How Gen built a 12-part YouTube series with generative AI in three months
Cybersecurity firm Gen produced a full YouTube campaign - "The Twelve Days of Scam-mas" - entirely with generative AI. Twelve shorts, released like an advent calendar, each one tackling a holiday scam with a mischievous robot character, Deceivus, who is thwarted by Gen's security tools.
The punchline for marketers: what used to take nine to twelve months was done in under three. The team estimates around $1M in production savings - with a clear stance that those savings should be reinvested to push quality and performance higher.
The creative idea: education with a character and a clock
Each short spotlights a seasonal scam: sketchy ecommerce sites, social media cons, and even already-claimed gift cards. The series pairs emotion with utility - it's timely, useful, and memorable, not just another "be careful" email.
This approach feels right for a crowded December feed and helps distinguish Gen's family of brands (Norton, AVG, and LifeLock by Norton) with a lighter, more approachable voice around cyber safety. If your audience faces recurring seasonal threats, this format travels well. For context on holiday scams many consumers face, see the FTC's guidance here.
"AI at the center, humans around it"
Gen's CMO Krista Todd pushes a simple mandate: AI is the core engine, and human strategy and taste shape the final output. That mindset turned a big idea into shippable work - fast.
- Speed: concept to final video in under three months.
- Scale: a 12-episode arc built entirely with generative tools.
- Savings: ~ $1M redirected from production to learning and quality.
How Gen accelerated adoption without losing the plot
- Show-and-tell sessions: teams share what worked, what broke, and why.
- Tool exploration at breadth: 40+ AI tools in rotation, no long contracts, keep what solves real problems.
- Cross-brand collaboration: small teams build, then syndicate learnings across Norton, AVG, and LifeLock by Norton.
- Clear principle on budgets: don't "give savings back" - reinvest in better performance and higher quality.
Why this creative lands
- Emotion + timing: a character (Deceivus) makes risk feel relatable, right when scams spike.
- Utility first: each short teaches one practical behavior to avoid loss.
- Distinctive brand memory: consistent character and tone across episodes creates recall.
- Category contrast: a lighter voice stands out in a space known for fear-based messaging.
A fast, repeatable playbook for marketers
- Pick a seasonal problem your audience actually feels. Keep it narrow and time-boxed.
- Create a simple character or motif as the anchor. Consistency scales faster than variety.
- Write with AI, edit with humans: use generative models for first drafts, then tighten for brand voice and clarity.
- Prototype visually in days, not weeks. Lock tone and format early, then batch episodes.
- Ship like an event: release cadence, clear hooks, and a daily teachable moment.
- Treat savings as R&D: reinvest into testing formats, improving prompts, and upgrading model quality.
Tooling and guardrails that keep you fast and safe
- Stack diversity: keep multiple models and creative tools in play; swap out anything that stalls output.
- Rights and compliance: confirm licenses for voices, music, and imagery; document AI usage where required.
- Brand safety: human review on claims, tone, and character consistency before publishing.
- Knowledge sharing: a short internal debrief after each episode - what to repeat, what to cut.
The leadership message
"AI is going to take your job - it's going to take your job to the next level." That line from Krista Todd sums up the operating model. AI does the heavy lift; humans set the direction, add taste, and push the work from acceptable to memorable.
If you're building an AI-ready marketing team
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The takeaway is simple: put AI at the center, keep humans accountable for strategy and quality, and treat every dollar saved as fuel for the next leap in performance.
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