth alongside heavy investment: preliminary second-quarter revenue exceeded $11.5 billion, jumping sharply from about $787 million in the same period last year. By the end of July, the annualized revenue run rate was around $65 billion. The adjusted operating profit for the second quarter is said to have turned positive, but the company is expected to record net losses of about $42 billion in 2025, expanding to nearly five times last year’s roughly $8.3 billion. The company also reached a compute-related agreement with SpaceX; over the next three years, the potential value could reach several tens of billions of dollars. Market participants believe that if it successfully goes public and breaks through existing fundraising thresholds, the size of the U.S. IPO market in 2026 could stand out even more. Its timing is also expected to be earlier than the target window, pointing to around 2027 for OpenAI.
From a logic standpoint, whether an ultra-large IPO can truly materialize depends less on “narrative heat” and more on whether the deal can be simultaneously accepted by the public market in three areas: first, whether revenue surges can sustainably cover capital expenditures on compute for training and inference; second, whether cash flow and financing structures during the high-loss phase are transparent, and thus can be priced; and third, whether arrangements such as super-voting rights can achieve a balance between liquidity and founder control. Its compute partnership with SpaceX links commercial spaceflight capacity, data centers, and spending for training cutting-edge models into a longer, capital-intensive chain—highlighting that the AI race is still fundamentally a competition for compute, energy, and balance sheets. It is important to separate facts from speculation: what has been disclosed includes the financing valuation, revenue and loss magnitudes, underwriting and governance directions, and the progress of confidential submissions. Claims such as “fundraising exceeds SpaceX’s record” or “rewriting the annual IPO ranking” still depend on the final offering size, market absorption capacity, and the pricing window, and therefore fall under forward-looking judgment.
Impact on the crypto market is mostly an indirect path via risk appetite and thematic mapping, rather than a direct mapping of fundamentals. A cluster of large AI companies moving toward public markets may reshape valuation anchors for global growth assets and influence the timing of capital flows between primary and secondary markets. If a “monster” issuer’s offering temporarily diverts risk budgets, it could suppress short-term risk appetite for highly volatile instruments, including crypto assets. If AI capital expenditures are interpreted as long-term productivity gains, optimism could propagate along two lines—liquidity expectations and correlations with technology stocks—into higher-beta assets. Meanwhile, constraints on compute, data centers, and energy may strengthen the “AI infrastructure” narrative and indirectly lift discussion momentum around compute-related applications, on-chain agents, and infrastructure themes. However, such mapping is mostly about sentiment and theme rotation, lacking a rigid cash-flow connection to any single token. Therefore, IPO rumor lines cannot be linearly extrapolated into market signals.
Editor’s take: The current main information thread comes from people familiar with the matter and media reports. The formal S-1 terms, the final fundraising range, equity-structure details, and the listing timing could still change. High revenue growth and expanding losses coexist, suggesting that accelerating commercialization has not removed the cost constraints of model iteration. For practitioners in crypto, what may be more worth tracking is how the AI capital expenditure cycle affects expectations for U.S. dollar liquidity, the correlation of Nasdaq growth stocks, and whether the on-chain AI narrative can move from slogans to verifiable demand—rather than directly equating a single company’s IPO prospects with market-direction signals. Going forward, attention should be paid to disclosures in public filings, the underwriting syndicate and credit arrangements being finalized, and changes to the timeline of peer companies’ listings, to distinguish between expected trades and actual progress.
#Anthropic据报IPO或超SpaceX纪录 #BTC #ETH #BNB
AI company Anthropic is accelerating its push toward an initial public offering (IPO). According to media reports citing people familiar with the matter, the company expects its IPO fundraising to match or even surpass the historical scale set by SpaceX. SpaceX’s initial fundraising totaled about $75 billion; after including the over-allotment option, it reached roughly $86.2 billion, which is seen as one of the largest IPOs in history. The discussions are still ongoing, and there are variables such as the final size. At this stage, it remains in the preparation and expectation phase rather than a priced, finalized outcome.
