Podcast Summary: Marketing Against The Grain

Episode: "233M Views in 3 Days: The David Beckham AI Workflow"

Release Date: January 20, 2026
Hosts: Kipp Bodnar (CMO, HubSpot), Kieran Flanagan (SVP of Marketing, HubSpot)
Guest: PJ Ace (AI Advertising Creator, dubbed "Don Draper of AI Ads")

Main Theme / Purpose

This episode dives into how AI video ads are reshaping creative marketing and production. The conversation features PJ Ace, the creator behind viral AI-powered campaigns (notably for David Beckham’s supplement brand and the Kalshi NBA Finals spot), who shares his workflows, insights on building viral AI ads, and predictions about the future of filmmaking and storytelling with AI.

Key Discussion Points and Insights

1. The Impact and Speed of AI Video Ads

• Viral NBA Finals Ad (Kalshi): PJ describes making a contextually relevant ad in two days using AI (02:28), compared to the traditional weeks-long timeline and large teams required pre-AI. The ad's in-the-moment flavor was only possible with generative technology.
• Creativity Unlocked: Real-time ad creation enables unique, culturally contextual content "that you wouldn't have otherwise been able to tell" (03:07, Kipp Bodnar).

"It's speed. That's the beauty of it." (03:39, PJ Ace)

• Hollywood Roots, Florida Flavor: PJ’s distinct storytelling—quirky, recognizable characters from his Florida upbringing—is facilitated and amplified by AI (03:52).

2. David Beckham AI Workflow: From Concept to 233M Views

• Ad Breakdown:
  • High quality, indistinguishable from 'real' productions (05:35, Kieran)
  • 233 million views in 3 days underscores the scaling power of compelling AI-led storytelling (06:34)
• Team Structure: Rather than a solo 'AI whiz', PJ outlines a hybrid workflow with classic film roles: writer, director, cinematographer(s), animator(s), and editor (07:03).
• AI Tools Used:
  • Figma: For laying out storyboards and sequencing scenes (07:50)
  • Ideogram: For generating photorealistic frames with reference inputs—e.g., specific images of Beckham or brand partners (09:36)
  • ChatGPT: For visual language prompting and scripting (10:42)
  • Nano Banana Pro: (Google's Model), for high-quality image generation and character likeness preservation
  • V3/VO3: For turning image sequences into consistent, animated video (12:22)

"It's really taking like a mood board and giving those mood board images to a model... to give you the prompts..." (10:42, Kipp Bodnar)

• Overcoming Production Challenges: Using AI to manipulate perceptions (e.g., making green “gross” and red “healthy” for branding) (11:23).

3. PJ Ace’s Practical AI Admaking Framework: Step-by-Step

• Idea First: The idea and script are still the hardest and most original parts; AI can't (yet) replace true creativity (12:24, Kieran).
• Scene-by-Scene Collaboration: Work with AI tools (like ChatGPT) iteratively—8-second chunks, pairing video descriptions, audio, and reference images for consistency across scenes (13:42).
• Uploading Reference Images: For consistent character/scene look across multiple shots ("ingredients-to-video" vs. simple text-to-video).
• Iterative Refinement: Use upscalers and close-ups for seamless cutting/editing between shots (16:57).

4. Critique & Learning via AI Video Production Attempt

• Kieran demonstrates his AI video (satirical sitcom with ChatGPT as a buddy character), using PJ’s framework (14:01).

• PJ offers live critique, coaching on scene consistency and editing techniques.

  "If you just do a close up, you’ll be all right... you can upload the last frame, say, upscale this and give me a close up..." (16:41, PJ Ace)

• Both highlight current technical quirks—AI struggles with multi-character scene dialogue; the importance of creative workarounds.

