A campaign gets approved on a Monday. The offer is time-sensitive, the audience is defined, and the brief is tight. A video would be the strongest way to deliver it, but you don’t have three weeks to make one. So the video gets cut from the plan, or it ships late enough that the offer has already changed by the time it’s ready. Either way, the production timeline decided the outcome before the campaign even launched.
AI-assisted video creation is helping solve this problem, and more marketing teams are taking advantage—jumping from 51% adoption to 63% in a single year, according to Wyzowl’s 2026 State of Video Marketing report. So if your team has an AI video marketing strategy, you’re now in the majority. If your team is not using AI to accelerate video for campaigns? Now is a great time to start.
Key takeaways
- AI-assisted video adoption reached 63% of marketers in 2026, up from 51% the year before, per Wyzowl.
- SundaySky customers have cut production time by up to 75%. One team produced more than 130 videos in a single quarter with no dedicated video team.
- Companies that excel at personalization generate 40% more revenue from those activities than average performers, according to McKinsey.
- SundaySky users running personalized video campaigns to their customers have seen results: a 401(k) provider saw a 522% lift in monthly contributions and a 104% lift in average funding amount.
Why campaign delays cost more than a missed deadline
Most video campaign timelines break in production, where a project has to pass through scripting, shooting or sourcing footage, editing, and a round or two of revisions before the content is ready to publish. Every one of those steps takes calendar time, and calendar time is the one thing a time-sensitive campaign can’t get back.
It’s why so many are eager to adopt AI into their video production cycles; the traditional video production timeline no longer matches how fast campaigns need to move. A product change, a competitive response, a seasonal window: these all have shelf lives of days over weeks and months.
Where AI video marketing tools remove time from production
For marketing teams, AI can help accelerate content creation in a number of ways. Here are just a few examples.
Scripting starts from the brief, not a blank page
AI video tools can generate a first-pass script or storyboard directly from a campaign brief, a product document, or existing marketing copy. Your editors still shape the final version, but they’re editing a draft instead of writing one from scratch, which removes the slowest part of the writing process and the part most likely to bounce between stakeholders for approval.
Voice and narration without a studio booking
AI-generated voiceover removes the scheduling dependency on a voice talent or recording studio. A script change that used to mean re-booking a session now means regenerating the audio, which turns a multi-day turnaround into same-day iteration and keeps a late-breaking edit from pushing the whole launch date.
Custom visuals without a production shoot
An AI media generator can produce original images and short video clips directly from a text prompt. When no stock asset fits a scene, an editor no longer needs a photo shoot, a design budget, or a search through a stock library that doesn’t quite match the brief; they describe what the scene needs and generate it.
Combined, these capabilities unlock AI video marketing by compressing the whole production cycle. Using SundaySky’s enterprise video platform:
- A major credit union documented up to 75% production time savings; a major retailer produced more than 130 videos in a single quarter with no dedicated video team on staff.
- Across the platform, customers report production timelines up to 7x faster and production costs cut by as much as 90% compared with traditional video production
Add it all together, and a video timeline that used to run three weeks can realistically run in three days (or less). That’s a genuine operational win for any marketing team.
Watch now: SundaySky’s enterprise platform for video personalization and AI
See what these efficiency gains look like in practice: explore real SundaySky customer results across production time, cost, and output. See customer results →
How personalization turns a fast video into a converting one
Personalization is the next step, and what sets a video campaign that performs apart from one that simply ships on time. According to McKinsey, companies that excel at personalization generate 40% more revenue from those activities than average performers, and the effect compounds: personalization most often drives a 10% to 15% revenue lift on its own, with the largest gains going to companies whose customers can see their own data reflected to them.
What SundaySky sees right now is a shift in how marketing teams evaluate video tools. Buyers increasingly ask whether a platform can handle both the fast creative work—enriched by AI—and the personalization all at once. That distinction matters more than either capability on its own.
See how real-time personalization actually works: SundaySky Create renders an individually unique video for every viewer from live customer data, with no pre-built segments and no manual file management. Explore personalization in Create →
Ready to see it in action?
Book a demo to see how SundaySky pairs rapid production with dynamic personalization to power AI video marketing, so your team can move faster and still send something worth watching once it arrives.
