OpenAI Secures $122 Billion Funding at $852 Billion Valuation, Plans to Go Public This Year

marsbitPublished on 2026-04-01Last updated on 2026-04-01

Abstract

OpenAI has secured $122 billion in new funding, raising its valuation to $852 billion. This round, led by investors including SoftBank, Andreessen Horowitz, and others with participation from Amazon, NVIDIA, and Microsoft, marks the company's largest financing effort to date. The funds will support AI chip research, data center expansion, and talent acquisition ahead of a planned IPO this year. The company has also increased its revolving credit line to $47 billion. OpenAI currently generates $2 billion in monthly revenue, with weekly active users surpassing 900 million and over 50 million subscribers. Its search usage has tripled year-over-year. On the business front, advertising pilot programs have already contributed over $100 million in annual recurring revenue, with enterprise revenue now accounting for 40% of total income. Driven by the latest GPT-5.4 model, the company expects enterprise revenue to match consumer revenue by the end of 2026. OpenAI is focused on developing an AI "super app" to serve as a central interaction platform, signaling a strategic shift from pure R&D toward building a public market narrative.

OpenAI recently announced the completion of a new funding round totaling $122 billion, soaring the company's valuation to $852 billion. As the company's largest funding initiative to date, this move not only significantly expands its financial reserves for AI chip development, data center construction, and talent acquisition but is also seen as a key precursor to its IPO push this year.

This round of funding was led by SoftBank, Andreessen Horowitz, DE Shaw Ventures, MGX, TPG, and T. Rowe Price Associates, with participation from tech giants such as Amazon, NVIDIA, and Microsoft. Additionally, approximately $3 billion came from individual investors, and the inclusion of several ETFs under ARK Invest further expanded its shareholder base before the listing.

While strengthening its capital structure, OpenAI expanded its revolving credit line to $4.7 billion, with support from several top global banks. Although the credit line has not been utilized yet, combined with its S-1-style funding announcement, it demonstrates the company's financial flexibility amid soaring computational infrastructure costs. Performance data shows that OpenAI's monthly revenue has reached $2 billion, with revenue growth far exceeding that of early-stage Alphabet and Meta. Currently, its weekly active users have surpassed 900 million, with over 50 million subscription users, and search usage has tripled year-over-year.

In terms of business structure, OpenAI's advertising pilot project contributed over $100 million in annual recurring revenue within six weeks, with B2B revenue now accounting for 40% of total revenue. Driven by the latest model GPT-5.4 for agent workflows, the company expects B2B revenue to match consumer revenue by the end of 2026. OpenAI is committed to building an "AI super app" to dominate the core interaction interface. The completion of this funding round marks OpenAI's transition from pure technology R&D to comprehensively building a public market narrative, with its operational logic smoothly shifting from early expansion to stable IPO expectations.

King of Death Spiral Financing: Riding the Bitcoin Wave to the Top of Japan's Capital Market

Michael Lerch, a controversial American investor and head of Evolution Financial Group, has become the dominant force in Japan's "death spiral" financing market. His fund, Evo, is the largest buyer of floating-strike equity warrants, a financing tool for distressed small-cap companies that provides quick cash but causes significant shareholder dilution. In 2025, Evo's transactions, which accounted for over 80% of the market, exceeded ¥1 trillion ($63 billion), driven largely by a massive deal with Metaplanet. The hotel operator used the funds to purchase over $2 billion in Bitcoin, causing its stock to skyrocket before crashing 80%. While some CEOs credit Lerch with saving their companies, others accuse his aggressive tactics of damaging shareholder value and corporate reputations. Based in Nevada, Lerch built his empire through arbitrage and a vast network, but his methods have drawn regulatory scrutiny and legal challenges, including a London court ruling against his firm in a dispute with a former employee. The rise of Evo highlights the dilemma for Japan's many small listed companies that rely on such high-cost financing to survive.

marsbit13m ago

King of Death Spiral Financing: Riding the Bitcoin Wave to the Top of Japan's Capital Market

marsbit13m ago

Google Is Really Anxious, Launches Deep Research Agent Late at Night with MCP Support and Native Charts

Google has launched two new AI research agents, Deep Research and Deep Research Max, built on the Gemini 3.1 Pro model. These agents are designed for enterprise and developer use, accessible via API, and support integration of open web data with private enterprise information through a single API call. They also feature native chart and infographic generation within reports and support the Model Context Protocol (MCP) to connect with third-party data sources securely. Deep Research is optimized for speed and lower latency, while Deep Research Max prioritizes depth and extended reasoning, making it suitable for asynchronous workflows like overnight analysis tasks. The agents are not available to general Gemini app users, including Pro subscribers, and are currently offered as a paid preview through the Interactions API. The update aims to position Google competitively against rivals like OpenAI and Anthropic in the AI research and analysis tool space, particularly targeting high-value sectors such as finance and consulting. Enhanced capabilities include multi-modal input support, collaborative planning features, and improved performance on benchmarks, though comparative data with competitors should be interpreted cautiously due to potential methodological differences.

