openai

Market news indicates that OpenAI's annual revenue has exceeded $40 billion before the IPO.

OpenAI has appointed its second Chief Revenue Officer in less than a year, with Dali Rajic succeeding Dennis Dreiser. This move shows that the company is working to strengthen sales growth in preparation for a Wall Street listing.OpenAI President Greg Brockman stated that the revenue run rate in July increased by over 20% month-over-month, and the enterprise customer business grew by 32%.

According to Bloomberg, citing informed sources, Lightspeed Venture Partners is seeking to extend its holding period for OpenAI and four other assets through a secondary transaction of approximately $600 million, along with a new investment commitment to Anthropic.The transaction, codenamed "Project Mercury," involves Lightspeed's Select V and Opportunity II funds, as well as an independently managed account, transferring the related investments into a continuation fund while returning cash to existing investors.In addition to OpenAI, the assets to be transferred include security technology company Verkada, workforce management company Rippling, AI startup Reflection AI, and enterprise search platform Glean. Coller Capital is acting as the lead buyer for the continuation fund, while UBS serves as the transaction advisor. Lightspeed has invested in Anthropic multiple times, including its latest financing round, which valued Anthropic at $96.5 billion.

The AI content detection platform Pangram has released a trend analysis of market share changes for AI model providers over the past two years based on its text detection model's classification analysis of user-submitted content. The data shows that OpenAI's model market share has never fallen below 50%, maintaining its leading position; Anthropic's share has increased from 4.3% in 2024 to 14.9% in July 2026, reflecting the growing attention on Claude in the technology and science fields; Google's model market share has sharply dropped from an early 12% to 1.9%, marking the most significant decline.When compared with similar data from OpenRouter, the trend of Google's declining share is confirmed by both data sources. By subject area, OpenAI's model is more commonly used in daily life and the humanities, while Anthropic and Google's models have a higher share in programming technology and scientific fields, but the overall differences are not significant. Pangram notes that both data sources have their biases, but the consistency in trends indicates that Google is significantly losing market share in the consumer end of AI language models.

According to a report by Fortune, OpenAI Chief Financial Officer Sarah Friar stated that AI can help finance teams identify issues more quickly, optimize forecasts, and enhance decision support capabilities, but it cannot replace human judgment, accountability, and financial rigor.She pointed out that OpenAI is building an "AI-native" financial system, with goals including achieving "zero-day closing" and continuously updating forecasts, and suggested that companies restructure processes around decision-making to enhance efficiency while strengthening control and accountability mechanisms.

OpenAI announced the expansion of its cybersecurity defense program Daybreak and launched the GPT-5.6-Cyber model specifically for the cybersecurity field, aimed at helping authorized security researchers and defense teams enhance their vulnerability discovery, threat analysis, and security testing capabilities. As attackers increasingly leverage AI to launch faster and larger-scale cyberattacks, defenders need to gain advanced AI capabilities in advance.This Daybreak offers two types of access: Daybreak Blue is aimed at most defense teams, providing general models such as GPT-5.6 Sol for vulnerability discovery, secure code review, malware analysis, incident response, and patch validation; Daybreak Red is aimed at advanced security research, providing GPT-5.6-Cyber for authorized vulnerability research, vulnerability validation, and security testing. GPT-5.6-Cyber is trained on GPT-5.6 Sol and optimized for cybersecurity tasks, including discovering zero-day vulnerabilities and analyzing exploit chains. It has been used in actual vulnerability research and has identified high-risk vulnerabilities in software, including the Chrome V8 JavaScript engine. Additionally, OpenAI stated that GPT-5.6-Cyber has also helped discover high-risk vulnerabilities in various domains, including privilege escalation vulnerabilities in mobile operating systems, remote code execution vulnerabilities in databases, and hundreds of privilege escalation vulnerabilities in operating system kernels.OpenAI also emphasized that Daybreak Red will only be accessible to approved individuals and organizations, controlling access through measures such as authentication, account security, monitoring, usage restrictions, and legal disclaimers. The company stated that it will continue to strengthen security monitoring, access management, and model security testing to reduce the risk of advanced cybersecurity models being abused.

OpenAI has completed a transaction to help employees sell approximately $7 billion of company shares, preparing for a potential initial public offering (IPO) on Wall Street in the future.This tender offer did not seek participation from external investors but instead repurchased shares directly from current and former employees, resulting in a post-transaction valuation of $852 billion.

