"AI Content Generation"
The Core Concept
AI Content Generation utilizes generative models to produce creative assets.
For text, tools like ChatGPT or Claude write blogs and social posts. For images, Midjourney or DALL-E create visuals. For video, tools like Sora or Runway generate clips. This technology has shifted the bottleneck of content marketing from "creation" to "editing and strategy."
Why It Matters
Cost Reduction: Drastically lowers the cost of producing first drafts and stock imagery.
Volume: Allows brands to publish more frequently across more channels.
Personalization: Can generate 1,000 variations of an ad image for different demographics instantly.
Best Practices
Human in the Loop: AI content should always be reviewed for accuracy (hallucinations) and brand voice.
Disclosure: In many jurisdictions, disclosing AI-generated content is becoming a legal requirement.