In a Trial Pitting Him Against Elon Musk, Nobody Has More to Lose Than OpenAI CEO Sam Altman

CEO of OpenAI Sam Altman walks at the courthouse during a recess of the trial in Elon Musk's lawsuit over OpenAI for-profit conversion at a federal courthouse in Oakland, California, US, May 4, 2026. (Reuters)
CEO of OpenAI Sam Altman walks at the courthouse during a recess of the trial in Elon Musk's lawsuit over OpenAI for-profit conversion at a federal courthouse in Oakland, California, US, May 4, 2026. (Reuters)
TT

In a Trial Pitting Him Against Elon Musk, Nobody Has More to Lose Than OpenAI CEO Sam Altman

CEO of OpenAI Sam Altman walks at the courthouse during a recess of the trial in Elon Musk's lawsuit over OpenAI for-profit conversion at a federal courthouse in Oakland, California, US, May 4, 2026. (Reuters)
CEO of OpenAI Sam Altman walks at the courthouse during a recess of the trial in Elon Musk's lawsuit over OpenAI for-profit conversion at a federal courthouse in Oakland, California, US, May 4, 2026. (Reuters)

In a trial featuring a clash between Elon Musk and OpenAI CEO Sam Altman, neither of the tech titans has emerged as an overly sympathetic character. But nobody has more to lose than Altman, who is expected to take the stand this week to defend himself.

Already, testimony about Altman's turbulent tenure at the ChatGPT maker has become prime fodder for internet jokes. One piece of evidence that has inspired countless memes was a text exchange between Altman and a company officer, Mira Murati, in 2023 during his short-lived ouster as CEO, when Altman asked if things were moving “directionally good or bad” and she wrote back: "Sam this is very bad.”

Musk, the world's richest man, is seeking Altman's second ouster from the company leadership as part of a civil lawsuit accusing him of betraying their shared vision for OpenAI. Since its start as a nonprofit funded primarily by Musk, Open AI has evolved into a capitalistic venture now valued at $852 billion.

Even if Musk loses, the trial has invited further scrutiny of Altman’s leadership at a pivotal time for the company and its competition with Musk’s own AI firm and another rival, Anthropic, formed by a group of seven ex-OpenAI leaders. All three firms are moving toward planned initial public offerings that are expected to be some of the largest ever.

A jury that’s already heard about Altman’s character from a parade of his former allies and adversaries will ultimately decide the verdict. But the repercussions could reverberate widely.

“This is not looking good for any of them and I think that that’s a little bit unfortunate for the AI industry at a time when the public perception of AI is quite negative and seems to be getting worse,” said Sarah Kreps, director of Cornell University’s Tech Policy Institute.

Musk warned Altman would be one of America's ‘most hated’ men

The lawsuit accuses Altman and his top lieutenant, Greg Brockman, of double-crossing Musk by straying from the San Francisco company’s founding mission to be an altruistic steward of a revolutionary technology. The lawsuit alleges they shifted into a moneymaking mode behind his back.

Shortly before the trial began, Musk abandoned a bid for damages for himself and instead is seeking an unspecified amount of money to be paid to fund the altruistic efforts of OpenAI’s charitable arm. In a text exchange with Brockman proposing a possible settlement, Musk warned that Brockman and Altman “will be the most hated men in America” as a result of the trial.

While Musk, the head of SpaceX, Tesla and a slew of other companies, was well known by the San Francisco Bay Area jury pool, fewer knew who Altman was before the start of the trial, even if they were familiar with ChatGPT.

As the trial has played out in a federal courtroom in Oakland, California over the last two weeks, jurors have heard from witnesses including OpenAI ex-board members Helen Toner and Tasha McCauley, who spoke about the decision to fire Altman in 2023 before they were themselves ousted from the board of directors when Altman returned to his role.

In video testimony last week, Toner said a starting point for the decision to oust Altman was when OpenAI co-founder Ilya Sutskever, a respected AI scientist, reached out to confide some of his own concerns.

“A phrase we used was ‘a pattern of behavior,’ so no one single cause,” Toner said. “The pattern of behavior related to his honesty and candor, his resistance of board oversight.”

Sutskever was instrumental in the unsuccessful attempt to oust Altman but later said he regretted his role in the shakeup. In his own testimony Monday, Sutskever confirmed that he wrote a 2023 memo to OpenAI’s board that characterized Altman as pitting his executives against one another and exhibiting a “consistent pattern of lying” that was causing a loss of trust and productivity.

