Oracle exec tells workers that its own AI rollout didn't go so smoothly
Oracle co-CEO Clay Magouyrk revealed that the company struggled to find internal use cases for generative AI until recently. After implementing OpenAI tools, the company achieved 80% adoption, though it now faces challenges regarding cost management and operational bottlenecks.
Why it matters
It highlights the 'implementation gap' large enterprises face when transitioning from selling AI infrastructure to actually integrating AI into their own internal workflows.
Clay Magouyrk is the co-CEO of Oracle. Bloomberg/Getty Images Oracle has spent years building infrastructure for the AI boom. As recently as a year ago, it hadn't found broad internal uses for the tools, its co-CEO said. That changed this spring when Oracle rolled out OpenAI tools and reached 80% adoption. Oracle spent billions over the past two years helping other companies run AI. Its own companywide AI rollout came much later. During an internal town hall this week , co-CEO Clay Magouyrk said that last year, the company still hadn't found a way to make generative AI broadly useful to its own workforce. Now, after rolling out OpenAI's ChatGPT and Codex, employees are writing code dramatically faster, but creating new bottlenecks along the way.
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