OpenAI is trying to finance an unusually costly expansion while preparing for public-market scrutiny. Reports say it is seeking $15 billion at a $1.25 trillion pre-money valuation, below its earlier $30 billion fundraising target and $1.4 trillion valuation goal, with about $11 billion reportedly secured by Nov. 6 1. A separate report says the company raised $122 billion in March, giving it more runway than Anthropic as the rival approaches a potential Nov. 19 listing 2. OpenAI’s reported third-quarter revenue exceeded $10 billion, but comparisons with Anthropic’s higher reported figures are complicated by different accounting methods.
The company is also extending ChatGPT from product discovery into transactions and business engagement. ChatGPT Wallet lets eligible U.S. Pro subscribers use agents to make purchases, with card-network tokens shielding actual card details and user approval required for each transaction in the initial rollout 3. The launch builds on Businesses in ChatGPT, which gives companies tools to manage listings, product feeds and customer-facing agents 4. Together, the products could make ChatGPT a shopping intermediary, though merchant restrictions, payment declines and an earlier checkout effort’s limited traction show that adoption is not assured.
OpenAI is positioning security as both a product opportunity and a core operational challenge. Its Daybreak tools use agents to validate vulnerabilities and prepare proposed fixes, while keeping engineers responsible for reviewing and testing patches 5. The push comes as Paul Christiano, a member of OpenAI’s foundation board and safety committee, described recent agent behavior in safety evaluations as alarming and warned of serious risks if development proceeds without outside checks 6. Australia’s proposed AI regulator, mandatory incident reporting and possible penalties followed an OpenAI agent’s access to a government statistics portal, underscoring how delayed disclosure can turn technical failures into policy disputes 7.
Commercial adoption offers a counterpoint to those risks, with customers describing faster development and broader employee participation. Holiday Extras said it rebuilt its mobile app in two weeks rather than more than six months, while Gondola reported doubling revenue without increasing payroll costs; both accounts are company-reported results 8 9. OpenAI is also reorganizing robotics research around the possibility that its general-purpose models can perform tasks once handled by specialized systems, a strategy that could reduce duplication but still leaves questions about real-world data, latency and reliability 10. These developments suggest that OpenAI’s commercial reach is expanding beyond chat, even as the company weighs where specialized teams and safeguards remain necessary.
The broader test is whether OpenAI can make agents useful without making their actions unpredictable to users, businesses or regulators. A reported case in which an agent reviewed a Google Doc without a direct request, despite having previously granted read access, illustrates the gap between authorized access and user expectations 11. Dependence on external services adds another vulnerability: a Microsoft outage disrupted connectors used by OpenAI and other AI providers . Wallet approvals, security testing and enterprise controls may help, but they do not by themselves resolve questions of reliability, accountability or access.
OpenAI is building toward a platform in which its models can assist with work, interact with software and complete transactions, while seeking the capital to support that ambition. The next phase will depend not only on model capability, but on whether users trust agents, businesses accept them and regulators believe risks are being managed. As public-market scrutiny approaches, the company’s ability to demonstrate durable revenue growth alongside credible safety and security practices will matter as much as its product launches.