Bitcoin Red Team member @Rob1Ham stated that OpenAI has prevented him from continuing security analysis on the Bitcoin codebase, despite his responsible disclosure of real vulnerabilities present in it.Rob1Ham mentioned that he had previously completed the authentication and onboarding process related to OpenAI's cybersecurity capabilities, but is currently unable to continue investigating whether the remediation measures are sufficient or if other vulnerabilities still exist. He stated that he will resume Bitcoin security research using Chinese open-source AI models in the future. Rob1Ham said, "Black hat hackers will not attack these issues, white hat hackers will." He also stated, "For those who do not comply with the rules and engage in harmful behavior, intelligence is unrestricted, while those committed to reducing harm are excluded."

On August 6, OpenAI first released usage data of ChatGPT across various countries, showing significant differences in usage across different scenarios, ages, and regions. In work scenarios, users utilizing ChatGPT for execution tasks (writing, editing, analyzing, etc.) accounted for over 50%, more than twice that of non-work scenarios; non-work scenarios are still primarily focused on "information retrieval." By age group, the proportion of messages from users over 35 years old globally increased by 5 percentage points year-on-year, with France and the Czech Republic seeing increases of over 10 percentage points. Nearly three-quarters of European countries exceeded the global average increase, while some regions in Southeast Asia saw smaller increases.Regionally, Latin America, Africa, and Oceania are narrowing the gap with early adopters, with Peru, Uruguay, and Costa Rica showing the fastest rankings rise. Multimodal (such as image generation and analysis) is the fastest-growing use case, with its global share rising to 7.8%, exceeding 10% in countries like Brazil and Colombia. OpenAI stated that the relevant data has been made public through the OpenAI Signals platform, aimed at helping policymakers and researchers understand the usage trends of over 1 billion users.

Former OpenAI research engineer Justin Wang announced that he has joined the cryptocurrency venture capital firm Paradigm as a research partner. He will collaborate with the team under the leadership of Matt Huang and Alana Palmedo to continue cutting-edge research.Justin Wang previously participated in the EVMbench project at OpenAI and has used Paradigm's open-source tools. In the short term, he is focusing on areas related to AI model measurement and evaluation, recursive self-improvement, effective AI policy, as well as network and cryptographic capabilities.

According to TechCrunch, OpenAI is fighting back against Apple's lawsuit regarding the leak of trade secrets, stating that Apple itself has vulnerabilities in its information security management and employee departure processes, and cannot prove that the relevant information is protected trade secrets.Apple previously accused OpenAI of obtaining hardware-related secrets through former employees who left Apple and requested the court to expedite the evidence investigation. In the latest legal documents submitted, OpenAI stated that Apple allows employees to use personal iCloud accounts to handle work materials and did not promptly revoke access after employees left. OpenAI claimed that Apple did not specify the exact trade secrets that were allegedly stolen, but only referred generally to information such as product development processes, supply chains, and testing.OpenAI believes that Apple's lawsuit is more about restricting its development in the AI hardware field and denies that the company needs or uses Apple's trade secrets. The focus of the dispute between the two parties centers on employee mobility, intellectual property protection, and competition in the AI hardware sector.

According to The Information, OpenAI has acquired some patent assets from the AI chip startup Rain AI, after the two parties previously negotiated the acquisition but ultimately failed to complete the deal.Rain AI is a startup focused on the development of AI chips, founded about 8 years ago, with investors including OpenAI CEO Sam Altman. Reports indicate that due to the failure of the acquisition plan, Rain AI has nearly ceased operations recently, and most employees have left the company.This patent acquisition shows that although some companies personally invested in by Altman may have commercial collaborations with OpenAI, this does not mean that all invested enterprises will receive direct support from OpenAI.Rain AI was previously dedicated to developing specialized chips for artificial intelligence computing, hoping to reduce the operating costs of AI models through customized hardware and enhance edge computing capabilities. As competition in AI infrastructure intensifies, chips, computing power, and energy have become core strategic resources for large AI companies.Industry insiders believe that OpenAI's acquisition of Rain AI's related patents may be aimed at absorbing its technological assets and strengthening its layout in the field of AI hardware and computing infrastructure.

According to Jinshi reports, SoftBank Group signed a loan agreement worth $10 billion in August 2026, using OpenAI shares as collateral.

According to Jinshi reports, OpenAI stated that the AI models involved in the attack on the artificial intelligence open-source community and model hosting platform "Hugging Face" began communicating through undiscovered information exchange channels as early as May, collaborating in an attempt to break through the testing environment.Researchers added more details regarding the hacking incident at Hugging Face, highlighting global concerns that cutting-edge AI systems could be used to launch destructive cyberattacks.

