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Should Brands Use AI in Video Ads?

1/12/2026

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Image featuring the title text
Learn about the high-stakes decision that most brands haven't fully considered: the hidden cost of "efficient" automation. For modern marketers, the pressure to produce high-volume content is constant, but you are likely facing an impossible choice between production speed and human authenticity. While AI video advertising promises to solve the budget crisis for small businesses, the real question isn't just "can we use it," but rather "under what conditions should we?"

Consider a startup founder who needs ten localized video ads for a social launch by Monday but has a total creative budget of $500. Traditionally, this was impossible; today, AI makes it a reality. However, relying solely on algorithms risks stripping away the very personality that builds a brand.

​As brands navigate this shift, they must prioritize a human-centric video advertising strategy to maintain long-term credibility. "AI improves content creation, personalization, predictive analytics, and marketing efficiency," said Shelley Kohan in "How AI Is Revolutionizing Marketing In 2024: Top 5 Trends" (Forbes, May 19, 2024). This efficiency allows lean teams to compete with global corporations, provided they don't sacrifice quality for the sake of volume.

What the Numbers Say About AI Video Ads vs. Traditional Production

The following metrics highlight why businesses are shifting toward AI video ads, though these gains must be weighed against the risk of creative stagnation.
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  • Time Savings: AI video solutions now save an average of 40% of a marketer's editing time by automating repetitive post-production tasks. (Source: Gartner)
  • Cost Effectiveness: Adopting AI tools has made high-quality production more accessible, with 42% of video marketers now spending between $0 and $500 on an average video. (Source: Wyzowl/HubSpot)
  • Engagement Lift: Strategic use of AI-personalized elements has contributed to a 45% increase in ad click-through rates compared to non-personalized content. (Source: HubSpot)

To understand how these technologies are being managed at a high level, the following video features Liz Reid, head of Google Search, discussing the fundamental shift in how AI-driven content is discovered and prioritized.
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AI in Video Advertising: Balancing Efficiency and Trust ​

The danger of over-automation is the erosion of the brand-consumer relationship. HubSpot’s "2025 Marketing Statistics, Trends & Data" report found that "21% of marketers say short-form videos deliver the highest ROI". However, as the volume of video increases, so does the risk of consumer fatigue.

"Artificial-intelligence tools are more powerful than ever, but they’re creating an internet flooded with low-quality content," said Christine Ji and Britney Nguyen in "AI slop is taking over the internet. And it's here to stay" (MarketWatch, Dec. 29, 2025). This "slop" threatens to bury high-quality video marketing content under a mountain of generic visuals.

As an expert in the intersection of technology and business, Karim Lakhani's perspective is critical for brands weighing the organizational impact of AI marketing tools. To avoid this, brands must treat AI marketing tools as a co-pilot, not the driver. "AI won't replace humans, but humans with AI will replace humans without AI," said Karim Lakhani in "20 Expert Quotes on AI in Content Writing & Marketing" on HBR (2025). Success depends on knowing exactly where the "human" belongs in the loop.

This research from Dr. César Zamudio is specifically relevant to video advertising because it examines how consumer trust fluctuates when viewing AI-generated content. "When tangible elements — like a doctor's office environment — are AI-generated, but the service provider's image is a real picture, trust and ad effectiveness are restored," said Dr. César Zamudio in "Service Ads in the Era of Generative AI: Disclosures, Trust and Intangibility" (Journal of Retailing and Consumer Services, 2025). The research is clear: use AI for the scenery, but keep the people real.

Government oversight is also catching up to the rapid adoption of these technologies. According to the GAO’s "Generative AI Use and Management at Federal Agencies" (GAO-25-107653), "generative AI use cases increased about nine-fold, from 32 to 282" between 2023 and 2024. This surge highlights why brands must stay informed about emerging transparency standards.

Where AI-Enhanced Video Ads Are Showing Measurable Results ​

When used under specific conditions—such as scaling existing creative or personalizing hooks—the results are undeniable.
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  • ROI Leadership: Short-form video remains the gold standard for efficiency, with 21% of marketers reporting it delivers the highest ROI of any media format. (Source: HubSpot)
  • Rapid Iteration: Testing ten different hook variations in the time it traditionally took to film one.
  • Productivity Growth: AI-driven platforms are fundamentally shifting output, contributing to a 35% increase in total video creation across the creative sector. (Source: Accenture)

At Media Works Public Relations, we help brands navigate this delicate transition between human storytelling and machine speed. We focus on ensuring your brand avoids the traps of generic, unvetted automation. Explore our guide on how businesses can use AI without losing trust to see how we maintain this balance.

The infographic below provides a visual framework that helps brands evaluate critical considerations for AI-generated video advertising decisions.
Infographic showing key considerations brands evaluate when deciding whether to use AI-generated content in video advertising.

Meet us in the comments! How are you balancing AI efficiency with the need for authentic human performance?


REFERENCES:
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  • Accenture. (2025). The impact of AI on creative production output. Retrieved from https://seosandwitch.com/ai-video-generation-stats/
  • GAO. (2025, July 29). Generative AI use and management at federal agencies (GAO-25-107653). U.S. Government Accountability Office. Retrieved from https://www.gao.gov/products/gao-25-107653 
  • Gartner. (2025). AI's role in streamlining marketing operations. Retrieved from https://seosandwitch.com/ai-video-generation-stats/
  • HubSpot. (2025, January 10). 2025 marketing statistics, trends & data. Retrieved from https://www.hubspot.com/marketing-statistics
  • Ji, C., & Nguyen, B. (2025, December 29). AI slop is taking over the internet. And it's here to stay. MarketWatch. Retrieved from https://www.marketwatch.com/story/ai-slop-is-taking-over-the-internet-and-its-here-to-stay-ec16798b
  • Kohan, S. (2024, May 19). How AI Is Revolutionizing Marketing In 2024: Top 5 Trends. Forbes. Retrieved from https://www.forbes.com/sites/shelleykohan/2024/05/19/how-ai-is-revolutionizing-marketing-in-2024-top-5-trends/
  • Lakhani, K. (2025). 20 Expert quotes on AI in content writing & marketing. Harvard Business Review. Retrieved from https://hbr.org/2023/08/ai-wont-replace-humans-but-humans-with-ai-will-replace-humans-without-ai
  • Reid, L. (2024, December 19). The Google exec reinventing search in the AI era [Video]. WSJ Podcasts. https://www.youtube.com/watch?v=XMON7wg0rds
  • SEO Sandwich. (2025, July 15). 20 Key AI Video Generation Statistics You Should Know (2025–2026). Retrieved from https://seosandwitch.com/ai-video-generation-stats/
  • Wyzowl. (2025, January 2). Video Marketing Statistics 2025. Retrieved from https://www.hubspot.com/marketing-statistics
  • Zamudio, C. (2025). Service ads in the era of generative AI: Disclosures, trust and intangibility. Journal of Retailing and Consumer Services, 78, 103–115. Retrieved from https://news.vcu.edu/article/2025/07/in-creating-an-ad-using-ai-for-scenes--but-not-people--may-retain-consumer-trust
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