AI video editing has shifted from a "novelty" phase into a high-utility toolkit. In 2026, the focus isn't just on making strange AI clips; it’s about seamless integration—using AI to fill gaps in footage, fix low-quality recordings, and automate the tedious parts of the edit.

Here is the breakdown of how these two distinct technologies work and when to use them. 

B-roll is the supplemental footage used to cut away from a main subject (like a talking head). AI now generates this on demand to match your specific script.

• Generative B-Roll: Tools like Runway Gen-3 or Luma Dream Machine create 5–10 second clips from text prompts. If you’re talking about "a futuristic city in the rain," you can generate that exact shot instead of hunting through stock libraries.

• Automated B-Roll: Platforms like Vizard or Descript analyze your transcript and automatically pull matching stock footage or generate AI clips to "cover" your cuts, significantly reducing editing time.

• The "In-Painting" Effect: You can now take a static photo and "animate" specific parts (e.g., making clouds move or a river flow) to create custom, high-end cinemagraph B-roll. 

  Visual Enhancement (The "Fix-It" Suite)

  Visual enhancement uses neural networks to "rebuild" pixels rather than just stretching them. This is the professional standard for salvaging unusable footage.