Video Creation with AI
Knowledge
AI in Video Production
AI is transforming video production on multiple levels: from the complete generation of short clips from text, to automated editing of existing videos, to special effects and post-production. While AI-generated videos don't yet reach the quality of professional production, the progress is remarkable.
iAs of: May 2026
AI video generation is evolving particularly fast. The quality of results improves significantly with each new model generation. The capabilities and limitations described here may have already changed.
Three Categories of AI Video Work
1. Text-to-Video Generation
From a text description, the AI generates a video clip. Quality ranges from simple animations to photorealistic short videos. Typical applications:
- Concept visualization and storyboards
- Social media clips and short videos
- Animated explainer videos
- Product visualizations
2. Video Editing with AI
AI assists with editing existing videos:
- Automatic cutting: AI identifies the best moments and edits autonomously
- Subtitles and transcription: Speech is automatically recognized and displayed as text
- Background removal: People are isolated without a green screen
- Upscaling: Low-resolution material is scaled to higher resolution
- Color correction: Automatic adjustment of colors and lighting
3. AI-Assisted Special Effects
- Facial animation and lip synchronization
- Style transfer (a video in the style of a painting)
- Object removal and addition
- Scene extension beyond the frame
The AI Video Workflow
Typical AI Video Workflow
Click a step to see details
*Start Small
Start with AI video editing, not with full generation. Automatic subtitles, transcription, and simple cutting are mature and immediately useful. Text-to-video generation requires more willingness to experiment.
Understanding
Limitations of AI Video Generation
Despite impressive demos, AI-generated videos still have clear limitations:
- Physical correctness: Objects pass through each other, gravity is ignored, movements appear unnatural
- Consistency: Over several seconds, objects, people, or backgrounds change unintentionally
- Length: High-quality generation is limited to about 30 seconds to two minutes
- Controllability: Precise instructions like "the person turns left and raises the right arm" are often not implemented correctly
- Audio: Video generation and audio generation are usually separate systems
Practical Use Cases
| Scenario | AI Suitability | Why? |
|---|---|---|
| Social media teaser | High | Short, no perfect quality needed |
| Explainer videos | Medium | AI for animation and cutting, script remains human |
| Product demos | Medium | AI for prototypes, final version professional |
| Corporate films | Low | Quality requirements too high for current AI |
| Live streaming | Limited | Real-time style transfer and simple effects possible, but not full real-time generation of complex scenes |
!Deepfakes
AI video technology can also be misused to create deepfakes -- deceptively real videos of people saying or doing things that never happened. Use this technology exclusively in an ethical and transparent manner.
Application
Test AI-assisted video editing on a concrete project: take an existing video (e.g., a screen recording or meeting recording) and use AI for automatic subtitles, cutting, or summarization. Evaluate how much post-processing is needed and where the time savings are greatest.
Reflection
AI video tools are most useful today for editing and optimizing existing videos. Full generation is improving rapidly but is still limited for professional demands. The next section covers AI for audio and music.