DeepSeek's engagement of CITIC Securities in September 2026 for pre-listing tutoring on Shanghai's STAR Market marks the clearest step yet toward a domestic IPO, with internal targets pointing to a filing by year-end 2026 and potential listing in 2027. The Hangzhou-based AI lab closed a record $7.4 billion external round in June at over $50 billion valuation and is now advancing a follow-on raise targeting around $75 billion, driven by heavy spending on compute infrastructure, talent retention, and in-house chips to compete with domestic rivals and U.S. labs. These moves reflect broader capital needs for frontier large language model development amid rapid user adoption and regulatory realities for Chinese AI firms.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于$31,772 交易量
2026年12月31日
2%
2027年3月31日
22%
2027年6月30日
52%
2027年9月30日
80%
2027年12月31日
91%
$31,772 交易量
2026年12月31日
2%
2027年3月31日
22%
2027年6月30日
52%
2027年9月30日
80%
2027年12月31日
91%
The IPO refers to the first sale of stock by the listed company to the public on any recognized stock exchange.
If Deepseek is acquired by another company that is already public, this market will immediately resolve to "No."
The resolution source for this market is a consensus of credible reporting.
市场开放时间: Jul 14, 2026, 8:01 PM ET
The IPO refers to the first sale of stock by the listed company to the public on any recognized stock exchange.
If Deepseek is acquired by another company that is already public, this market will immediately resolve to "No."
The resolution source for this market is a consensus of credible reporting.
DeepSeek's engagement of CITIC Securities in September 2026 for pre-listing tutoring on Shanghai's STAR Market marks the clearest step yet toward a domestic IPO, with internal targets pointing to a filing by year-end 2026 and potential listing in 2027. The Hangzhou-based AI lab closed a record $7.4 billion external round in June at over $50 billion valuation and is now advancing a follow-on raise targeting around $75 billion, driven by heavy spending on compute infrastructure, talent retention, and in-house chips to compete with domestic rivals and U.S. labs. These moves reflect broader capital needs for frontier large language model development amid rapid user adoption and regulatory realities for Chinese AI firms.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于



警惕外部链接哦。
警惕外部链接哦。
常见问题