OpenAI loses its data center chief as executive turnover continues

OpenAI has lost another senior executive tied to one of the most important parts of its business. Chris Malone, the company’s former head of data centers, left last week, according to reporting by The Wall Street Journal. Malone joined OpenAI in March of last year after nearly five years at Meta and more than a decade at Google, giving him a relatively short tenure at the AI company.

The role matters because data center capacity has become a strategic constraint for the entire generative AI industry. Training and serving large models require access to expanding pools of computing power, while site selection, construction, energy, delivery schedules, and partnerships with cloud and chip companies all affect how quickly an AI lab can scale. Malone arrived at OpenAI soon after the launch of the Stargate Project, a $500 million data center initiative supported by the Trump administration. OpenAI, Oracle, Nvidia, SoftBank, and Microsoft are considered key partners in that effort.

Key points

• OpenAI has not publicly provided a specific reason for Malone’s departure.
• The company said it recently reorganized its infrastructure organization to match the scale and pace of its work.
• According to the reported changes, Malone stopped reporting directly to President Greg Brockman and began reporting to Vice President Sachin Katti, who took over leadership of the group.
• Uday Ruddarraju, Brent Mayo, and Spas Lazarov are among the executives now associated with data center operations, delivery, and engineering.
• Malone’s exit adds to a wider series of senior departures at OpenAI this year.

OpenAI has emphasized that it still has a deeply experienced data center team and the technical expertise needed to execute its plans. That response frames the change as an organizational adjustment rather than a loss of capability. Still, restructuring a critical infrastructure group during a rapid buildout raises a practical question: who has final authority over the decisions that determine how quickly new capacity can be delivered?

Malone’s departure also comes amid a broader reshuffling of OpenAI’s leadership. On the commercial side, Chief Revenue Officer Denise Dresser left after roughly eight months. Brad Lightcap, one of the company’s longest-serving executives and its former chief operating officer, departed shortly beforehand. Fidji Simo, who served as product and business chief and was widely viewed as a de facto second-in-command, stepped down because of a chronic illness but remains an adviser.

OpenAI’s safety and ethics functions have changed as well. The company lost its head of ethics, Chloé Bakalar, in July, and its preparedness team, which assessed whether models might create catastrophic risks, was reportedly disbanded. Other departures were connected to discontinued projects, including Bill Peebles, the former leader of the Sora image-generation project.

Co-founder Greg Brockman has argued that OpenAI’s unusually intense public spotlight means every departure receives more attention than it might at another company. That is a reasonable caveat: high visibility can make ordinary turnover appear exceptional. Yet the important issue is not any single executive leaving. It is whether the departures cluster around strategic reorganizations, project closures, and preparations for a potential public listing.

Why it matters

OpenAI’s public offering was originally expected this year but has reportedly moved to 2027. A listing process would place additional focus on organizational continuity, infrastructure execution, profitability, and whether very large investments can produce durable revenue. Executive turnover does not by itself prove that the company is in operational trouble. However, simultaneous changes in data centers, operations, revenue, safety, and ethics naturally invite questions about governance and accountability.

For that reason, Malone’s exit is best viewed as a window into OpenAI’s expansion rather than as an isolated personnel story. It highlights the competition for experienced infrastructure leaders and the coordination challenges created by rapid growth. The next test will be whether the reorganized team can keep the data center program moving and demonstrate that the new structure improves execution.

Source: TechCrunch AI