Sutskever said Altman’s behavior contributed to an environment that was “not conducive” to the company's goals, including its mission to safely build artificial general intelligence. He said he later backtracked and supported Altman’s reinstatement because he was concerned about what would happen to a company he worked hard to create and “cared very much about.”

“I felt that, had I not done this, the company would have been destroyed, and I felt that this was a Hail Mary,” he testified.

OpenAI begins presenting its side

The trial has carried risks also for Musk, who is pursuing an initial public offering this summer for his rocket ship maker, SpaceX, which could make him the world's first trillionaire. Among the witnesses has been Shivon Zilis, a former OpenAI board member who served as a conduit between Musk and OpenAI's leaders and also didn't disclose that Musk was the father of her two young twins, according to trial testimony.

Not until midday Monday, on the third week of the trial, did OpenAI begin calling its own witnesses, starting with Bret Taylor, the current chair of OpenAI’s board who painted a more positive portrait of Altman’s leadership.

“I think Sam has done a great job as CEO,” Taylor said. “He’s been forthright with me and the other board members.”

Syracuse University professor Shubha Ghosh, an expert in business and technology law, said regardless of the outcome of the case, he has doubts about Altman staying on as CEO of OpenAI in the long run.

“A lot this of might depend upon a testimony,” he said. “And I don’t know what he’s going to say or how he’s gonna say it. But even like the best case, movie theater type performance, with all the music playing and whatnot, I don’t see him coming off as a fairly strong leader, especially (since) this case has gone this far."



How China Is Preparing for the Risk of AI Escaping Human Control

An AI logo is seen during the opening day of the IFA trade fair in Berlin, Germany, 04 September 2026. (EPA)
An AI logo is seen during the opening day of the IFA trade fair in Berlin, Germany, 04 September 2026. (EPA)
TT

How China Is Preparing for the Risk of AI Escaping Human Control

An AI logo is seen during the opening day of the IFA trade fair in Berlin, Germany, 04 September 2026. (EPA)
An AI logo is seen during the opening day of the IFA trade fair in Berlin, Germany, 04 September 2026. (EPA)

Warnings from researchers at leading US artificial intelligence developer Anthropic that increasingly powerful models could escape human control and even lead to the extinction of the human race have drawn attention in China, where policymakers have been preparing for some of the same risks.

The US and China are the two major driving forces of frontier AI development and the technology's global adoption. Both superpowers have been increasingly at loggerheads over each other's AI policies and industry practices, with these issues slated to feature prominently in bilateral talks later this month.

Despite the race to develop increasingly powerful AI systems, regulatory frameworks and public statements from Beijing underscore how Chinese authorities regard the possibility of advanced AI escaping effective human oversight as serious enough to plan for.

CHINA SEES RISKS IN LEADING CLOSED-SOURCE US MODELS

China's state ‌security minister Chen ‌Yixin wrote in a government outlet on Sunday that advanced US models such as Anthropic's ‌Mythos and ⁠OpenAI's GPT-5.5-Cyber ⁠could pose serious risks to China's critical information infrastructure and called for a comprehensive strengthening of AI security.

Anthropic and OpenAI did not immediately respond to Reuters requests for comment.

Chinese AI developers have promoted open-weight models partly on the grounds that cybersecurity teams can inspect, modify and deploy them for defensive work.

Model repository platform Hugging Face said it used GLM-5.2, an open-weight model developed by China's Z.AI, to analyze a July intrusion by escaped OpenAI agents after more tightly restricted US models proved less useful for the forensic work.

But experts also highlight the risks posed by open-weight models, which can be modified and redistributed with little oversight.

Moonshot's Kimi K3 last month bypassed a UK AI ⁠Security Institute testing sandbox, highlighting the risk that Chinese AI models could, like their US counterparts, ‌evade controls designed to restrict their access and actions.

REGULATORS HAVE FLAGGED AI 'LOSS OF ‌CONTROL' RISK

China first included an explicit future loss-of-control scenario in an AI safety framework released in September 2024 under the guidance of the ‌Cyberspace Administration of China (CAC).

The document said it could not be ruled out that future AI might autonomously obtain external ‌resources, replicate itself, develop self-awareness and seek external power, creating a risk of competing with humans for control.

The CAC released an expanded version in September 2025. The newer framework sharpened the scenario, saying AI could undergo a sudden and unexpectedly large "leap" in intelligence before acquiring resources, replicating itself and seeking power. It also added a governance principle of "trusted application, preventing loss of control".

