OpenAI remains a private company, so its “stock” isn’t publicly traded—shares are not available on stock exchanges and ownership is limited to private investors, employees, or through regulated secondary markets. Because of that, there is no official ticker and public share-price history is based on estimated valuations from private transactions.
Recent developments have pushed OpenAI’s valuation and investment profile even higher. One of the biggest news items is the partnership with Nvidia: the chip-maker plans to invest up to $100 billion in OpenAI, tied to deployment of at least 10 gigawatts of AI-data center infrastructure. As part of that collaboration, OpenAI will acquire massive amounts of computing power (millions of high-end GPUs) to scale its model training and service delivery.
OpenAI is also spending heavily on compute infrastructure more broadly. Over the next several years it is projected to spend roughly $100 billion on backup server capacity alone, renting from cloud-providers. That’s part of a larger infrastructure and compute strategy that sees OpenAI’s costs climbing substantially, driven by both model complexity and the demand for large, reliable AI compute.
On the revenue side, OpenAI is exploring new, compute-intensive features (some reserved for pro or paying subscribers) to push product capabilities forward, even as these come with high associated costs. The company aims to balance user growth, demand for advanced AI features, and the high operational costs of running, maintaining, and improving AI models.
For potential investors or stakeholders, the takeaway is that OpenAI is not a stock you can buy today via public markets. But its valuation is increasing fast, driven by massive investment, infrastructure scaling, and strong demand. The risk comes from the heavy cash burn tied to compute, regulatory scrutiny over safety and mission, and the challenge of making advanced features both sustainable and profitable.