On Friday, the board of OpenAI, the buzzy AI company behind viral chatbot ChatGPT, suddenly and publicly ousted its CEO Sam Altman. The announcement came one day after he appeared publicly on behalf of his company at Thursday’s APEC CEO Summit.
OpenAI’s board said it conducted “a deliberative review process” and that Altman “was not consistently candid in his communications with the board, hindering its ability to exercise its responsibilities.”
“The board no longer has confidence in his ability to continue leading OpenAI,” the board’s statement continued.
As of this week, OpenAI’s six-person board included OpenAI co-founder and President Greg Brockman, who was also chairman of the board; Ilya Sutskever, OpenAI’s chief scientist; Adam D’Angelo; Tasha McCauley; Helen Toner; and Altman himself. The company began publicly posting its board’s member list on its website in July, after the departures of LinkedIn founder Reid Hoffman, director of Neuralink Shivon Zilis and former Texas congressman Will Hurd.
Here’s a rundown of the board behind the controversial shake-up:
Greg Brockman: An OpenAI co-founder, Brockman quit his role at the company on Friday in protest of Altman’s ousting, saying publicly, “Sam and I are shocked and saddened by what the board did today.” Brockman spent five years as CTO of Stripe before moving on to help launch OpenAI. In 2020, Brockman said OpenAI’s top obstacle in its first five years was the idea that making the full extent of the startup’s work public wasn’t necessarily beneficial for humanity, in his eyes. At the time, he said, “We realized that as these things get powerful, they’re dual-use…and that we as technology developers have a responsibility to not just say, ‘Hey, we built this thing, it’s up to the world to decide how to use it.'”
Ilya Sutskever: As of now, Sutskever is the sole remaining OpenAI co-founder on the board. After co-founding DNNResearch — an AI startup focused on neural networks — and selling it to Google, Sutskever joined Google as a research scientist and stayed for nearly three years before moving on to OpenAI as a co-founder and research director. Since November 2018, he’s been the company’s chief scientist.
Adam D’Angelo: The current CEO of Quora, a social platform for questions and answers, D’Angelo spent nearly four years at Facebook and was CTO of the tech giant from 2006 to 2008. He is not an employee at OpenAI.
Tasha McCauley: McCauley, who is not an OpenAI employee, is on the board of directors of both OpenAI and GeoSim Systems, a geospatial tech company. She is an adjunct senior management scientist at Rand Corporation and has been on the OpenAI board since 2018.
Helen Toner: Toner is a board member and non-OpenAI employee who spent time at the University of Oxford’s Center for the Governance of AI, and has been a director of strategy for Georgetown’s Center for Security and Emerging Technology for nearly five years. Last year, Toner told the Journal of Political Risk that, “Building AI systems that are safe, reliable, fair, and interpretable is an enormous open problem… Organizations building and deploying AI will also have to recognize that beating their competitors to market— or to the battlefield — is to no avail if the systems they’re fielding are buggy, hackable, or unpredictable.”
Earlier this year, Microsoft’s expanded investment in OpenAI — an additional $10 billion — made it the biggest AI investment of the year, according to PitchBook. In April, the startup reportedly closed a $300 million share sale at a valuation between $27 billion and $29 billion, with investments from firms such as Sequoia Capital and Andreessen Horowitz. Despite its significant investment, however, Microsoft has no board seat at OpenAI.
“While our partnership with Microsoft includes a multibillion-dollar investment, OpenAI remains an entirely independent company governed by the OpenAI Nonprofit,” OpenAI has publicly stated. “Microsoft has no board seat and no control. And… AGI is explicitly carved out of all commercial and IP licensing agreements. These arrangements exemplify why we chose Microsoft as our compute and commercial partner.”
Microsoft had no new comments to add on Saturday and requests for comments from board members weren’t immediately returned to CNBC.
OpenAI’s product feature announcements earlier this month showed that one of the hottest companies in tech has been rapidly evolving its offerings in an effort to stay ahead of rivals like Anthropic, Google and Meta in the AI arms race.
ChatGPT, which broke records as the fastest-growing consumer app in history months after its launch, now has about 100 million weekly active users, OpenAI said this month. More than 92% of Fortune 500 companies use the platform, up from 80% in August, and they span across industries like financial services, legal applications and education, according to Mira Murati, OpenAI’s CTO-turned-interim CEO.
The news of Altman’s ousting comes after OpenAI’s Dev Day, the company’s first in-person event, on Nov. 6, which also included a surprise appearance by Microsoft CEO Satya Nadella.
“The systems that are needed as you aggressively push forward on your road map require us to be on the top of our game, and we intend fully to commit ourselves fully to making sure you all… have not only the best systems for training and inference, but also the most compute,” Nadella told Altman while onstage together at Dev Day. He added, “That’s the way we’re going to make progress.”
On that day, Altman told Nadella, “I think we have the best partnership in tech and I’m excited for us to build AGI together.”
As recently as last month, OpenAI was reportedly in talks to close a deal that would lead to an $80 billion valuation. When CNBC asked OpenAI COO Brad Lightcap about that deal, he declined to comment.
At OpenAI’s Dev Day, in response to a CNBC question about GPT-5, Altman said, “We want to do it, but we don’t have a timeline.”
Beta Technologies shares surged more than 9% after air taxi maker Eve Air Mobility announced an up to $1 billion deal to buy motors from the Vermont-based company.
Eve, which was started by Brazilian airplane maker Embraer and is now under Eve Holding, said the manufacturing deal could equal as much as $1 billion over 10 years. The Florida-based company said it has a backlog of 2,800 vehicles.
