Veo 3 and generative AI: scaling video production through automation

The global content economy is increasingly driven by video. Currently, brands, media companies, and digital platforms are required to produce and publish large volumes of video content at high frequency, across multiple channels and customized for different markets. However, traditional video production workflows struggle to scale due to time, cost, and operational constraints.

High costs, long production cycles, and limited flexibility make it difficult to support editorial plans in continuous publishing, fast iteration, and large-scale localization. As a result, many organizations are turning to automated video production and generative AI video tools to rethink how they create, adapt, and distribute content.

Scaling video production

Scaling video production introduces structural challenges. Each new market traditionally requires localized casts, reshoots, new locations, and dedicated production teams, multiplying costs and timelines.

In this context, automated motion graphics production represents a fundamental shift in how video content is generated nowadays. Forward-looking organizations are adopting automated video production technologies to manage end-to-end production and communication pipelines.

A concrete example is a  solution a leading Italian weather service adopted, leveraging data-driven motion graphics systems to automatically generate forecast videos directly from structured weather data. These videos are distributed across social media platforms, ATL environments such as airports and subway screens, and proprietary digital channels. 

Advanced technologies like Kiuu, a proprietary solution developed by The Visual Agency (part of BIP Group), enable the entire workflow, from data ingestion to rendering and publishing; a fully automated, seamless, and continuous model that demonstrates how data-driven automated video production can transform content operations.

Generative AI video and the role of Veo 3

Recent advances in generative AI video production have dramatically expanded what automation can achieve. AI video engines such as Google Veo 3 have brought AI-generated video quality close to cinematic standards.

Veo 3 now supports:

• Cinematic-grade 4K video output

• Advanced color correction

• Realistic audio effects

• AI-generated voice-over with lip sync

• Fine-grained control over lighting, shadows and camera movement

These capabilities enable AI video production to meet the visual quality of traditional filming, while offering speed, flexibility, and scalability.

AI Video localization use case for a global brand

Within this highly competitive and fast-evolving landscape, Datwave actively researches and develops projects leveraging generative AI and automated video production technologies.

For an industry-leader Italian brand, Datwave adapted an existing advertising campaign, originally produced for the Italian market, into multiple localized versions for international audiences. Instead of reshooting the commercial, the project leveraged AI video generation workflows powered by Gemini and Veo 3.

Characters were regenerated to reflect local cultural traits, fashion styles, and physical features, while environments and locations were adapted to each target market. At the same time, the campaign’s visual identity remained consistent: warm interior lighting, ambient atmospheres, wide-angle lenses, and coherent framing ensured brand continuity across all versions. 

Cinematic control through structured AI prompting

The AI prompting process was designed to mirror a professional film production pipeline. Each scene was defined through structured prompts resembling storyboards and production notes, specifying:

• Character behavior and actions

• Camera angles and lens choices

• Lighting setup and mood

• Audio and voice-over elements

This approach ensured high creative control while preserving the speed and scalability of AI-driven video production, demonstrating that generative AI video can support both creative excellence and operational efficiency.

Business impact of AI video production

The adoption of AI-powered and automated video production delivered measurable  benefits across production efficiency, creative control, and market scalability:

• Replacement of traditional shooting phases, eliminating the need for physical sets, location filming, and complex production crews with near-zero operational constraints, minimizing issues related to location scouting, casting, travel, and on-set coordination;

• Shorter pre-production timelines, enabling more iteration cycles;

• Cost efficiency at scale, allowing multiple localized versions without proportional budget increases;

• Visual consistency, preserving the creative direction of original shot in terms of lightning, color correction, camera language, and overall visual identity across markets;

• Scalable AI video localization workflows, with successful adaptations tested for the United States, Latin America, and Turkey;

• Faster A/B testing, supporting rapid A/B testing of narratives, formats, and cultural variations.

Why Datwave?

The combination of automated data-driven motion-graphics and and AI video production will represent more than an incremental innovation. It is a paradigm shift in how visual communication is designed, produced, and scaled. Organizations that begin experimenting today will build the internal capabilities, governance models, and creative confidence required to lead tomorrow’s content ecosystems.

Organizations that start adopting AI video production today will build the capabilities, governance models, and creative confidence needed to lead future content ecosystems.

Datwave supports companies through pilot projects and scalable solutions that deliver immediate value while laying the foundation for long-term transformation. From data-driven automated motion graphics like Kiuu to AI video production with Veo 3, we help organizations turn emerging technology into a concrete and sustainable competitive edge.

Author

Matteo Bonera | Creative Director @The Visual Agency | BIP xTech

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