# How NVIDIA scales expertise with ChatGPT Work

Its twice-weekly GTC planning workflow saves about 16 hours per week across the 12-week planning cycle.

- An AI-operations workflow turns roughly 25–40 external AI updates into 5–8 actionable signals each week.
- One working prototype took about 3–5 days, compared with an estimated 2–3 weeks using separate tools and manual development.
- Manual GTC analysis previously consumed about 40% of go-to-market strategist Will Daney’s time.
- Teams supporting events in San Jose, Taipei, Europe, and Washington, DC received and customized the GTC workflows.

## Why it matters

NVIDIA knowledge workers can reuse automated processes across teams and regions, reducing manual information assembly and freeing more time for customers and analysis.

## Sources

- [OpenAI: How NVIDIA scales expertise with ChatGPT Work](https://openai.com/index/nvidia/chatgpt-work)

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Summarized by dstilled on 2026-08-18. https://dstilled.ai/story/9971d623-0b80-4118-b5a6-584efb5f4aca