SizeIM

Emerging Trends in Automated Video Ad Production: Leveraging GenAI for Faster, Scalable Campaigns

The world of digital video advertising isn’t just changing. It’s accelerating at a pace that can catch even seasoned marketers and creative teams by surprise. Generative AI (GenAI) is not just transforming how we ideate and produce video ads—it’s making personalized, scalable campaigns possible at unprecedented speeds. As a team that’s worked closely with digital agencies, designers, and marketers of all sizes, we’ve seen firsthand how leveraging GenAI-driven automation is fundamentally shifting what’s possible for video ad production.

What’s Driving Automated Video Ad Production in 2025?

Video remains the most engaging format for advertising across every major platform, but traditional production faces challenges—high costs, slow turnaround, and the need to quickly scale creative for dozens of platforms and formats. Automated video production with GenAI tackles these challenges by bringing speed, creative agility, and data-backed insights together.

  • Weeks of creative work turn into hours or minutes.
  • Brands achieve message consistency across every platform—from mobile to desktop to social—without manual resizing.
  • Personalization isn’t just a buzzword. GenAI enables video content to adapt dynamically to each audience segment.

How GenAI Supercharges Creative Speed and Scale

The best part about GenAI and responsive design automation is that it fundamentally removes the friction from scaling your campaigns. Here’s how we see this playing out in real-world workflows:

  • AI-Powered Scripting and Storyboarding: Rather than brainstorming endlessly, GenAI tools can scan historic campaign performance, audience sentiment, and current trends to rapidly generate script ideas and storyboards that resonate.
  • Automated Editing and Adaptation: Editing tasks like scene selection, graphic overlays, and color grading can now be handled by algorithms, freeing creative teams to refine rather than repeat manual adjustments.
  • Multi-Variant Generation: One video ad can be adapted in minutes to produce 15+ size variants matching the specs of every major ad network (think 300×250, 728×90, 320×50 pixels and more) via platforms like SizeIM.

A video editor works on dual monitors with headphones, focusing on color correction.

Personalization at Scale: Hyper-Relevant Video Ads Powered by AI

Video ads are no longer just about one message to a broad audience. GenAI allows us to generate variations tailored to the user’s interests, browsing behavior, and even their stage in the buying journey. Imagine launching a display video campaign in 12 languages, adjusting the testimonial or offer for each region, all without the need for dozens of separate creative briefs or tedious editing rounds.

  • Dynamic Content Tokens: Name insertion, personalized offers, and product recommendations happen automatically.
  • Automated Localization: AI-driven translation and adaptation ensure global consistency and local relevance.

Real-Time Optimization and Feedback Loops

Perhaps one of the most empowering shifts for agencies is the ability to optimize live campaigns instantly. GenAI doesn’t just generate creative; it can also monitor performance and suggest (or even implement) real-time adaptations. This creates a true feedback loop, where high-performers are identified, versioned, and redeployed with fresh creative in a matter of hours, not weeks.

  • Auto-adjust bids or creative based on live performance data.
  • Test and deploy multiple variants and turn off underperformers instantly.
  • Monitor KPIs like ad duration, engagement, and conversion in real-time, feeding data right back into the creative cycle.

Responsive Video Design: The SizeIM Approach

We built SizeIM to eliminate the traditional drag of manual resizing (and the compliance headaches that come with it). Everything—whether it’s video, banner, or interactive ad content—starts with a single master design. Then, in just seconds, we can produce every required format for all main ad networks. This means no more repetitive manual design work for each resolution, and a seamless brand experience across platforms.

Woman being recorded in a professional studio setup, using video camera and lighting equipment.

  • Responsive ad production means one video can immediately become display-ready for Google Display Network, Facebook, LinkedIn, TikTok, and more.
  • Consistency in fonts, colors, and branding is handled automatically so agencies preserve brand integrity.

If you want to see why we emphasize a responsive workflow, check out our guide on how responsive design automation can reduce creative production costs for ad campaigns.

How to Take Action: Implementing GenAI Video Automation

  1. Start With a Modular Template: Choose a flexible, brand-approved video template that is designed for easy adaptation.
  2. Feed In Your Brand Assets: Leverage a system like SizeIM for centralized asset management (logos, typefaces, brand colors) so your creative is always compliant.
  3. Select Output Sizes: Instantly generate all ad formats you’ll need to launch simultaneously across different platforms. This is where design automation accelerates your process.
  4. Personalize Dynamically: Set up dynamic data fields for targeted messaging or localization. AI-driven personalization tokens can help you speak to each segment.
  5. Connect Performance Analytics: Integrate with dashboards that allow real-time monitoring and optimization to keep improving on the fly.

Agencies can launch campaigns that might have taken weeks in mere days, even hours, freeing up teams to focus on strategy, creative direction, or broader campaign planning.

What Results Can You Expect?

  • 3–10x faster turnaround for new video creative (compared to manual approaches).
  • Significantly lower production costs per campaign by eliminating redundant tasks.
  • Consistent brand voice and visuals across every channel.
  • Improved ROI: Marketers find personalized video ads can drive 15–30% higher engagement and conversion rates over generic messaging.
  • Easy scaling to new channels: Adding a new network or testing new formats becomes as simple as pressing ‘generate’.

Looking Ahead: Where Are We Going Next?

The adoption of generative AI in video ad production has only just begun. As machine learning models become more sophisticated, we expect to see:

  • Real-time creative adaptation based on direct user interaction or environmental signals.
  • Simpler, conversational interfaces that let marketers direct campaigns through natural language prompts.
  • Unified automation of all ad assets—video, banners, and even interactive elements—built from the same source template for instant cross-channel deployment.

For agencies and brands alike, the tools you adopt now will determine how quickly you can respond to market change and consumer demand. Platforms like SizeIM put power directly in your hands to design once and adapt instantly.

Close-up of a smartphone displaying an inspirational message against a video editing background.

Additional Resources: Deepen Your Workflow Automation Knowledge

Ready to Take Your Video Ad Production Into the Future?

Whether you’re a digital agency, marketing team, or designer looking to break out of manual production bottlenecks, embracing GenAI for video ad production will be essential to future-proof your campaigns. If you’d like to see how responsive ad design automation can free up your team and maximize campaign impact, explore SizeIM or book a demo to get started.

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