You’ve probably heard “AI” and “generative AI” used interchangeably — but they’re not quite the same thing.
AI is the broad umbrella: any system that can perform tasks that normally require human intelligence — recognising images, making recommendations, predicting outcomes.
Generative AI is a specific type of AI that creates new content — text, images, audio, video, code — based on a prompt. Tools like ChatGPT, Google’s Gemini, and Claude are generative AI. So are image tools like Midjourney.
The key difference in practice:
- A traditional AI system might predict which customers are likely to cancel their subscription (a prediction)
- A generative AI tool can write the email you’d send to try to retain them (a creation)
For most businesses, generative AI is the more immediately useful category — it’s the one that helps with first drafts of emails, social posts, product descriptions, meeting summaries, and code.
The tools are improving fast and converging — most major AI assistants now combine generative capabilities with search, data analysis and “agent” features that can take actions on your behalf. The practical question is the same as ever: pick one repetitive task, try a generative AI tool on it, and see how much editing the output actually needs.