A later expert interpretation published on the cyberspace regulator's website said ‌the new principle was intended to guard against loss-of-control risks threatening human survival and development and referred to a possible "AI breaking loose" scenario.

CHINESE LEADER XI PUTS HUMAN CONTROL AT CENTRE

The ⁠concern has since appeared in ⁠China's highest-level political messaging.

At the World Artificial Intelligence Conference in Shanghai in July, Chinese President Xi Jinping said authorities should pay close attention to both intrinsic and derivative risks arising from AI.

He said AI should "always remain under human control".

China's senior Foreign Ministry official responsible for AI affairs, Sun Xiaobo, said at a United Nations meeting last month that China was accelerating research into broader AI legislation.

China's deputy permanent representative to the United Nations, Sun Lei, urged governments this month to approach military AI cautiously to avoid strategic miscalculation and an arms race.

BEIJING WARNS OF NEW RISKS POSED BY AI AGENTS

China has, meanwhile, begun turning those principles into more specific rules for AI agents, which act much more autonomously and carry out more complex tasks than an ordinary chatbot.

In May, China's cyberspace regulator issued joint guidelines specifically covering such systems.

They require developers to improve their ability to discover, intervene in, block and recover from improper agent behavior.

The guidelines specifically identify data poisoning, algorithm manipulation, system vulnerabilities and "operational loss of control" as security risks. They also say users should retain final decision-making authority over an agent's autonomous decisions.

While China has not proposed independent monitors embedded inside AI companies in the manner advocated by Anthropic, its standards allow developers to commission third-party safety assessments, as well as envisaging outside evaluation bodies and security researchers testing and auditing open models.


SDAIA to Asharq Al-Awsat: Saudi Arabia Moving from Adopting AI Standards to Shaping Them

 Saeed bin Mohammed Al-Shahrani, SDAIA spokesman (SDAIA)
Saeed bin Mohammed Al-Shahrani, SDAIA spokesman (SDAIA)
TT

SDAIA to Asharq Al-Awsat: Saudi Arabia Moving from Adopting AI Standards to Shaping Them

 Saeed bin Mohammed Al-Shahrani, SDAIA spokesman (SDAIA)
Saeed bin Mohammed Al-Shahrani, SDAIA spokesman (SDAIA)

AI ethics is no longer merely a matter of broad principles for regulators, particularly with the emergence of autonomous agents capable of making decisions and taking actions with minimal human intervention. In Saudi Arabia, the Saudi Data & AI Authority (SDAIA) maintains that an intelligent system does not bear legal responsibility when harm occurs; responsibility remains with the developer and the entity operating it.

Saeed bin Mohammed Al-Shahrani, SDAIA spokesman, told Asharq Al-Awsat in an exclusive interview that traditional governance frameworks are no longer sufficient to keep pace with such developments. In his view, high-risk decisions require human oversight, clear chains of responsibility and documented, operational emergency shutdown mechanisms.

His comments come ahead of the fourth UNESCO Global Forum on the Ethics of Artificial Intelligence, hosted in Riyadh from Sept. 14-17, marking the first time the international forum is being held in the Arab world. More than 100 speakers will take part in dozens of sessions and workshops, including ministers, policymakers, experts, academics, representatives of international organizations and the public and private sectors, as well as technology executives.

Global Forum Priorities

The program begins with preparatory meetings and gatherings of international networks involved in implementing UNESCO’s Recommendation on the Ethics of Artificial Intelligence, as well as a closed strategic briefing for ministerial participants and a ministerial dialogue on international cooperation.

The forum will review five years of implementing UNESCO’s recommendation, adopted in 2021, and discuss financing governance systems and building regulatory capacity. It will also see the launch of the updated Readiness Assessment Methodology, RAM 2.0, based on analysis of more than 55 readiness reports.

Sessions will address practical issues including AI use in public administration, health and humanitarian work, youth mental health, the environment, energy and water, linguistic diversity — including Arabic — as well as physical AI, robotics and human-machine relations in the workplace.

From Principles to Engineering Requirements

Five years after UNESCO adopted its AI ethics recommendation, Al-Shahrani sees the main problem as no longer a lack of principles, but the difficulty of translating them into tools developers and regulators can use and against which compliance can be measured.

He described the key gap as the “operational translation of principles”: turning concepts such as fairness, transparency and accountability into engineering requirements, standardized tests and binding regulatory controls for developers. He also pointed to disparities in governments’ ability to conduct hands-on technical assessments and monitor systems before deployment and during operation.

