Media advertisers see up to 25% higher engagement when delivering custom creative to relevant audiences, yet producing quality video ads traditionally requires weeks of expensive and specialized expertise. Discover the inner workings of Amazon Ads new AI Creative Agent, and how it's transforming the creative process by automating and enhancing the generation of multi-format ads to businesses regardless of their size or creative expertise. Explore how Amazon Bedrock, custom-built ML models, GPUs, and model evaluations are used to orchestrate and generate compelling ad creatives into full video productions with professional voiceovers from conversational natural language, while reducing creative development time.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Multi-format ad generation from natural language briefs. Bedrock + custom ML + GPUs + model evaluations. Voiceovers, full video productions. Democratises ad creation regardless of business size.
Why it matters
Engagement is up to 25% higher with personalised creative. Personalisation is no longer a luxury for advertisers.
The hard parts
Brand-safety in generated content. Trademark and copyright issues.
Playbook moves
(1) Pre-flight every generated asset against brand guidelines. (2) Don't post unchecked content. (3) Build the brand-safety check into the generation pipeline, not as a manual step.
The surprise
Custom ad generation works because the old "one ad, many viewers" model is obsolete. Personalisation isn't a luxury; it's the new baseline. Advertisers without it are ceding measurable engagement.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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