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AI can generate a video in minutes. Making it usable is the hard part

Generative AI has made video creation remarkably fast. A scene that once required a camera crew, actors, locations and hours of post-production can now begin with a prompt and an idea. But after working with AI-generated cinematic videos, I have learned that generating a video quickly and producing a video that is actually usable are […] The post AI can generate a video in minutes. Making it…

AI can generate a video in minutes. Making it usable is the hard part

Generative AI has revolutionized video creation, allowing scenes to be produced rapidly with a simple prompt. However, the ease of generation does not equate to usability. A high-quality AI-generated scene may still contain errors, such as misplaced objects, inconsistent characters, or inaccurate environments. These issues can render even visually impressive footage unusable, particularly when depicting real-world locations or branded content.

Consistency across multiple shots is another significant challenge, as small changes in characters, objects, or lighting can disrupt the overall narrative. This shift in the creative process requires creators to focus on continuity and define what elements must remain constant versus what can vary. Prompting AI for cinematic content now involves specifying a wide range of factors, from camera movements to visual style and timing, effectively turning creators into virtual production directors.

Despite AI's ability to generate multiple alternatives swiftly, human judgment remains crucial in determining which results are truly usable. Factors like natural movement, accurate locations, consistent characters, appropriate camera work, and correct branding must all be evaluated. As a result, AI-generated video is not a direct replacement for traditional creative work but rather a tool that alters the workflow, demanding more time spent on defining ideas, reviewing generations, and making final decisions.

Businesses should consider not just the speed of generation but also the number of iterations needed for usability, consistency across characters and environments, the necessity for human review, and whether the technology can effectively convey the intended message and align with brand standards.

Written by urgent.news from e27's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at e27.co →

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