OpenAI’s data center leader exits amid executive exodus

OpenAI has lost another key executive, with Chris Malone, the company’s former head of data centers, departing last week. Malone, who previously spent nearly five years at Meta and over a decade at Google, joined OpenAI in March 2025. His departure comes as the company reorganizes its infrastructure team to better support its rapid growth and ambitious scaling plans. OpenAI stated in a response to TechCrunch that the reorganization aims to align its infrastructure organization with the scale and pace of its work, emphasizing that it retains a strong and experienced data center team with clear leadership.

Malone’s exit is particularly notable given his role in overseeing OpenAI’s data center strategy, a critical function as the company scales its AI infrastructure. His tenure at OpenAI coincided with the company’s involvement in the Stargate Project, a $500 million initiative launched under the Trump administration to develop domestic data centers in the U.S. OpenAI, alongside partners like Oracle, Nvidia, SoftBank, and Microsoft, played a key role in this effort, which underscores the strategic importance of Malone’s former position.

The reasons behind Malone’s departure remain unclear, but his exit adds to a growing list of high-profile departures at OpenAI this year. According to Business Insider, at least 13 executives have left the company in 2026, with several departures occurring in recent weeks. These exits are not limited to junior staff; they include some of the company’s most senior leaders. For instance, Denise Dresser, the chief revenue officer, was replaced just eight months into her role, while Brad Lightcap, a long-serving executive and former chief operating officer, announced his departure to pursue a new project. Lightcap’s exit followed Fidji Simo’s resignation from her role as product and business chief, reportedly due to health reasons, though she remains with the company in an advisory capacity.

The company’s safety and ethics teams have also seen significant turnover. In July, Chloé Bakalar, the head of ethics, left the company, and last week, it was reported that OpenAI had disbanded its preparedness team, which was responsible for assessing potential catastrophic risks posed by its AI models. Other departures, such as Bill Peebles, the former head of the now-defunct AI image generator Sora, reflect the broader trend of leadership leaving as projects are scaled back or shut down. Kate Rouch, the chief marketing officer, also departed in April, reportedly for health reasons.

OpenAI has attempted to downplay the significance of these departures, with co-founder Greg Brockman acknowledging that the intense scrutiny on the company means every exit is magnified. However, the sheer volume of high-profile departures has inevitably raised questions about leadership stability, especially as the company prepares for a long-anticipated initial public offering (IPO). Originally expected in 2026, OpenAI’s IPO has now been pushed to 2027, a delay that has fueled speculation about the company’s valuation and long-term profitability amid its substantial investments in AI infrastructure and research.

The departures also coincide with broader industry trends, as AI companies race to scale their infrastructure to meet growing demand for AI services. Data center strategy has become a closely watched role, given the critical importance of reliable and scalable infrastructure for training and deploying large language models. OpenAI’s reorganization, which included Malone shifting from reporting directly to Greg Brockman to reporting to vice president Sachin Katti, reflects an effort to streamline decision-making and execution in this area. The company has emphasized that multiple executives, including Uday Ruddarraju, Brent Mayo, and Spas Lazarov, remain in key data center leadership roles.

The timing of these departures has raised concerns about whether OpenAI can maintain its momentum as it navigates a period of intense scrutiny and rapid growth. The company’s ability to retain top talent and execute on its ambitious plans will be critical as it moves toward a public listing. Investors and industry observers will be closely watching how OpenAI addresses these challenges, particularly as competitors like Anthropic and Google continue to invest heavily in their own infrastructure and research efforts.

For now, OpenAI’s leadership has framed the departures as part of a natural evolution of the company’s organizational structure. However, the broader context of these exits, amid a push for an IPO and ongoing industry competition, suggests that the company faces significant hurdles in maintaining stability and investor confidence. The coming months will be pivotal in determining whether OpenAI can turn the page on this period of turnover and refocus on its long-term goals.