What is generative AI?
Generative AI is artificial intelligence that creates new content, text, images, audio, or code, by learning patterns from huge amounts of existing data. Instead of just analyzing or sorting information, it produces something that was not there before.
Instead of just analyzing or sorting information, it produces something that was not there before.
Fresh, original output, generated on demand.
The way words tend to follow words or shapes tend to form images.
Human review still matters for anything that counts.
It learns the underlying structure of its training data, the way words tend to follow words or shapes tend to form images, and uses that to generate fresh, original output on demand. The tools behind today’s AI assistants are built on exactly this.
Figure 1. From existing data to new content
Drawn from this article: generative AI learns the underlying structure of its training data and uses it to generate fresh, original output on demand; because it can sound confident while being wrong, human review still matters for anything that counts. Structure only; the figure carries no count or measure.
The power is obvious. So are the limits: it can sound confident while being wrong, which is why human review still matters for anything that counts.
How is generative AI different from traditional AI?
Traditional AI mostly analyzes or classifies existing data. Generative AI creates new content.
Traditional AI
What it does- Mostly analyzes or classifies existing data
- Analyzing or sorting information
Generative AI
What it does- Creates new content: text, images, audio, or code
- Produces something that was not there before
- Generates fresh, original output on demand
Related reading
Related terms:
Guide: Agentic AI vs Generative AI vs Traditional AI: What Sets Them Apart
Services: Artificial Intelligence
