Article summary:

This blog provides insight into how AI is converging the previously distinct phases of image, animation, and video creation into a connected process, resulting in fewer handoffs and more consistent visual styles. It also discusses where this trend is currently being adopted, as well as its advantages (time/speed, cost, iteration) and potential drawbacks (quality control, originality).

Introduction

Creative work used to take place in silos. Designers worked on static images in one application, animators imported those images into a different program and turned them into moving pictures, and then, finally, video editors took the animated images and imported them into yet another program where they formed the video.

This has begun to change, thanks to AI technologies. The traditional approach to creative work was based on the handoff between different specialists who used different programs to make changes that were needed

What’s Changing With Generative AI for Design and Animation

Creative production tools that make use of generative AI are beginning to make it possible to produce images, animations, and video from the same prompt or reference asset.

This makes it possible to move from concept image -> animation -> video within the same environment, minimizing the need to transition between programs and rework assets in new formats.

Consistency of style is easier to achieve when working in such an environment, since the same underlying engine is responsible for rendering a variety of different media.

It also makes it easier to iterate and experiment, since changes can often be implemented much more quickly than would be the case when working with more traditional tools.

Marketers are already making use of such approaches to turn product photos into animations and video content without having to brief separate specialists on the same task. Game developers are experimenting with similar approaches to prototyping, moving character designs from image to animation to prototype test footage with minimal modifications to the initial concept. Small creative agencies, including those that specialize in brand development (such as Digiladder), have begun to adopt these tools and approaches in order to begin offering image + animation + video services as a single end-to-end production service.

Why This Matters for Creative Teams

These tools and the approaches that they make possible have the potential to disrupt creative production in a number of different ways.

Lower production costs

Thanks to reduced handoffs between different specialists and tools. Projects that would have taken months to complete (concept -> animation -> video) can now be completed in days.

More time for iteration and experimentation

Because changes can be rapidly implemented and previewed, teams have more opportunities to experiment with different approaches and test out new concepts.

Time to market for new concepts and campaign launches is greatly reduced

Thanks to the combination of reduced production time and reduced iteration time, teams can begin launching individual project elements much sooner after initial concept design.

The Risks and Challenges of Unified AI Media Production

Loss of creative edge

Speed and reduced costs can come at the expense of quality, so it’s important for teams to recognize that fast iteration and production can enable a race to the bottom in terms of quality.

Rights and originality concerns

Using a single engine for image, animation, and video production can raise questions about intellectual property and originality, especially when it comes to marketing and advertising.

Reduced specialization

The traditional division of labor between illustrators, video editors, animators and others is being undermined, as these fields converge under the umbrella of image/animation/video production with AI.

Where Things Are Going

The future looks like consolidation. Images, animation and video are no longer seen as fundamentally different media types that require entirely different sets of skills and tools. Instead, they’re being unified under a single set of tools that are streamlined, efficient, and make use of AI to accelerate production.

Teams and companies that embrace this change and streamline their workflows around this new set of tools will find themselves ahead of the competition, while organizations that resist the change and continue to operate as they have for years to come will struggle to keep up with the changes.

FAQS

1. What does it mean for AI to unify images, animation and video?

It makes it possible to use the same engine to generate all three types of media, which reduces the need to rebuild projects from scratch multiple times and minimizes differences between different media.

2. Does this mean that illustrators, animators, video editors, and others will become obsolete?

Not necessarily. Instead of being specialists who only work with one particular media type, they can take on more varied roles in media production.

3. Can video created with AI be considered high quality?

It can and it can’t. It depends on the individual case, as well as the tools used and the specific application.

4. Which industries stand to benefit the most from the ability to unify images, animation and video? 

Marketing and advertising agencies, as well as game developers, are seeing the most immediate benefits from the ability to unify different media types.

5. What’s the biggest risk associated with unifying images, animation and video with a single set of tools?

There’s a risk that different media will become homogenized, especially when it comes to marketing and advertising.