OpenAI's data center chief left five months in, as the company commits $1.4 trillion to compute

OpenAI's data center chief left five months in, as the company commits $1.4 trillion to compute

Key points

  • Chris Malone, OpenAI's head of data centers, has left the company after about five months, first reported August 25 by journalist Anissa Gardizy.
  • He is the latest in a run of senior exits this year, including chief operating officer Brad Lightcap and revenue chief Denise Dresser, both this month.
  • The turnover comes as OpenAI raises compute spending. CEO Sam Altman has cited about $1.4 trillion in commitments over eight years.

OpenAI's head of data centers Chris Malone has left the company, according to a report on August 25 from journalist Anissa Gardizy. He held the job for about five months.

Who is Chris Malone?

Malone joined OpenAI in March from Meta (META), where he spent six years and led its move to an AI-first data center design. He held earlier engineering roles at Google (GOOGL) and Hewlett-Packard. At OpenAI he oversaw the design, construction and operation of the sites that train and run the company's models.

How many executives have left OpenAI?

Malone is the latest senior figure to leave this year. Longtime operating chief Brad Lightcap announced on August 11 that he was leaving, months after he moved from chief operating officer to a special-projects role. Revenue chief Denise Dresser left on August 13 after eight months, and OpenAI named former Wiz executive Dali Rajic to replace her. Earlier exits included applications chief Fidji Simo, product chief Kevin Weil and hardware lead Caitlin Kalinowski. CNBC reported the turnover raised a "huge red flag" ahead of a possible public listing.

Three executives who led OpenAI's Stargate data center effort, Peter Hoeschele, Shamez Hemani and Anuj Saharan, also left earlier this year. Sachin Katti, who joined from Intel (INTC), now oversees the Stargate groups.

Why are so many executives leaving?

OpenAI has given a different reason for each exit. Lightcap said he is leaving to start something new. Simo stepped back after taking medical leave and moved to a part-time advisory role. The company said Dresser is departing "to pursue other opportunities."

Commentators disagree over how to read the pattern. Axios labeled it a "pre-IPO refresh." Reports on the departures also cited a person who viewed the reshuffle as a delayed removal of underperforming leaders. CNBC took the opposite view, using the phrase "huge red flag" to describe the loss of senior staff before a potential listing.

Competition for experienced AI executives offers another explanation. Startup and funding tracker Dealroom argued that OpenAI may find retaining senior leaders as difficult as developing its technology, given the pull of rival companies and new ventures.

How much is OpenAI spending on data centers?

The departures come as OpenAI raises its spending on computing power. Chief executive Sam Altman has said the company has committed about $1.4 trillion over eight years to build close to 30 gigawatts of data center capacity. Altman has said OpenAI wants to reach a point where it adds a gigawatt of capacity a week, at a cost near $20 billion each.

How OpenAI gets that capacity has changed. It has stepped back from building its own Stargate sites and now leans on leasing compute from partners such as Oracle (ORCL) and Amazon (AMZN). OpenAI is private, so the news moves no stock directly. The companies that supply and host that compute, from Oracle to Nvidia (NVDA), increasingly tie their own forecasts to that spending.

Altman has said OpenAI expects to grow from a $20 billion annualized revenue rate to hundreds of billions of dollars by 2030.

Sources

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Dennis Singleton
Dennis Singleton

Dennis Singleton has spent years following the markets, but what keeps his attention is how AI is built. He writes about the companies behind the technology, from semiconductor designers and advanced packaging to photonics, memory, networking, and the hardware powering modern AI. His approach starts with filings, earnings, and industry research, then translates the important details into clear, straightforward analysis without unnecessary hype.