Shares of Eve Holding gained 14%.
Eve CEO Johann Bordais called the deal a “pivotal milestone” in the advancement of the company’s electric vertical takeoff and landing, or eVTOL, technology.
“Their electric motor technology will play a critical role in powering our aircraft during cruise, supporting the maturity of our propulsion architecture as we progress toward entry into service,” he said in a release.
Amazon’s cloud unit on Tuesday announced AI-enabled software designed to help clients better understand and recover from outages.
DevOps Agent, as the artificial intelligence tool from Amazon Web Services is called, predicts the cause of technical hiccups using input from third-party tools such as Datadog and Dynatrace. AWS said customers can sign up to use the tool Tuesday in a preview, before Amazon starts charging for the service.
The AI outage tool from AWS is intended to help companies more quickly figure out what caused an outage and implement fixes, Swami Sivasubramanian, vice president of agentic AI at AWS, told CNBC. It’s what site reliability engineers, or SREs, do at many companies that provide online services.
SREs try to prevent downtime and jump into action during live incidents. Startups such as Resolve and Traversal have started marketing AI assistants for these experts. Microsoft’s Azure cloud group introduced an SRE Agent in May.
Rather than waiting for on-call staff members to figure out what happened, the AWS DevOps Agent automatically assigns work to agents that look into different hypotheses, Sivasubramanian said.
“By the time the on-call ops team member dials in, they have an incident report with preliminary investigation of what could be the likely outcome, and then suggest what could be the remediation as well,” Sivasubramanian told CNBC ahead of AWS’ Reinvent conference in Las Vegas this week.
Commonwealth Bank of Australia has tested the AWS DevOps Agent. In under 15 minutes, the software found the root cause of an issue that would have taken a veteran engineer hours, AWS said in a statement.
The tool relies on Amazon’s in-house AI models and those from other providers, a spokesperson said.
AWS has been selling software in addition to raw infrastructure for many years. Amazon was early to start renting out server space and storage to developers since the mid-2000s, and technology companies such as Google, Microsoft and Oracle have followed.
Since the launch of ChatGPT in 2022, these cloud infrastructure providers have been trying to demonstrate how generative AI models, which are often training in large cloud computing data centers, can speed up work for software developers.
Over the summer, Amazon announced Kiro, a so-called vibe coding tool that produces and modifies source code based on user text prompts. In November, Google debuted similar software for individual software developers called Antigravity, and Microsoft sells subscriptions to GitHub Copilot.
Attendees pass an Amazon Web Services logo during AWS re:Invent 2024, a conference hosted by Amazon Web Services, at The Venetian hotel in Las Vegas on Dec. 3, 2024.
Noah Berger | Getty Images
Amazon has found a way to let cloud clients extensively customize generative AI models. The catch is that the system costs $100,000 per year.
The Nova Forge offering from Amazon Web Services gives organizations access to Amazon’s AI models in various stages of training so they can incorporate their own data earlier in the process.
Already, companies can fine-tune large language models after they’ve been trained. The results with Nova Forge will lean more heavily on the data that customers supply. Nova Forge customers will also have the option to refine open-weight models, but training data and computing infrastructure are not included.
Organizations that assemble their own models might end up spending hundreds of millions or billions of dollars, which means using Nova Forge is more affordable, Amazon said.
AWS released its own models under the Nova brand in 2024, but they aren’t the first choice for most software developers. A July survey from Menlo Ventures said that by the middle of this year, Amazon-backed Anthropic controlled 32% of the market for enterprise LLMs, followed by OpenAI with 25%, Google with 20% and Meta with 9% — Amazon Nova had a less than 5% share, a Menlo spokesperson said.
The Nova models are available through AWS’ Bedrock service for running models on Amazon cloud infrastructure, as are Anthropic’s Claude 4.5 models.
“We are a frontier lab that has focused on customers,” Rohit Prasad, Amazon head scientist for artificial general intelligence, told CNBC in an interview. “Our customers wanted it. We have invented on their behalf to make this happen.”
Nova Forge is also in use by internal Amazon customers, including teams that work on the company’s stores and the Alexa AI assistant, Prasad said.
Reddit needed an AI model for moderating content that would be sophisticated about the many subjects people discuss on the social network. Engineers found that a Nova model enhanced with Reddit data through Forge performed better than commercially available large-scale models, Prasad said. Booking.com, Nimbus Therapeutics, the Nomura Research Institute and Sony are also building models with Forge, Amazon said.
Organizations can request that Amazon engineers help them build their Forge models, but that assistance is not included in the new service’s $100,000 annual fee.
AWS is also introducing new models for developers at its Reinvent conference in Las Vegas this week.
Nova 2 Pro is a reasoning model whose tests show it performs at least as well as Anthropic’s Claude Sonnet 4.5, OpenAI’s GPT-5 and GPT-5.1, and Google’s Gemini 3.0 Pro Preview, Amazon said. Reasoning involves running a series of computations that might take extra time in response to requests to produce better answers. Nova 2 Pro will be available in early access to AWS customers with Forge subscriptions, Prasad said. That means Forge customers and Amazon engineers will be able to try Nova 2 Pro at the same time.
Nova 2 Omni is another reasoning model that can process incoming images, speech, text and videos, and it generates images and text. It’s the first reasoning model with that range of capability, Amazon said. Amazon hopes that, by delivering a multifaceted model, it can lower the cost and complexity of incorporating AI models into applications.
Tens of thousands of organizations are using Nova models each week, Prasad said. AWS has said it has millions of customers. Nova is the second-most popular family of models in Bedrock, Prasad said. The top group of models are from Anthropic.