In Saudi Arabia, SDAIA has introduced principles and frameworks governing the relationship between people, data and AI technologies, Al-Shahrani said, covering integrity and fairness, security and privacy, humanity, social and environmental benefits, reliability and safety, transparency, as well as accountability and responsibility.

Flexible Regulation

Al-Shahrani identified building specialized governance skills and institutional capacity as a major readiness challenge, noting that technology is evolving faster than people can adapt.

He continued that SDAIA is pursuing a “flexible regulation” strategy based on continuous assessment and providing companies with self-assessment tools rather than imposing complex bureaucratic procedures.

The approach comes amid growing debate within the AI industry over whether safety and oversight measures can keep pace with the rapid development of advanced models.

From Adopting Standards to Shaping Them

SDAIA does not necessarily expect the world to reach a single detailed AI law. Al-Shahrani acknowledged the difficulty of establishing one detailed framework given differences in legal systems and economic priorities among the United States, Europe, China and others, but considers convergence on fundamental principles and safeguards “possible and necessary.”

What is needed, he argued, is not a single dominant model but common ground on issues such as safety and ethics, while narrowing the gap between technological powers and emerging markets.

Al-Shahrani told Asharq Al-Awsat that Saudi Arabia has become an active participant in shaping international AI rules and initiatives by sharing its expertise, partnerships and a vision that seeks to balance innovation and governance.

He highlighted cooperation with UNESCO and other international institutions, as well as the establishment in Riyadh of the International Center for AI Research and Ethics (ICAIRE), under UNESCO’s auspices.

The center is intended to help move AI ethics from broad principles to practical implementation by embedding them in scientific research, education, standards, innovation and public policy from the earliest stages of technology development — reflecting Saudi Arabia’s desire to help shape standards rather than merely apply rules formulated elsewhere.


China State Newspaper Blasts Anthropic’s Calls to Slow AI as ‘Cold War’ Tactic

CEO of Anthropic Dario Amodei addresses the gathering at the AI Impact Summit, in New Delhi, India, February 19, 2026. (Reuters)
CEO of Anthropic Dario Amodei addresses the gathering at the AI Impact Summit, in New Delhi, India, February 19, 2026. (Reuters)
TT

China State Newspaper Blasts Anthropic’s Calls to Slow AI as ‘Cold War’ Tactic

CEO of Anthropic Dario Amodei addresses the gathering at the AI Impact Summit, in New Delhi, India, February 19, 2026. (Reuters)
CEO of Anthropic Dario Amodei addresses the gathering at the AI Impact Summit, in New Delhi, India, February 19, 2026. (Reuters)

An essay by Anthropic's CEO calling for a slowing down of AI development may look like a rational statement focused on safety risks, but it is really a "Cold War playbook" targeting China, the state-backed Global Times said in an editorial.

In the essay published on Saturday and later endorsed by OpenAI CEO Sam Altman and SpaceX founder Elon Musk, Dario Amodei outlined a framework ‌to pace the ‌development of frontier AI model capabilities and ‌create ⁠more time to ⁠manage mounting safety risks.

Amodei also urged the US to strengthen chip export controls on China and crack down on alleged model distillation by Chinese AI labs. He also told CBS News on Sunday that the "toughest dilemma" over his proposal to slow AI advancement was if China and other adversarial nations chose not ⁠to do the same.

The Global Times tabloid ‌said the true agenda of ‌Amodei's essay was "to attempt to curb China's AI development through technological barriers ‌and regulatory monopolies, uphold Washington's monopolistic hegemony in cutting-edge technology, and ‌exclude China from the global AI governance system."

"This 'silent AI Cold War' is hypocritical and short-sighted," it said, adding that excluding China from global AI innovation would "significantly increase the trial-and-error costs and risks of loss ‌of control in global AI development".

US lawmakers have urged new rules to govern AI systems after ⁠dire warnings ⁠from two Anthropic researchers that rapidly progressing AI could lead to the extinction of the human race in the not-too-distant future.

Trump brushed aside calls to slow down AI on Sunday, saying that "very negative forces" were raising exaggerated concerns.

"We're leading China in AI. We're the most sophisticated country in the world, and frankly I want to keep it that way because whoever wins AI wins," Trump said.

The US and China are planning to discuss frontier AI safety risks in mid-September, sources have said, and the issue could be raised during a summit between Presidents Donald Trump and Xi Jinping on September 24.