5. What’s Next: AI Techniques & Future of Storytelling

• Cutting-edge Tools:
  • Cling 2.6 Motion Control: Allows facial performance-driven animation in minutes (19:22)
  • AI Performance Transfer: Actors can ‘play’ all characters; voices and faces can be reskinned (20:11, 21:24)
• Actor Longevity & Hybrid Productions: Actors can be made younger, play multiple roles, or have their voices remapped (24:52). Hybrid productions (real actors + AI-generated elements) are the near-term future for Hollywood (28:52).
• Democratized Creativity and Hyper-Niche Storytelling: Smaller teams, or even passionate fans, can produce high-quality genre content, informed by deep subject-matter expertise rather than traditional film training (30:09, 30:52).
• Downsides and Risks: “AI slop” (low-effort output) is a real risk, especially for incumbent brands with sacred reputations (39:14).

6. Advice: How to Get Started with AI Video Ads

• Experiment and Play: “Just let your creativity pull you down that rabbit hole.” (31:52, PJ)
• Spec Ads as Calling Cards: Young creators can quickly build a reel and get brands’ attention with imaginative ad samples.
• In-house Benefits: Small, nimble agency teams or in-house marketers can achieve impressive results by storyboarding, scripting with ChatGPT, and sequential image generation (33:12–34:55).
• Streamlined Workflow: PJ’s new approach—create 2x2 shot grids for story and lighting consistency, then crop and animate each for seamless scene-to-scene flow.

7. Cost and Timeline: Old vs. New

• Traditional Video Production: 4–12 week timelines, crews, six-figure (or more) budgets.
• AI Video Production: Single ad costs can start at $10–30k, go up to six figures for full campaigns; an order of magnitude less than pre-AI commercials (36:36).
• Best Fit: Challenger and niche brands excel with boundary-pushing or humorous AI ads; legacy brands face higher hurdles due to entrenched audience expectations (39:14).

"What we're delivering is up against these million-dollar commercials, and it's an order of 10x cheaper." (36:51, PJ Ace)

Notable Quotes & Memorable Moments

• "I made a number of these videos in like two days in my underwear, which is the same outfit I'm wearing right now." (01:27, PJ Ace)
• "The idea and the script are still hard to do... AI models can kind of be a thought partner, but I don't think they can come up with a really great original idea." (12:24, Kieran Flanagan)
• "I always say, like, commercials are like the wedge into production, like the wedge into storytelling... brands, too, when we talk to them, we're like, look, make this funny. Do not make like a dove commercial about moms caring for their kids. That’s not the use case right now with AI." (23:14, PJ Ace)
• "If you have a ton of brand awareness, then you've got to really be careful." (39:14, Kipp Bodnar)
• "You should not should... let your creativity be the thing that pulls you down that rabbit hole." (31:51, PJ Ace)
• "How many shows, like, okay, I'll throw Halo under the bus..." (30:52, PJ Ace)

Key Timestamps

• 02:28 – Building the viral Kalshi NBA Finals ad in two days with AI
• 04:46 – The David Beckham ad campaign: workflow and impact
• 07:03 – Evolving team structure for AI ad production—roles and collaboration
• 09:36 – Using Ideogram and reference images for consistency and realism
• 13:42 – Step-by-step framework for marketers using AI to produce video ads
• 19:22 – Next-gen AI facial animation (Cling motion control demonstration)
• 24:52 – Implications for actor longevity and future hybrid productions
• 30:09 – Democratization and niche storytelling; subject-matter experts become filmmakers
• 36:36 – Comparative costs and timelines: old-school commercial production vs. AI workflows
• 39:14 – Brand fit, risk, and the importance of challenger brands leveraging AI

Tone & Language

The episode is irreverent, high-energy, and packed with inside jokes (“Don Draper of AI ads”), boasting an optimistic take on AI’s impact, balanced with candid critiques. PJ is enthusiastic and transparent, regularly riffing on both the potential and weirdness of the new AI frontier.

Conclusion

This episode provides a dense, hands-on guide to AI video production, punctuated with real-world results, workflow breakdowns, and industry predictions. PJ Ace’s practical, scalable approach demystifies the AI ad creation process for marketers, agencies, and creators—making the case that the creative revolution isn’t coming, it’s already here.

Recommended Actions for Listeners:

• Experiment with storyboarding, ChatGPT scripting, and AI image tools
• Build spec ads for your business or to show potential clients
• Embrace “spec, not sacred” content—especially for challenger brands
• Prepare for continued leaps in AI quality and accessibility in 2026