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  1. Huxiu

    Anthropic's third-quarter revenue was $16.8 billion, and OpenAI's annualized revenue was nearly $50 billion, both falling short of market expectations

    Anthropic disclosed to IPO investors third-quarter revenue of $16.8 billion, up 46% quarter-over-quarter, a marked slowdown from the over 100% growth in the first half; SemiAnalysis estimates its annualized revenue at about $74 billion. OpenAI's annualized revenue as of the end of September was close to $50 billion, about $20 billion less than the market expectation of $70 billion, with the gap mainly stemming from differences in revenue recognition methods. After the news was announced, chip stocks such as Nvidia, AMD, and Broadcom fell; on October 14, the A-share STAR 50 Index dropped 3.29%, and the market began to reassess the revenue growth and capital expenditure sustainability of the AI industry chain.

    Anthropic disclosed to IPO investors third-quarter revenue of $16.8 billion, up 46% quarter-over-quarter, a marked slowdown from the over 100% growth in the first half; SemiAnalysis estimates its annualized revenue at about $74 billion. OpenAI's annualized revenue as of the end of September was close to $50 billion, about $20 billion less than the market expectation of $70 billion, with the gap mainly stemming from differences in revenue recognition methods. After the news was announced, chip st

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  1. Huxiu

    $1.65 Trillion in Off-Balance-Sheet Commitments and a 166-Fold Token Price Gap: Three Endgame Scenarios for the AI Capital Game

    The author reviewed the financial reports of the five major U.S. tech giants and found that more than 85% of Alphabet's and Amazon's quarterly profits come from unrealized gains on equity investments; their combined off-balance-sheet long-term purchase and lease commitments total approximately $1.65 trillion, already exceeding on-balance-sheet liabilities. Capital expenditure by the five giants is projected at $769.2 billion in 2026, while annual AI application revenue is about $200 billion, leaving a gap of roughly 5 times. After comparing China-U.S. pricing, the author notes that OpenAI charges $30 per million output Tokens while DeepSeek charges only $0.18, a price gap of 166 times, and concludes that the most likely endgame is that one node runs into trouble first and the problem then propagates through the chain of cross-shareholdings.

    The author reviewed the financial reports of the five major U.S. tech giants and found that more than 85% of Alphabet's and Amazon's quarterly profits come from unrealized gains on equity investments; their combined off-balance-sheet long-term purchase and lease commitments total approximately $1.65 trillion, already exceeding on-balance-sheet liabilities. Capital expenditure by the five giants is projected at $769.2 billion in 2026, while annual AI application revenue is about $200 billion, lea

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