OpenAI is preparing to confidentially file for an initial public offering (IPO) in the coming weeks, according to reports from The New York Times. The move could lead to one of the largest public offerings in the history of the artificial intelligence industry.
The company behind ChatGPT is reportedly working with Goldman Sachs and Morgan Stanley on preparations for the filing. Sources told The New York Times that an IPO could occur as early as September, although the timing remains uncertain and dependent on market conditions.
OpenAI has emerged as one of the most influential companies in the global AI sector since launching ChatGPT in late 2022. The San Francisco-based company was valued at approximately $730 billion following a funding round earlier this year.
The expected IPO was born out of the growing interest of investors in artificial intelligence companies and preparations by several major technology firms for potential public listings. Competitors including Anthropic and SpaceX are also reportedly considering public market plans.
Despite rapid revenue growth, OpenAI remains unprofitable. The company reportedly generated more than $13 billion in revenue last year but expects to spend around $115 billion over the next four years as competition intensifies.
OpenAI is also facing pressure from rivals including Google, whose Gemini AI platform reportedly reached 900 million active users, matching ChatGPT’s reported monthly user base.
The company recently overcame a major legal challenge after a California jury dismissed a lawsuit brought by Elon Musk, who accused OpenAI of abandoning its original nonprofit mission. Musk has said he plans to appeal the ruling.
According to experts, OpenAI’s public market ambitions could accelerate AI research, expand infrastructure, and strengthen global innovation in artificial intelligence technologies. OpenAI’s potential IPO could become a defining moment for the global AI industry and broader technology market.
However, fear arises that increasing commercialization may intensify concerns around AI safety, market concentration, data privacy, energy consumption, and corporate influence over emerging technologies.
