SoftBank Approves $22.5 Billion Investment to Complete OpenAI Funding Round
SoftBank Group Corp. has approved a $22.5 billion installment to complete its planned $30 billion investment in OpenAI, according to The Information. The funding depends on OpenAI finishing a corporate restructuring that would allow it to operate as a public benefit corporation and eventually pursue an initial public offering.
The new installment forms part of a $41 billion financing round led by SoftBank. The round values OpenAI at $260 billion before the financing. SoftBank previously invested $7.5 billion in the first phase of this round, while other investors such as Dragoneer Investment Management and Thrive Capital contributed an additional $11 billion.
OpenAI expects the capital to help cover its growing compute costs, projected at $16 billion this year and $40 billion next year. The company has also set aside up to $100 billion through 2030 to fund research and infrastructure. At the end of last year, OpenAI held $7.6 billion in cash and forecasted losses exceeding $8 billion for 2025.
The restructuring requires approvals from Microsoft, OpenAI’s largest commercial partner, and from regulators in Delaware and California. Once complete, it will convert existing profit rights into traditional shares and maintain the nonprofit’s control over the for-profit unit, with an equity stake valued at around $100 billion.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Oct 16 Some investors value Anthropic at $1.5 trillion ahead of IPO Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 KBRA Rated Anthropic BB+ Before $35 Billion Chip Financing Oct 16 Goodweek Raises $12 Million for AI Management Platform Oct 16 Intuit Agrees to Acquire AI Billing Startup Sequence for Reported $200 MillionAI Funding Brief
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
SoftBank Launches $10 Billion and €1 Billion in Bonds for OpenAI Investment
OpenAI Puts September Annualized Revenue at Nearly $50 Billion
Rising rates strain AI data center fundraising
OpenAI Annualized Recurring Revenue Nears $70 Billion
OpenAI London Staff Compensation Averaged £2.3 Million in 2025
Daily AI Brief: the AI news that matters, in your inbox.