The challenges B2B marketers face are unique: long buying cycles, multiple decision-makers, and the pressure to personalize messaging for diverse stakeholders. Video has always been one of the most effective tools for engaging buying committees. However, creating tailored versions for different industries, roles, and funnel stages has traditionally been time-consuming and expensive.
That’s changing with generative AI (genAI). From account-based marketing (ABM) to lead generation campaigns, B2B marketers are using AI to scale video personalization, reduce costs, and accelerate campaign speed—without sacrificing quality.
Generative AI is being utilized in every area of marketing, and video is no exception. Recent studies are showing that genAI is being embedded into B2B marketing workflows:
For B2B marketers, this signals a shift from static, one-size-fits-all campaigns to dynamic, role-based personalization at scale.
As we mentioned before, B2B marketers face unique challenges from their B2C counterparts. B2C marketers might be able to get away with targeting broad consumer groups, but B2B marketing requires precision. Generative AI helps by:
These examples show how AI isn’t just cutting costs—it’s improving message relevance and pipeline influence.
While genAI accelerates personalization, it’s not always a field of roses. Like all creative, genAI videos need to be carefully vetted by human eyes before being released into the world. B2B marketers also have unique risks:
The adoption curve is steep: by 2026, nearly 40% of video ads will use genAI. Mid-market B2B firms, often resource-constrained, are likely to benefit the most from AI’s ability to compete with enterprise players on creative quality and speed.
The takeaway is clear: AI-driven personalization will soon be the baseline in B2B video marketing. Teams that adopt now will not only save time and money but also earn a competitive advantage by delivering tailored, relevant messaging to every stakeholder in the buying committee.
Generative AI isn’t just changing how video ads are made; it’s changing how B2B marketers engage decision-makers. In an environment where relevance and efficiency win deals, genAI is emerging as a must-have capability for ABM, lead generation, and buyer engagement strategies.
The question isn’t whether your B2B team should use AI in video advertising; it’s how fast you can integrate it into your campaigns. Want to learn more? Get in touch.
As Content Marketing Manager, Natasia is responsible for helping strategize, produce and execute Data Axle's content. With a passion for writing and an enthusiasm for data management and technology, Natasia creates content that is designed to deliver nuggets of wisdom to help brands and individuals elevate their data governance policies. A native New Yorker, when Natasia is not at work she can be found enjoying New York’s food scene, at one of NYC’s many museums, or at one of the city’s many parks with her two teacup yorkies.