OpenAI offers AI for chip design, touts cost advantage over open-source, CFO says


FILE PHOTO: OpenAI logo is seen in this illustration created on June 11, 2026. REUTERS/Dado Ruvic/Illustration/File Photo

Sept 8 (Reuters) San ⁠Francisco - OpenAI is pushing its AI into specialized industries and undercutting open-source ⁠rivals on cost, Chief Financial Officer Sarah Friar said on Monday, ‌as the ChatGPT maker sees accelerating enterprise growth.

Speaking at Goldman Sachs' Communacopia + Technology Conference in San Francisco, Friar said OpenAI is focusing on sectors including chip design, life sciences and financial services, as ​businesses increasingly seek AI systems tailored to specific tasks. ⁠It also is experimentingwith pricing ⁠based on business outcomes rather than use, as more enterprises demand return on investment ⁠in ‌AI.

The push into industry-specific AI and aggressive pricing reflects the growing competition OpenAI faces from Chinese open-weight models and rivals such as Anthropic, as ⁠enterprise customers demand more measurable returns from AI spending.

Friar ​said OpenAI had a ‌positive experience of its own, using its own models in developing its ⁠Jalapeno chip, which ​was "taped out", a stage when a chip design is finalized and sent to a factory for production, within nine months.

Open-source and open-weight models are widely seen as a cheaper alternative ⁠to frontier models fromOpenAI and Anthropic. Friar said ​OpenAI recently cut the price of its lower-cost Luna model by 80%, helping drive a roughly 10-fold increase in usage. OpenAI's Codex, its coding tool, is attracting customers and ⁠has 25 million users, she said.

Friar said enterprise revenue increased 32% from June to July, compared with 20% growth in overall annualized revenue during the period. Enterprise and consumer businesses had reached roughly an even split by the middle of ​the year, ahead of OpenAI's target of reaching that ⁠balance by year-end, she said.

Deploying OpenAI's lower-cost model could be cheaper than running Chinese open-source ​alternatives through cloud providers, she added.

"If you're deploying ‌Luna and compare that to (Z.ai's) GLM 5.3, ​for example, on a cloud layer, we are cheaper," Friar said.

(Reporting by Krystal Hu in San Francisco; editing by Peter Henderson and Lincoln Feast.)

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