OpenAI’s March 2026 $122 billion round established an $852 billion post-money valuation anchored by Amazon, Nvidia, and SoftBank, supported by rapid revenue growth to an estimated $24–40 billion annualized run rate from large language model APIs and ChatGPT. Secondary markets, however, imply valuations nearer $475–500 billion as of September 2026, reflecting concerns over sustained losses, intense competition from Anthropic, and conditional elements in recent funding. The company’s confidential June 2026 S-1 filing and reported preference for a 2027 IPO at or above $1 trillion create the current equilibrium, as traders weigh whether fresh model capabilities or enterprise adoption can close the gap before year-end versus delays that push resolution later.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於2026年OpenAI估值超過1萬$ ?
是
$26,947 交易量
$26,947 交易量
是
$26,947 交易量
$26,947 交易量
To qualify, the valuation must be explicitly confirmed by OpenAI or an overwhelming consensus of credible reporting.
The resolution source will be OpenAI’s official communications, however a consensus of credible reporting may also be used.
市場開放時間: Jan 29, 2026, 3:34 PM ET
To qualify, the valuation must be explicitly confirmed by OpenAI or an overwhelming consensus of credible reporting.
The resolution source will be OpenAI’s official communications, however a consensus of credible reporting may also be used.
OpenAI’s March 2026 $122 billion round established an $852 billion post-money valuation anchored by Amazon, Nvidia, and SoftBank, supported by rapid revenue growth to an estimated $24–40 billion annualized run rate from large language model APIs and ChatGPT. Secondary markets, however, imply valuations nearer $475–500 billion as of September 2026, reflecting concerns over sustained losses, intense competition from Anthropic, and conditional elements in recent funding. The company’s confidential June 2026 S-1 filing and reported preference for a 2027 IPO at or above $1 trillion create the current equilibrium, as traders weigh whether fresh model capabilities or enterprise adoption can close the gap before year-end versus delays that push resolution later.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於



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警惕外部連結哦。
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