The aim of this study is to examine the impact of the arrival of AI in the media and entertainment sector.
It seeks to answer the following questions:
- What disruptions can be expected as a result of the arrival of AI in the media sector?
- Which parts of the value chain are most likely to be affected?
- What are the concrete use cases for AI in the sector?
- What developments are expected from these initial applications?
- What are the main benefits and barriers to the use of AI in the media sector?
Table of Contents
Executive summary
1. Context of AI in media and entertainment
- Introduction
- Definition
- Key features
- Disruption
2. AI in production
- Key features
- Use cases
3. AI in Post-Production
- Key features
- Visual effects
- Translation and dubbing
4. Content and asset management
- Key features
- Use cases
5. Content monetisation
- Key features
- Use cases
6. User experience and personalisation
- Key features
- Use cases
7. Conclusion
- Benefits and barriers
Companies Mentioned
- A+E Networks
- Act.tv
- AI Screenwriter
- AI-Media
- Amagi
- Amazon
- American Film Institute
- British Board of Film Classification
- Brut
- CBS Broadcasting Inc.
- Cuebric
- Deepdub
- Disney Research Studios
- Disney+
- Electronic Arts
- Eventage
- EVS
- FOX Sports
- French Rugby League
- Genario
- Kerv
- Lola Visual Effects
- Mirriad
- NBCUniversal
- Netflix
- Newsbridge
- OrangeLogic
- Peacock
- Pixar Animation Studios
- Portland Trail Blazers
- Respeecher
- Runway
- Ryff
- SEED
- Tastemade
- TikTok
- UGCScripts
- University of California
- YouTube
Methodology
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