On key facts, Anthropic plans to publicly file listing documents as early as the end of this month and has already submitted confidential materials. It is working with underwriting teams at Morgan Stanley, Goldman Sachs, and JPMorgan Chase, among other banks, to advance underwriting arrangements. In May of this year, the company completed about $65 billion in financing at a valuation of roughly $96.5 billion, exceeding OpenAI’s then-valuation of around $85.2 billion. On governance, the company is considering introducing a super-voting rights structure to strengthen post-IPO decision-making control for CEO Dario Amodei and the founding team. There are also reports that prior to the IPO it plans to finalize a revolving credit facility with a size higher than a prior target of about $10 billion. Performance shows high growth alongside heavy investment: preliminary second-quarter revenue exceeded $11.5 billion, jumping sharply from about $787 million in the same period last year. By the end of July, the annualized revenue run rate was around $65 billion. The adjusted operating profit for the second quarter is said to have turned positive, but the company is expected to record net losses of about $42 billion in 2025, expanding to nearly five times last year’s roughly $8.3 billion. The company also reached a compute-related agreement with SpaceX; over the next three years, the potential value could reach several tens of billions of dollars. Market participants believe that if it successfully goes public and breaks through existing fundraising thresholds, the size of the U.S. IPO market in 2026 could stand out even more. Its timing is also expected to be earlier than the target window, pointing to around 2027 for OpenAI.
From a logic standpoint, whether an ultra-large IPO can truly materialize depends less on “narrative heat” and more on whether the deal can be simultaneously accepted by the public market in three areas: first, whether revenue surges can sustainably cover capital expenditures on compute for training and inference; second, whether cash flow and financing structures during the high-loss phase are transparent, and thus can be priced; and third, whether arrangements such as super-voting rights can achieve a balance between liquidity and founder control. Its compute partnership with SpaceX links commercial spaceflight capacity, data centers, and spending for training cutting-edge models into a longer, capital-intensive chain—highlighting that the AI race is still fundamentally a competition for compute, energy, and balance sheets. It is important to separate facts from speculation: what has been disclosed includes the financing valuation, revenue and loss magnitudes, underwriting and governance directions, and the progress of confidential submissions. Claims such as “fundraising exceeds SpaceX’s record” or “rewriting the annual IPO ranking” still depend on the final offering size, market absorption capacity, and the pricing window, and therefore fall under forward-looking judgment.
Impact on the crypto market is mostly an indirect path via risk appetite and thematic mapping, rather than a direct mapping of fundamentals. A cluster of large AI companies moving toward public markets may reshape valuation anchors for global growth assets and influence the timing of capital flows between primary and secondary markets. If a “monster” issuer’s offering temporarily diverts risk budgets, it could suppress short-term risk appetite for highly volatile instruments, including crypto assets. If AI capital expenditures are interpreted as long-term productivity gains, optimism could propagate along two lines—liquidity expectations and correlations with technology stocks—into higher-beta assets. Meanwhile, constraints on compute, data centers, and energy may strengthen the “AI infrastructure” narrative and indirectly lift discussion momentum around compute-related applications, on-chain agents, and infrastructure themes. However, such mapping is mostly about sentiment and theme rotation, lacking a rigid cash-flow connection to any single token. Therefore, IPO rumor lines cannot be linearly extrapolated into market signals.
Editor’s take: The current main information thread comes from people familiar with the matter and media reports. The formal S-1 terms, the final fundraising range, equity-structure details, and the listing timing could still change. High revenue growth and expanding losses coexist, suggesting that accelerating commercialization has not removed the cost constraints of model iteration. For practitioners in crypto, what may be more worth tracking is how the AI capital expenditure cycle affects expectations for U.S. dollar liquidity, the correlation of Nasdaq growth stocks, and whether the on-chain AI narrative can move from slogans to verifiable demand—rather than directly equating a single company’s IPO prospects with market-direction signals. Going forward, attention should be paid to disclosures in public filings, the underwriting syndicate and credit arrangements being finalized, and changes to the timeline of peer companies’ listings, to distinguish between expected trades and actual progress.
#Anthropic据报IPO或超SpaceX纪录 #BTC #ETH #BNB
