NVIDIA Scales Expertise with ChatGPT Work for AI Efficiency

NVIDIA is leveraging OpenAI’s ChatGPT Work to transform its internal operations, automating repetitive tasks, scaling workflows across regions, and accelerating its ability to act on fast-moving AI developments. The system has reportedly cut manual effort by as much as 40% in key areas, enabling NVIDIA teams to focus more on strategic goals.

One of the most notable applications comes from NVIDIA’s efforts surrounding GTC, its global AI conference. Will Daney, a Go-To-Market Strategist at NVIDIA, used ChatGPT Work to automate a previously time-intensive process of preparing account lists and tracking registrations. This change saves 16 hours per week during the 12-week leadup to the event, allowing Daney and his team to shift their focus to customer success. “It feels like I have a team working for me,” Daney said, emphasizing the tool’s ability to help him prioritize impactful work.

The integration isn’t limited to event preparation. Rachita Jain, a solutions architect at NVIDIA, uses ChatGPT Work to sift through 25–40 external AI updates weekly, distilling them into 5–8 actionable insights. This workflow connects external developments with NVIDIA’s internal priorities, enabling faster decision-making in an industry where speed often determines competitive advantage. “ChatGPT helped me change passive reading into active intelligence,” Jain explained, underscoring the tool’s value in tackling information overload.

These efficiencies have broader implications for NVIDIA’s enterprise-scale operations. By using ChatGPT Work to convert specialized knowledge into reusable workflows, teams across regions can adopt proven processes tailored to their needs. For example, workflows originally built for GTC in San Jose have been customized and deployed for similar events in Europe, Taipei, and Washington, DC.

Notably, ChatGPT Work isn’t NVIDIA’s first foray into OpenAI’s ecosystem. Earlier this year, on May 12, OpenAI highlighted how NVIDIA engineers used Codex, another AI product, to accelerate machine-learning experiments by up to 10 times. This broader adoption of AI tools demonstrates NVIDIA’s commitment to operationalizing AI at every level of its business.

For OpenAI, NVIDIA’s case study represents a key enterprise validation of ChatGPT’s potential to automate complex workflows. Over 1 million businesses globally now use OpenAI products, but NVIDIA’s success in scaling expertise and speeding up internal processes serves as a high-profile example of what’s possible. This alignment between two AI powerhouses—NVIDIA and OpenAI—reinforces the growing trend of AI as a critical operational tool in enterprise settings, not just a research or consumer-facing product.

As the AI industry evolves, tools like ChatGPT Work will likely become increasingly essential for companies aiming to stay ahead of rapid technological changes. For NVIDIA, the next step involves expanding these workflows to more teams and functions, ensuring that AI remains deeply integrated into its operations. With the global AI market valued at trillions, efficiency gains from tools like ChatGPT could offer NVIDIA and its peers a significant edge.

Image source: Shutterstock