OpenAI CFO Sarah Friar just walked back comments about seeking federal backing for the company's massive infrastructure spending spree. Her LinkedIn clarification comes as questions swirl around how the AI startup can afford over $1.4 trillion in data center commitments against roughly $13 billion in annual revenue.
OpenAI CFO Sarah Friar is doing damage control after stirring up questions about the company's financing strategy. Late Wednesday, she posted a LinkedIn clarification walking back comments she made at the Wall Street Journal's Tech Live event about seeking a federal "backstop" for infrastructure investments.
"I used the word 'backstop' and it muddied the point," Friar wrote, clearly trying to contain fallout from her earlier remarks. At the WSJ event, she'd suggested OpenAI was looking to create an ecosystem involving banks, private equity, and federal guarantees to finance cutting-edge chip investments - comments that immediately raised eyebrows across Silicon Valley.
The clarification comes as OpenAI faces mounting scrutiny over its financial strategy. The company has inked more than $1.4 trillion in infrastructure deals in recent months, promising to build out massive data centers to meet AI demand. But with annual revenue sitting at roughly $13 billion according to Friar's September CNBC interview, the math doesn't add up for many observers.
CEO Sam Altman clearly doesn't appreciate the questions. During a weekend podcast with investor Brad Gerstner, Altman bristled when pressed about how the company could make trillion-dollar commitments given its revenue base. "Brad, if you want to sell your shares, I'll find you a buyer," Altman shot back. "Enough." The defensive response only added fuel to speculation about OpenAI's financial positioning.
Friar's backpedaling reveals the tightrope OpenAI is walking between aggressive expansion and maintaining investor confidence. Her original "backstop" comments suggested the company might need government support to fulfill its infrastructure promises - exactly the kind of admission that could spook private investors who've already pumped billions into the AI darling.
The timing is particularly sensitive as the AI infrastructure arms race heats up. , , and are all making massive data center investments, while can barely keep up with chip demand. aggressive commitments position it to compete, but only if it can actually finance them.