According to Ed Zitron's citation of Microsoft's latest financial report and Bloomberg analysis, OpenAI contributed $24.1 billion in revenue to Microsoft for the fiscal year ending June 2026, accounting for more than 70% of Microsoft's AI business revenue for that fiscal year, and approximately 7.26% of Microsoft's total revenue of $331.8 billion for FY26. Bloomberg estimates OpenAI's contribution to be around 70%, based on Microsoft's previously disclosed 123% annual growth rate in AI business and an annualized AI revenue scale of about $34 billion.The report points out that Microsoft has accumulated approximately $261.3 billion in capital expenditures since early 2022, with analysts believing that a significant portion of this expenditure serves a single client, OpenAI. Ed Zitron commented that Microsoft "has invested in AI for nearly four years, and aside from a company that requires infinite resources to maintain its computing bill, there is almost nothing to show for it." Previously, in a report on August 4, Ed Zitron cited analysts estimating that OpenAI and Anthropic together account for more than 70% of the AI revenue of the three major cloud providers: Microsoft, Google, and Amazon. Microsoft also disclosed in its financial report that as of June 30, accounts receivable from OpenAI amounted to $6 billion.

According to data from the multi-model aggregation platform OpenRouter, from July 27 to August 2, DeepSeek V4 Flash topped the global AI large model usage ranking with a call volume of 7.22 trillion tokens. Data from the open-source platform OpenCode shows that this model alone processed 8 trillion tokens on August 1. Four out of the top five positions are occupied by Chinese large models: Xiaomi's MiMo-V2.5 (5.1 trillion), Tencent's Hunyuan Hy3 (5.01 trillion), and another DeepSeek V4 Flash model (3.45 trillion) ranked second to fourth, while OpenAI GPT-5.6 Luna (2.99 trillion, a month-on-month increase of 738%) ranked fifth.The total call volume of Chinese large models last week reached 28.13 trillion tokens, surpassing the United States for 14 consecutive weeks, firmly holding the top position globally. The previously highly anticipated Kimi K3 fell out of the top ten this week, ranking 12th. It is noteworthy that free models are capturing an increasing share of traffic, with some models experiencing month-on-month growth exceeding 50%. Analysis indicates that domestic models have shifted from price competition to relying on inference performance and stable service capabilities, but companies like OpenAI and Anthropic continue to iterate, accelerating the internal competition and the pace of product iteration will determine user retention capabilities.

According to technology analyst Ed Zitron, citing estimates from institutions such as Barclays, UBS, and Wells Fargo, Microsoft, Google, and Amazon, the three major cloud providers, may see over 70% of their AI revenue coming from OpenAI and Anthropic. Specifically, Barclays analyst Ross Sandler estimates that about 73% of Amazon AWS's AI revenue in 2026 will come from these two companies; UBS analyst Stephen Ju estimates that approximately 28% of Google Cloud's revenue in 2026 and over 48% in 2027 will come from them; Wells Fargo estimates that about 23% of Microsoft Azure's revenue in FY2026 and about 35% in FY2027 will come from these two AI labs.The analysis indicates that AWS's AI revenue in 2026, excluding OpenAI/Anthropic, is expected to be only about 8.5 billion dollars, while Amazon's capital expenditure for that year is expected to reach 220 billion dollars. Google's Vertex AI platform revenue in 2026 is expected to be about 28.3 billion dollars, but during the same period, the computing power expenditure for OpenAI and Anthropic is expected to exceed 35.6 billion dollars. Microsoft's AI revenue in FY2026 is about 34.5 billion dollars, with capital expenditure during the same period of about 115.9 billion dollars. This analysis has raised market concerns about the overbuilding of AI data centers and the sustainability of demand, questioning whether the three major cloud providers should disclose customer revenue concentration risks more transparently. Currently, Microsoft, Google, and Amazon have not publicly responded to this.

According to Bloomberg, the UK government's AI Safety Research Institute (established in 2023) disclosed on Tuesday that during a safety assessment of OpenAI's GPT-5.6-Sol and Anthropic's Mythos 5 models, both models exhibited "unauthorized" harmful behaviors, including actively infiltrating real websites and attempting to inject malicious code into software, targeting real people and organizations.During the testing period, the institute deliberately granted the models internet access and disabled some security filters to assess their limits.

According to The New York Times, OpenAI founders and employees collectively hold 48.93% of the company's shares, which is currently valued at $852 billion.