Predicting exactly how post-production will evolve in the next 10 years is challenging, but we can
speculate based on current trends and the potential capabilities of AI technology. Here are some ways in which AI might significantly impact post-production in the next decade:
Automated Editing: AI could take over routine and time-consuming tasks in the editing process. It might help in organizing footage, selecting the best shots, and even assembling rough cuts of videos automatically. This could significantly speed up the editing process and free up editors to focus on more creative aspects.
Enhanced Visual Effects: AI-powered tools can generate more realistic and detailed visual effects. Deep learning models can predict how light interacts with objects, leading to more accurate and convincing CGI and compositing. This could lower the costs and time required for creating complex visual effects.
Realistic Dubbing and Voiceovers: AI-generated voice synthesis could provide high-quality dubbing and voiceovers in multiple languages, enhancing accessibility and making it easier to adapt content for global audiences.
Colour Correction and Grading: AI algorithms can already assist in automating colour correction and grading. Over the next decade, these tools could become more sophisticated, allowing for quicker and more accurate adjustments to achieve the desired visual aesthetics.
Content Restoration: AI could play a significant role in restoring old or damaged content. By analyzing existing frames and extrapolating missing information, AI models might be able to reconstruct missing scenes or improve the quality of deteriorated footage.
Customisable Soundtracks: AI might be able to analyse the emotional tone of a scene and automatically generate music that complements it, providing a more immersive and tailored audio experience.
Storytelling Assistance: AI might help in identifying pacing issues, continuity errors, or other storytelling problems by analysing the flow of the narrative and suggesting improvements.
Efficient Rendering: Rendering, which is often a time-consuming process, could be optimized using AI algorithms that predict how scenes will look after rendering and reduce the number of iterations needed.
Content Personalisation: AI could be used to tailor content for individual viewers, making adjustments to visuals, sound, and even pacing based on the viewer's preferences.
Collaboration and Remote Work: AI could enable more efficient collaboration among remote teams by automating certain tasks and providing real-time feedback during the editing process.
It's important to note that while AI has the potential to revolutionize post-production, there will likely still be a need for human creativity, expertise, and decision-making. AI tools are tools, and their effectiveness depends on how they are integrated into the creative process.