In this episode, I dive into OpenAI’s new report, “Identifying and Scaling AI Use Cases” and break its insights down into six practical buckets any business can use:

1. Content Creation – the starting point for most of us.

2. Research – lightning-fast competitor intel and market sizing.

3. Coding – from dev productivity to “vibe-coding” for non-coders.

4. Data Analysis – an on-demand data analyst in your pocket.

5. Ideation & Strategy – my favourite AI brainstorm partner.

6. Automations – the not-so-sexy time-saver that points straight to AI agents.

Along the way, I share how I’m already using each bucket in my consulting work, plus a quick review of Gamma.app, the AI presentation builder I used to create the slides that kept this episode on track.

If you’re wondering where to start with AI, or where to go next, this framework will help you spot the gaps and the opportunities.

• “Primitives” explained: why thinking in fundamental tasks (not job titles) makes AI adoption easier.

• Real-world examples for marketing, sales, product, HR and finance

• Personal stories of the time, money and creative boost I’m already seeing.

• Why automations (and soon, autonomous agents) might be the biggest win of all.

  
  

References:

* Gamma.app (AI Presentation builder) https://gamma.app/ 

* Open AI Report: https://cdn.openai.com/business-guides-and-resources/identifying-and-scaling-ai-use-cases.pdf 

Chapters

00:00 Introduction to the six Business Use Cases for AI

03:25 1. Content Creation

05:50 2. Research

07:59 3. Coding

11:04 4. Data Analysis

12:48 5. Ideation & Strategy

14:29 6. Automations

17:46 My way or the AI way Remix - courtsey of Mubert - 5 sec.mp3