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Exclusive: Sarah Friar discusses computational constraints, ChatGPT-5 adoption trends, and why AI infrastructure parallels historic electricity expansions.
During a Washington World Forum interview, OpenAI CFO Sarah Friar identified computational limitations as the company's most significant operational bottleneck. "The biggest thing we face is being constantly under compute," stated Friar, highlighting the voracious GPU demands of AI systems as infrastructure developments like project Stargate accelerate.
Despite initial performance concerns following launch, ChatGPT-5 has seen accelerated Plus/Pro subscriptions driven by 700M weekly active users. Personalization features like memory functions have increased user retention, while enterprise adoption has "really outperformed expectations" according to Friar.
📈 Enterprise & API traction: Business adoption has become OpenAI's strongest growth vector over the past six months through workplace integrations.
Developer token usage surged over 50% week-over-week, with critical metrics showcasing technical adoption:
Dismissing AI investment as speculative bubble, Friar cited physical infrastructure similarities with historic buildouts: "We're in the early innings... It's more like the railroads or the buildout of electricity than anything I've seen." Unlike mobile/web eras, AI demands unprecedented physical infrastructure scaling to match economic impact projections.
In assessing startup viability, Friar outlined three competitive requirements:
OpenAI reports accelerating search market share growth through conversational functionality - doubling from 6% to 12% in six months. Friar notes conventional search metrics underestimate impact: "When you conduct conversational searches, 5-6 interactions constitute a single query rather than multiple instances."
Industry impact: Infrastructure constraints increasingly influence competition as computational capacity becomes a primary moat distinguishing AI leaders.