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OpenAI · April 2025 · Playbook

Identifying and scaling AI use cases: How early adopters focus their AI efforts

Identifying and scaling AI use cases: How early adopters focus their AI efforts is a 2025 guide from OpenAI. Its core idea: content creation, research, coding, data analysis, ideation/strategy, automation.

Read the original report ↗Cite2 min read · Summary updated
6 primitives
content creation, research, coding, data analysis, ideation/strategy, automation
Source: OpenAI, Identifying and scaling AI use cases: How early adopters focus their AI efforts, April 2025.

Key ideas

  1. 01
    Three steps: spot where AI helps (repetitive tasks, skill bottlenecks, ambiguity), teach six use-case primitives, then collect and prioritize use cases.
  2. 02
    Recommends leadership-led adoption, starting with simple employee-found use cases, and hackathons or workshops to speed discovery.
  3. 03
    Prioritizes use cases on an impact-versus-effort view; based on OpenAI's customer implementations and adoption surveys.

What it means for you Draft

For executives at $10–100M companies

One of the most practical free guides for a firm just starting out: the six primitives give managers a shared vocabulary for spotting use cases, and the prioritization step fits on one whiteboard. Skip the adoption statistics in the foreword and read past the ChatGPT Enterprise framing.

Limitations

Medium trust.Practical and concrete, but written by an AI vendor from its own customer base; no independent method.

About the publisher: Makes ChatGPT; studies its own customers.

Cite the original

OpenAI. "Identifying and scaling AI use cases: How early adopters focus their AI efforts." April 2025. https://openai.com/business/guides-and-resources/identifying-and-scaling-ai-use-cases/

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