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undefined | OpenAI will allocate IPO shares to retail investors as it preps for debut, CFO says

OpenAI’s chief financial officer, Sarah Friar, told CNBC that the artificial‑intelligence giant will reserve a portion of its shares for individual retail investors when it eventually lists on a public exchange. Friar said carving out a “slice” for non‑institutional buyers is “good hygiene” for a company valued at roughly $852 billion, helping to build trust and ensuring that the benefits of AI are not limited to a small elite of investors. She linked the approach to past examples such as Square’s direct‑selling program at its IPO and Elon Musk’s plan to allocate nearly 30 % of Tesla and SpaceX shares to retail buyers, arguing that a consumer‑facing brand like ChatGPT deserves broad public ownership.

The company has already demonstrated strong demand from retail participants in its latest private‑placement round. OpenAI tested the market with a $1 billion retail‑investor offering through banks such as JPMorgan, Morgan Stanley and Goldman Sachs, ultimately raising three times that amount—its largest private placement ever. While Friar declined to give a specific IPO timeline, she noted that staying private indefinitely “doesn’t make any sense” at OpenAI’s scale; going public would also give the firm access to convertible and investment‑grade debt to fund its massive compute needs, including a planned $600 billion spend on semiconductors and data‑center capacity over the next five years.

Enterprise sales now account for about 40 % of OpenAI’s revenue and are on track to match consumer revenue by the end of 2026, according to chief revenue officer Denise Dresser, a former Slack CEO. The enterprise push is driving rapid adoption of tools like Codex, which has surpassed three million users, and is positioning OpenAI to compete with rivals such as Anthropic. Friar emphasized that compute is “the big competitive weapon” and that expanding retail ownership will help the company tap larger markets while maintaining the trust essential for the widespread deployment of AI technologies.