marsbit14m ago

Google Is Really Anxious, Launches Deep Research Agent Late at Night with MCP Support and Native Charts

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Booking.com Founder Jeff Hoffman: How Web3 and AI Are Reshaping the Trillion-Dollar Social Travel Market

Booking.com co-founder Jeff Hoffman discusses how Web3 and AI are set to reshape the multitrillion-dollar social travel market. Hoffman, who co-founded Priceline and helped build Booking.com into a global giant, emphasizes that the current travel industry remains fragmented and inefficient. He argues that Web3 introduces structural disruption by enabling direct connections, transparent economics, and faster settlements, while AI powers personalization and smarter recommendations. Hoffman highlights key trends driving this shift: travelers demand flexible, authentic rewards instead of expiring points; digital and borderless payments are becoming standard; and people trust communities more than ads. He joined Staynex not for its Web3 label but because it aligns with these trends—integrating booking, rewards, AI, and payments into a seamless ecosystem. Looking ahead, Hoffman predicts travel will evolve from transactional to relational, with blockchain enabling transparent rewards and cross-border payments, and AI delivering hyper-personalized experiences. He believes the most valuable platforms will own the network around payments, loyalty, and community, making social travel one of the most underestimated opportunities in Web3.

marsbit49m ago

Booking.com Founder Jeff Hoffman: How Web3 and AI Are Reshaping the Trillion-Dollar Social Travel Market

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Is It Illegal for Crypto KOLs to Run Paid Communities and Sell Courses?

Summary: This article, authored by lawyer Shao Shiwei, addresses the legal risks faced by crypto Key Opinion Leaders (KOLs) who offer paid communities and courses related to cryptocurrency trading. The author explains that while there is no direct licensing system for such activities in China, authorities still reference virtual currency policies in enforcement. KOL activities are categorized into three risk levels: 1. Low-risk: Historical trend analysis and basic education without real-time guidance. 2. Medium-risk: Providing daily market analysis and ambiguous suggestions (e.g., "this position is worth watching"). 3. High-risk: Explicit trading signals, specific buy/sell points, or profit-sharing arrangements. Key legal risks include civil liability (e.g., user lawsuits over losses) and criminal charges (e.g., fraud accusations if users suffer losses). Even disclaimers like "not investment advice" may not protect KOLs, as courts focus on the实质 (substance) of the content. The article emphasizes that risk depends on whether content is perceived as operational guidance, its influence on user decisions, and payment structures. KOLs are advised to assess their specific business models carefully.

marsbit1h ago

Is It Illegal for Crypto KOLs to Run Paid Communities and Sell Courses?

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Cook's Curtain Call and Ternus Takes the Helm: The Disruption and Reboot of Apple's 4 Trillion Dollar Empire

Tim Cook has officially announced he will step down as CEO of Apple in September, transitioning to executive chairman after a 15-year tenure during which he grew the company’s market value from around $350 billion to nearly $4 trillion. He will be succeeded by John Ternus, a 50-year-old hardware engineering veteran who has been groomed for the role through increasing public visibility and internal responsibility. Ternus’s appointment signals a strategic shift toward hardware and engineering leadership, with Johny Srouji—head of Apple Silicon—taking on an expanded role as Chief Hardware Officer. This consolidation aims to strengthen Apple’s core technological capabilities. However, Cook’s departure highlights a significant unresolved issue: Apple’s delayed and fragmented approach to artificial intelligence. Despite early efforts, such as hiring John Giannandrea from Google in 2018, Apple’s AI initiatives—particularly around Siri—have struggled with internal restructuring and reliance on external partnerships, including with Google. The transition comes at a critical moment as Apple faces paradigm shifts with the rise of artificial general intelligence (ASI). The company’s closed ecosystem of hardware, software, and services—once a major advantage—now presents challenges in adapting to an AI-centric world where intelligence may matter more than the device itself. Ternus must quickly articulate a clear AI strategy, possibly starting at WWDC, to reassure markets and redefine Apple’s role in a new technological era. His task is not only to maintain Apple’s operational excellence but also to reinvigorate its capacity to innovate and lead in the age of AI.

marsbit2h ago

Cook's Curtain Call and Ternus Takes the Helm: The Disruption and Reboot of Apple's 4 Trillion Dollar Empire

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