#OpenAI

OpenAI and Microsoft have revised their partnership. OpenAI gains flexibility to deploy its AI models on any cloud provider, while Microsoft secures a capped, predictable revenue stream until 2030. Microsoft retains its IP license but it’s no longer exclusive. This move diversifies OpenAI’s distribution and simplifies their strategic alignment amidst increasing AI industry competition.

Jury selection is underway in Oakland for the Elon Musk v. Sam Altman trial. Musk accuses OpenAI of betraying its nonprofit mission, seeking reversal of its restructuring. The jury will determine liability, with the judge making the final decision. The trial’s outcome holds significant implications for two tech giants valued collectively over $2 trillion.

Customers Bank CEO Sam Sidhu utilized an AI clone during an earnings call to highlight the bank’s significant embrace of artificial intelligence. The bank has partnered with OpenAI to embed engineers, aiming to automate lending and client onboarding. This strategy seeks to drastically reduce loan processing times, scale growth without increasing headcount, and improve efficiency ratios, demonstrating a tangible return on AI investment.

Qualcomm’s stock rose on reports of a partnership with OpenAI to develop advanced smartphone AI chips. The collaboration, also involving MediaTek and Luxshare, aims to create specialized hardware for OpenAI’s hardware ambitions. Analyst Ming-Chi Kuo anticipates mass production in 2028, highlighting smartphones’ crucial role in AI agent services and OpenAI’s potential to build a new AI ecosystem. This move follows OpenAI’s acquisition of Jony Ive’s startup, signaling a focus on novel AI-centric devices distinct from traditional smartphones.

Jury selection begins in the lawsuit filed by Elon Musk against OpenAI CEO Sam Altman. Musk alleges OpenAI reneged on its nonprofit founding promise. OpenAI, now a for-profit entity valued at over $850 billion, disputes the claims as baseless. The trial, overseen by Judge Yvonne Gonzalez Rogers, will determine liability and potential remedies. Key figures are expected to testify.

OpenAI has released GPT-5.5, an advanced AI model showcasing significant improvements in coding, computational tasks, and research. This rapid development cycle highlights intense competition in the AI sector. GPT-5.5 demonstrates enhanced autonomy in problem-solving and surpasses previous versions in data analysis and code generation. While classified as “High” risk due to its potential to amplify harm, OpenAI emphasizes rigorous security testing. The model is now available to paying subscribers and will soon be accessible via API with additional safeguards.

Robinhood Ventures Fund I has invested $75 million in AI company OpenAI, marking a significant move beyond traditional stock trading. This investment offers retail investors exposure to a leading AI firm and signals Robinhood’s strategic pivot into private markets. Despite past disagreements, this partnership highlights the growing retail investor demand for access to innovative private companies shaping the future.

OpenAI is experiencing significant leadership departures, including key figures from Sora and OpenAI for Science. These exits coincide with a reported strategic realignment and preparations for a potential IPO. The company aims to decentralize its “OpenAI for Science” initiative to enhance integration with product development, underscoring a period of transition as OpenAI navigates growth and market scrutiny.

Cerebras Systems has filed for an IPO on Nasdaq (CBRS), aiming to scale its AI chip operations. The company reported a significant profit in fiscal year 2025, a turnaround from the previous year. Cerebras has shifted to a “chip-as-a-service” model and secured a massive computing power deal with OpenAI, valued at over $10 billion with options for $20 billion. Despite fierce competition, Cerebras aims to differentiate with its Wafer Scale Engine architecture, promising higher speeds and lower costs for specific AI workloads.

OpenAI enhances enterprise AI with improved sandbox execution and a model-native harness. This allows governance teams to deploy automated workflows with reduced risk by providing standardized infrastructure and secure, isolated execution environments. This addresses challenges in moving AI from prototype to production, as demonstrated by Oscar Health’s successful automation of a clinical records workflow. The updates offer greater reliability, control, and cost efficiency for complex AI operations.