OpenAI CFO Sarah Friar on IPO, AI Rivalries, New Device, and Spending $100B+ on Compute

Sarah Friar, CFO of OpenAI, joins a panel discussion covering a wide range of topics including OpenAI's record-breaking $122 billion fundraising round, IPO timing, competitive positioning against Anthropic, compute infrastructure strategy, and future product plans.

On the IPO question, Friar downplays the importance of timing, arguing that an IPO is a milestone and funding mechanism rather than a destination. She notes that no one remembers who IPO'd first between Google and Yahoo or Uber and Lyft, and that building durable, sustainable companies matters more than sequencing.

Regarding competition with Anthropic, Friar reframes the question by emphasizing OpenAI's distinct strategy: building a single AI intelligence layer with multiple interfaces, including ChatGPT (900M+ weekly users), Codex (5M users), and enterprise offerings. She argues this unified model approach creates compounding advantages through more users, more data, lower per-token costs, and higher gross margins over time.

On compute infrastructure, Friar describes a dramatic evolution from OpenAI's early single-CSP, single-chip, single-product model to a diversified Rubik's cube of compute partnerships spanning Microsoft Azure, Oracle, CoreWeave, GCP, AWS, and neo-clouds. On the chip side, Nvidia remains the primary partner for frontier training runs, but AMD, Cerebras, and a proprietary chip built with Broadcom are also in the pipeline. She reveals that Sam Altman is simultaneously cutting the ribbon on a 1-gigawatt data center in Selfridge, Michigan, which won't produce usable compute until end of 2027 or early 2028. She expresses that compute scarcity will persist through 2026-2027 and that her current focus is securing compute for 2030-2032.

On capital allocation and economics, Friar explains that per-token costs have dropped ~97% from GPT-4 to GPT-4.5, and that the new GPT-5.5 model still offers customers 20-30% cost reductions per token despite a 2x price increase. She describes a financial modeling approach where near-term (2026-2027) forecasts are bottoms-up based on known products and pricing, while outer-year projections work backward from committed compute capacity to estimate revenue potential.

On the consumer hardware front, Friar confirms that OpenAI, in collaboration with Jony Ive's team, is developing a new consumer device expected to be unveiled by end of 2025 or early 2026. She describes it as feeling 'natural and lovable' and suggests it will shift the interaction paradigm away from screen-based interfaces toward multimodal, voice-first experiences.

On advertising, Friar outlines a vision for a highly targeted ad platform that combines Google's high-intent search-like signals with Meta's demographic targeting, supercharged by ChatGPT's memory and context capabilities. She commits to always maintaining an ad-free paid tier and ensuring model results are never sponsored.