Collaboration between AI and humans:
- Development of workflows that optimally combine AI and human creativity
- AI tools that enhance rather than replace human capabilities, leading to faster adoption
Data availability:
- Access to larger, more diverse datasets for training AI models
- Improved data sharing and collaboration in the industry
Hardware advancements:
- Development of specialized hardware for AI video generation
- Wider availability of powerful GPUs or other AI-optimized processors
These factors could work individually or in combination to accelerate the adoption of AI-generated video. However, it's important to note that acceleration in some areas might be counterbalanced by resistance or slower progress in others, particularly when it comes to creative or highly specialized content where human input is highly valued.