Remi Chauveau Notes
AI‑powered advertising is shifting from disruptive breaks to seamless, personalized integrations, with companies like Tencent, Netflix, Amazon, Google, and Meta embedding tailored brand content directly into media to transform user experience, monetization, and relevance.
Technology 🚀

The Future of Advertising Is AI Generated Ads That Are Directly Personalized to You

3 November 2025
@yury.ai

Tencent just killed traditional ads #AIads #TechNews #FutureOfMedia

♬ original sound - yury.ai

🧩 Echoes of Personalization

Goldstone’s “All I Know” (Laplage & Clem Radio Rework), with its disco‑funk spontaneity and communal energy, mirrors the essence of AI‑generated advertising that is directly personalized to each individual. Just as the song was enriched by voices recorded in Soweto to create a unique, authentic resonance, AI ads draw on personal data to craft messages that feel intimate and tailored. Both the track and the technology embody a shift from generic mass communication to deeply personal experiences—turning rhythm into connection, and algorithms into storytelling.

🎶 🌍 🌀 🤖 🍿 🦄 📺 🕶️ 🚀 🧩 🎪 🎯 📺 🛒 💡 📊 🔊 All I Know - Goldstone (Laplage & Clem Radio Rework)



AI‑powered personalized advertising is rapidly becoming the future of how brands, platforms, and audiences interact.

Tencent’s experiments with embedded ads are part of a much larger wave involving companies like Netflix, Amazon, Google, Meta, and specialized AI studios such as Synthesia, Runway, and Mootion. Together, they are reshaping advertising into seamless, contextual, and hyper‑personalized experiences.

✨ AI‑Powered Personalized Advertising

Advertising is entering a new era where personalization is no longer optional—it’s the foundation. AI is reshaping how brands connect with audiences, turning ads into seamless, tailored experiences instead of disruptive interruptions.

🎬 Rethinking Ads in Video Content

Tencent is reimagining how advertising works by embedding ads directly into video scenes. Instead of cutting away from a movie with traditional ad breaks, AI and computer vision identify objects—a coffee cup, a billboard, a product on a shelf—and seamlessly place brand logos based on viewer location and preferences. The original content stays intact, but what you see adapts to you. Same scene. Different brands. Tailored to each viewer. Tencent is already testing this with Mirriad across millions of subscribers.

🖼️ Same Scene, Different Brands

This innovation means the original content remains intact, but what each viewer sees adapts uniquely to them. One person might notice a local coffee brand on the cup, while another sees a global chain—same scene, different brands, tailored to individual audiences. Netflix is preparing to roll out AI‑generated ads on its ad‑supported tier by 2026, blending commercials seamlessly into shows and movies. Amazon is using AI to personalize podcast discovery and shopping recommendations, while Google’s BERT and MUM models ensure ads align with search intentartformagency.com. Meta is experimenting with generative AI for dynamic ad creatives across Instagram and Facebook.

📈 Benefits Across the Ecosystem

If scaled, this approach transforms three key areas at once: the user experience improves because ads no longer interrupt the flow of a movie or show but instead feel like part of the story; entertainment companies gain new revenue streams without having to alter their production processes; and advertisers achieve greater contextual relevance by matching placements to viewer habits and preferences. At the same time, specialized AI studios such as Synthesia, Runway, and Mootion are democratizing video ad creation, giving brands the ability to generate lifelike avatars, craft localized campaigns, and deliver real‑time contextual ads that adapt seamlessly to different audiences.

🌍 From Interruption to Integration

This marks a shift from interruption‑based advertising to integrated, personalized experiences. AI is not only transforming content creation but also redefining how content is monetized, ensuring that ads feel less like distractions and more like part of the narrative. As Netflix, Amazon, Google, Tencent, and emerging AI studios converge on this model, the future of advertising looks less like commercials and more like personalized storytelling woven into everyday media.

#AIAds 🤖 #PersonalizedMarketing 🎯 #SmartContent 📺 #FutureOfAdvertising 🚀 #SeamlessIntegration 🔗

Dynamic AI Marketplace

The Fragmented Frame Effect
The real disruptive power of Tencent’s AI advertising model isn’t just in personalization—it’s in data sovereignty and regional branding control. By embedding ads directly into video content and tailoring them to each viewer, Tencent and partners like Mirriad are quietly creating a system where brands no longer compete for global visibility, but for hyper‑localized dominance inside the same piece of media. That means a single movie scene could simultaneously serve as a Coca‑Cola ad in Berlin, a local coffee brand in Seoul, and a boutique startup in Paris—all without altering the film itself. This hidden layer suggests that the future of advertising isn’t only about seamless integration, but about turning entertainment into a dynamic marketplace where every frame is contested territory for personalized influence.

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