Artificial Intelligence Company Openai is reportedly preparing an initial public offering (IPO) for late 2026, which could see the world’s largest startup reach a trillion-dollar valuation.
The AI company is reportedly preparing to launch its IPO at a $1 trillion valuation, which will include a $60 billion capital raise, according With three anonymous sources familiar with the matter, Reuters reported on Thursday.
The filing could reach US securities regulators in the second half of 2026, putting OpenAi on track to debut on the public markets ahead of its previously announced 2027 target.
However, a spokesperson for OpenAi told Reuters that no date has been set for the IPO, as the company’s main focus remains the development of artificial general intelligence (AGI). “We are building a strong business and advancing our mission so that everyone benefits from AGI,” they said.
The size of the potential offers signals growing institutional interest in AI development, especially for OpenAI, which became the world’s largest startup after reaching a $500 billion valuation in a secondary sale of shares on October 2.
During the share sales, OpenAI employees sold a combined $6.6 billion in stock to large corporate investors. The round saw OpenAi’s $500 billion valuation surpass Elon Musk’s SpaceX startup, which has a $400 billion valuation.
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Chinese AI rivals outperform chatgpt in crypto trading
Despite its growing budget, OpenAi’s flagship ChatGPT has recently outperformed in one niche: autonomous crypto trading.
During an autonomous crypto trading competition, Chinese AI Chatbots Deepseek And Qwen3 Max can easily overtake Chatgpt and Grok in crypto trading.
Deepseek was the only AI model to generate a positive trading return of nearly 9% through October 22, while Chatgpt-5 slipped to last place after a 66% loss.
The results came as a surprise, considering that Deepseek was developed at a total training cost of $5.3 million, a fraction of OpenAi’s $5.7 billion spending on research and development initiatives in the first half of 2025 alone.
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However, the right signals and improved training data can improve the trading performance of some of these AI models, especially for Google’s ChatGPT and Gemini, according to Nicolai Sondergaard, research analyst at Crypto Intelligence Platform Nansen.
“Assuming that all models receive the same signals and instructions for trading, it can be assumed that the difference lies in the data each model is trained on,” he told Cointelegraph.
https://www.youtube.com/watch?v=fykm3ka_lzu
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