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OpenAI Exec Says Enterprises Seek Help With AI Innovation
PYMNTS · 2026-05-12 · via PYMNTS.com

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Enterprises are adopting the latest artificial intelligence (AI) models but often say they have trouble keeping up with the “compounded innovation,” OpenAI Chief Revenue Officer Denise Dresser told CNBC in an interview posted Monday (May 11).

“I think we’re at a tipping point relative to where we are with enterprise AI adoption,” Dress said. “When you think about the speed of innovation around the models and the capabilities, we’re really bridging a gap between the way that enterprises are able to deploy this capability right now.”

Dresser said this while discussing the Monday debut of the OpenAI Deployment Company.

As PYMNTS reported Monday, this new company will help organizations build and deploy AI systems. The company is a partnership between OpenAI and 19 global investment firms, consultancies and system integrators, and is majority-owned and controlled by OpenAI.

In her interview with CNBC, Dresser said that deploying AI is a lot for enterprises to process and take on. While enterprises are adopting the latest models, CEOs say they have trouble keeping up with the “compounded innovation,” she said.

“The good news is, they want to transform, they want to bring AI into their organization, not just to try it but to truly transform these workflows,” Dresser said. “Think about the complex workflows of how you actually build a product, service a product, market a product. The structure of this company is going to allow us to do that at speed and scale.”

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It was reported in January that OpenAI Chief Financial Officer Sarah Friar told CNBC that she expects the share of OpenAI’s business that is made up of enterprise companies to increase from 40% in January to 50% by the end of the year.

In the Monday interview with CNBC, Dresser said that because the OpenAI Deployment Company will have forward deployed engineers working side by side with customers, OpenAI will get feedback about its products while the customers are learning about the capabilities of those products.

“It creates a tight loop of not only innovation but also learning the customer, and we’re really excited about that, to scale enterprise adoption across the globe,” Dresser said.