OpenAI is stepping up efforts to expand the enterprise artificial intelligence market. After widening its reach in the consumer market with ChatGPT, it is now pursuing a strategy to position AI not as a productivity tool but as a core layer that drives overall corporate operations.

TechRadar reported on May 16 that Ashley Kramer (애슐리 크레이머), vice president of OpenAI Enterprise, said in a recent interview after the company’s enterprise customer event that adoption is spreading rapidly, particularly in Europe.

She explained that how companies use AI has changed from the early days. “AI is already moving beyond productivity gains and into the operational layer of the enterprise,” she said, adding that companies are starting to embed intelligence across their organisations. She said its use is expanding beyond a simple personal assistant toward reshaping multiple departments and workflows.

That trend is also reflected in its recently unveiled enterprise product lineup. OpenAI has rolled out enterprise solutions and support systems in recent weeks. In particular, its coding tool Codex is boosting early adoption momentum. Kramer said Codex weekly users rose to 4,000,000 from 3,000,000 in 15 days.

A key point is who is using it. Codex is known as a developer-focused tool, but use among non-technical staff is also rising quickly. Kramer said 40 percent of Codex usage currently comes from non-technical areas such as human resources, finance, sales and marketing. She said those departments are using Codex to reduce repetitive administrative tasks and workflows, and to delegate work based on agents.

Roles are also shifting among technical staff. Codex is helping ease bottlenecks in testing and deployment, making it easier to move software into real operating environments faster. OpenAI judges that developers are moving beyond writing code directly and toward coordinating multiple AI agents.

It is also strengthening its deployment support organisation separately. OpenAI plans to expand a deployment model that sends staff directly to new customers’ sites by launching the OpenAI Deployment Company. It aims to help companies understand OpenAI technology more quickly and embed it in real work. Kramer also said a system that supports the customer journey end to end is important, adding that results were confirmed in a deployment support case with Nvidia.

Behind the moves is a view that AI is penetrating workplaces faster than expected. Kramer said workplace use of AI has reached what OpenAI internally calls an “inflection point”. With ChatGPT’s weekly active consumer users now at 900,000,000, she said a tool that has become familiar in daily life is naturally carrying over into workplace use. She said people start using ChatGPT in daily life and then connect it to ways to raise work capabilities.

OpenAI sees the enterprise market not as a simple revenue source but as a central pillar of its long-term strategy. Kramer emphasised that whether enterprise customers succeed is the most important measure, and stressed that organisations need to move from experimentation to real operations.

OpenAI’s enterprise strategy is thus summarised in two tracks. One is to deeply embed AI into workflows for both technical and non-technical staff through tools such as Codex. The other is to link pilot deployments to real operations through on-site deployment support. Future points to watch are how far those strategies spread to enterprise customers beyond Europe, and whether AI can take root as a core operating system inside companies.