AI & Machine Learning

How generative AI Is revolutionizing B2B video advertising

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.

The rise of generative AI in B2B video marketing

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:

  • 42% of marketers who produce multiple versions of video ads say audience customization is their top genAI use case. (IAB, March 2025)
  • By 2026, nearly 40% of all video ads will be built or enhanced with genAI; almost double the current share. (IAB, July 2025)
  • 49% of marketers already use AI daily for image and video creation. (Canva, January 2025)

For B2B marketers, this signals a shift from static, one-size-fits-all campaigns to dynamic, role-based personalization at scale.

Why generative AI matters in B2B

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:

  • Scaling ABM campaigns
    With genAI, marketers can quickly generate video ad versions that highlight role-specific benefits—for example, ROI messaging for CFOs, security features for CISOs, and ease-of-use for IT admins.
  • Aligning content to the buyer’s journey
    Instead of producing a single explainer video, marketers can use AI to create multiple versions optimized for awareness, consideration, and decision stages.
  • Accelerating creative testing
    Campaigns targeting multiple industries or segments can be A/B tested faster, with AI producing creative variations in hours instead of weeks.

B2B video ads in the wild

  1. Salesforce – Used AI-assisted video to create industry-specific variations (finance vs. healthcare), increasing engagement with mid-funnel audiences.
  2. HubSpot – Piloted AI-generated video snippets to test messaging with SMB decision-makers before scaling creative spend.
  3. LinkedIn Marketing Solutions – Demonstrated how AI can tailor video ads to job functions (e.g., IT vs. HR leaders), boosting click-through rates and lead quality.

These examples show how AI isn’t just cutting costs—it’s improving message relevance and pipeline influence.

Challenges and guardrails for B2B

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:

  • Message accuracy – In industries like finance, healthcare, or IT, even small errors can undermine credibility.
  • Brand consistency – AI outputs need strict guardrails to match technical tone and authoritative voice.
  • Compliance – Personalization that uses firmographic or intent data must adhere to privacy regulations like GDPR and CCPA.

Best practices for B2B teams creating genAI video ads

  • Map content to the buying committee – Identify CFO, CIO, end-user, and procurement personas upfront.
  • Create AI brand guardrails – Maintain style, voice, and compliance standards with strict prompting and review processes.
  • Pilot with ABM mid-funnel assets – Start where personalization drives the highest return (e.g., explainer videos, product demos).
  • Measure pipeline impact – Go beyond views; track meetings booked, opportunities influenced, and deal acceleration.

The future of B2B video marketing

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.

Final thoughts

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.

Natasia Langfelder
Content Marketing Manager

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.