At VIA, we think of AI less like a replacement for creative teams and more like an expanding toolbox. Our AI artists work within a constantly evolving stack of tools — one that changes weekly, sometimes daily — as new capabilities emerge. In many cases, we’re no longer confined to traditional production software alone. Instead, we’re combining established tools with emerging AI systems to achieve results that weren’t previously possible.
Staff Writer
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May 8, 2026
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3 minutes
When it comes to conversations around AI-enabled content in retail video production, there are fair and thoughtful questions that usually follow. Most notably:
“Why are you using AI to make content?”
“What’s the actual benefit to you or your clients?”
Of course, the value of AI in content creation is still not universally understood. And to be honest, that makes sense. There’s a lot of noise right now – AI is being used everywhere, often without clear intention or strategy. In some cases, it’s being used simply because it exists, not because it improves the outcome.
That distinction is crucial.
AI is still relatively new in the creative world, like video production. So it’s worth first stepping back and clarifying what AI-enabled content actually is and what it is not.
One of the biggest misconceptions is that AI “makes” content.
AI tools, no matter how advanced, are still instruments. They require direction, judgment, and craft. This is where the concept of a “human-in-the-loop” becomes essential. Skilled professionals are actively guiding, prompting, refining, and curating what AI produces.
At VIA, we think of AI less like a replacement for creative teams and more like an expanding toolbox. Our AI artists work within a constantly evolving stack of tools — one that changes weekly, sometimes daily — as new capabilities emerge. In many cases, we’re no longer confined to traditional production software alone. Instead, we’re combining established tools with emerging AI systems to achieve results that weren’t previously possible.
The important point is this: AI amplifies creative capability, but it doesn’t replace creative judgment.
Not every part of content production benefits from AI. In fact, forcing AI into a workflow where it doesn’t belong often creates unnecessary complexity without improving results.
Sometimes traditional production methods are faster, cleaner, and more effective. That’s why the best use of AI is selective, not universal.
The real value shows up when AI is used intentionally to solve specific problems, particularly when it enables the creation of assets that would otherwise not exist. That might include generating imagery, enhancing video, or creating voiceover content where recording isn’t feasible or practical.
For example, AI voiceover technology can be used to produce high-quality narration quickly and flexibly, especially when revisions or variations are needed. In situations like this, AI doesn’t replace the creative process — it expands what’s possible within it.
The key question is always:
“Why are we using AI here, and what specific value does it add?”
If that answer isn’t clear, AI probably isn’t the right tool for the job.
It’s true that AI can reduce production time in many cases. And when time decreases, costs often do as well. But framing AI primarily as a cost-cutting tool misses the bigger opportunity.
The more interesting value is not efficiency, rather, its capability. AI allows us to do things that were previously impractical or impossible within traditional production constraints.
For example, imagine a scenario where a brand has a strong product, but the only available photography is outdated or visually unappealing. Traditionally, the options would be limited: reshoot the product, or use subpar assets.
With AI, there’s another path. We can create high-quality, visually compelling representations of that product without starting from scratch. In some cases, this may actually take more time than simply using the original assets — but the end result is significantly more effective.
AI is not just making production faster; in many cases, it’s making the final output better.
As AI becomes more embedded in video content creation, it’s no longer a novelty or experimental add-on. It’s becoming a standard part of the production ecosystem.
That means agencies, creators, and production partners should be able to clearly explain how and why they are using AI in their workflows. Not in vague or buzzword-heavy terms, but in practical, grounded ways tied to outcomes.
If a partner cannot articulate their approach to AI — when to use it, when not to use it, and what value it adds — that’s a signal worth paying attention to. It may indicate they are not fully keeping pace with how modern content production is evolving.
AI-enabled content is still evolving quickly, and so are the expectations around it. The most effective use of these tools is not driven by trend or novelty, but by intention, craft, and clear purpose.
At VIA Productions, we continue to explore and refine how AI fits into a broader creative system designed to produce better, more effective content. Not just faster or cheaper, but more capable.
If you’re interested in exploring how AI-enabled content can help drive stronger performance and more impactful creative, we’d be glad to connect.
