One Brief Awakens Eight AI Agents: A New Era for Advertisers | 43 Talks
AI Reshaping the Marketing Industry
The wave of AI is driving a deep structural transformation in marketing.
At the 43 Talks 5th Speculative Salon — AI Marketing Session, co-hosted by 43 College, Yilun AI, and Origin Academy, the first guest speaker — David Chu, CEO of Zhiwei Jianxing and founder of the native AI marketing app ADGo — shared his two decades of advertising experience. Using that timeline, he reviewed technology’s evolution in marketing and illustrated how AI is rewriting the fundamental logic of advertising companies.

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When Creativity Meets AI: Advertising’s New Algorithm
David Chu has witnessed every major industry shift in the past 20 years:
- Pre-Internet Era – TV ads and print media dominated; a single slogan or concept could anchor a campaign.
- 360° Integrated Era – A core creative idea paired with multimedia outreach formed a communication “surround.”
- Internet Rise – Distribution shifted from one-way to interactive, enabling advertisers to track user behavior.
- Social Media Era – Influence shifted from institutions to individuals; personal IP and influencer marketing emerged, making content creation a continuous real-time battle.
- Mobile-Centric Media – After 2005, smartphones became the main screen; precise targeting, algorithmic recommendations, livestream commerce, and integrated e-commerce loops boosted instant conversions.
> Then vs. Now:
> Golden Age: “A slogan and a TV spot.”
> Today: “Real-time collaborative systems powered by technology.”
Key Insight: Technology has improved communication efficiency across creative production, distribution, data feedback, and strategy optimization — but faster visual creation is not automatically better marketing.

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Generative AI & the “Good-Looking vs. Effective” Gap
Generative AI allows anyone to create polished images without detailed crafting — just input goals or style, and assets are auto-generated.
David Chu’s caution: Good-looking isn’t always effective. Strategy and creativity bridge that gap.
Core marketing principles remain unchanged:
- Persuasion
- Emotional impact
Visuals are the medium — sustainable business is the destination.


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After Traffic Fatigue: Retaining Brand Mindshare
When SMBs faced prohibitive costs from traditional ad firms, many switched to quick-hit traffic tactics. The 2019–2020 traffic boom bred “traffic teams” focused solely on short-term ROI — sidelining brand building.
Consequences:
- Replication became easier, competition fierce.
- Severe homogenization.
- Rising costs and “race to the bottom.”
Now, a shift is underway:
- Top brands return to “Brand Justice” — fighting for mindshare over sheer traffic.
- Big Data Linkage: Brand perception now quantifiably connects to sales.
- Goal: Earn the Mindshare Dividend — be remembered, differentiated, and valued at a premium.
> More brands embed story + viral energy into every channel to sustain identity.

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The Challenge
Brand building is system engineering:
- Requires market understanding, creativity, and emotional resonance.
- SMBs lack manpower and budgets to close loops from strategy to execution.
The AI Opportunity
What if an entire 8-person campaign could be executed by intelligent systems?
If tech can comprehend brand logic, decompose tasks, and synthesize solutions, we have true marketing reconstruction.
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One Person as an Entire Advertising Agency
Solution: Multi-Agent Collaboration systems.
Platforms like AiToEarn官网 enable creators to generate, publish, and monetize AI-powered multi-platform content (Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X).
Traditional model:
- 8–10 professionals, two–three weeks, hundreds of hours.
Multi-Agent model:
- Strategy experts, creative directors, planners, visual directors — embodied by specialized AI Agents.
- Structured frameworks drawn from proven agency methodologies (influencer matrix campaigns, livestream sales, IP co-branding, social amplification, KOL placements).
- System auto-selects “expert agents” for each task.
Result: Human–AI collaboration raises the ceiling for capability, eliminates bottlenecks, and creates an on-demand expert team in the cloud.


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Case Study: Pet Food Brand
The Challenge
A pet food entrepreneur with a premium-quality factory wanted to justify higher pricing.
Traditionally, this means expensive, long processes: interviews, research, competitor analysis.
The Multi-Agent Solution
A simple input activated the “market launch acquisition strategy” methodology:
- Pinpoint differentiated value.
- Identify user insights.
- Analyze competitor narratives.
- Locate market gaps.
- Build a persuasion path for premium pricing.
Key Insight:
- “Human-grade” quality sounded too generic.
- Reframe to emotional truth: Pets are family.
- Positioning changed to “Family-grade care.”

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Execution Plan
- Lifestyle narrative: “Pet dining table as centerpiece of refined living.”
- Social hook: Treat pets like children — enabling “identity markers” and viral sharing.
- Inverted-pyramid influencer matrix:
- Top-tier: Phenomenon-level events.
- Mid-tier: Community penetration.
- Niche: UGC virality.
Output:
- In one hour, a solo operator + AI produced a 15,000+ word integrated plan (strategy, creativity, comms, execution).

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Lessons Learned
AI’s value: Discovering persuasion logic — connecting rational product strengths to emotional, socially shareable narratives.
> Marketing is now an inference engine — from business logic to mental resonance.
> The super-individual is backed by a team of intelligent agents.


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The Human Edge in the AI Era
With AI democratizing content creation, what defines distinctive creativity?
Platforms like AiToEarn官网 complement multi-agent strategies — enabling synchronous creation, publishing, analytics, and monetization across major channels.
Efficiency is abundant; insight and values remain rare.
AI can speed the route to users’ minds, but only brands with clarity and authenticity can reach their hearts.
Join 43 Talks to explore:
- How AI reshapes creativity and strategy
- What still moves people in a tech-driven market

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About 43 Talks

This session included two additional guest speakers — future releases will share their insights. Stay tuned.
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AI + Strategy = Monetizable Creativity
As AI scales content generation and distribution, platforms like AiToEarn官网 help creators blend AI generation with strategic publishing — across Douyin, Kwai, Bilibili, WeChat, Rednote, Facebook, Instagram, YouTube, and more.
Integrated stack: Creation tools + analytics + model rankings = smarter monetization of multi-platform AI creativity.