Generative AI
Simple Definition
Generative AI is AI that creates new content — it generates text, images, audio, video, code, or other outputs rather than simply analyzing or classifying what already exists.
When you ask ChatGPT to write an email, or use Midjourney to create an image, you’re using generative AI.
What Generative AI Can Create
- Text — articles, emails, code, scripts, summaries (ChatGPT, Claude, Gemini)
- Images — photos, illustrations, artwork (Midjourney, DALL-E, Stable Diffusion)
- Audio — realistic voiceovers and speech (ElevenLabs, Suno)
- Video — AI-generated or AI-edited video (Runway, Sora)
- Code — working programs and functions (GitHub Copilot, Cursor)
How It Works
Generative AI models are trained on massive amounts of existing content. They learn the patterns, structures, and styles present in that content. When you give them a prompt, they generate new content that follows the same patterns — but is original rather than copied.
Why It Matters for Work
Generative AI is the technology behind the current productivity wave. It lets individuals produce content — writing, visuals, code, analysis — at a speed and scale that was previously only possible for large teams.
Related Terms
- LLM — the type of generative AI that handles text
- Diffusion Model — the type of generative AI behind most image generators
- Foundation Model — the large pre-trained models generative AI is built on
- Artificial Intelligence — the broader field generative AI belongs to
See AI terms in action
Browse practical AI workflows that use the concepts in this glossary.
Frequently Asked Questions
What is the difference between AI and generative AI?
AI is the broad field — it includes everything from spam filters to self-driving cars. Generative AI is a specific type that creates new content. Not all AI is generative, but all generative AI is AI.
Is ChatGPT generative AI?
Yes. ChatGPT generates new text in response to your prompts. It doesn't just retrieve stored answers — it creates novel responses each time.
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