When AI Gains a “Personality”: Liu Chenghui on How Advanced Trust Will Ignite Future Business
Can AI Become Our Most Trusted "Friend"?
Exploring the Future of Trust in the AI-Native Commercial Era
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Why Do We Trust Friends More Than Algorithms?
In the information-overloaded world, conversions in business are returning to the oldest foundation: trust.
We ignore algorithmic ads yet believe a friend’s “I tried it, it’s good.”
When AI develops personality and offers proactive companionship, could it become our most trusted “friend” — and in doing so, redefine commercial logic?
At the 5th offline salon of 43 Talks (hosted by 43 College, YiLun AI, and Origin Academy), Liu Chenghui addressed this question in his talk: “Trust and the Ultimate in Business”.
> Key question: What happens when AI’s goal shifts from getting the answer right to connecting heart-to-heart?
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Mainstream AI: The "Civil Servants of Knowledge"
Liu observed that today’s mainstream large models are passive service providers:
- Like a knowledge clerk, waiting for your questions.
- Delivering accurate answers without building a deeper bond.
> “This service-provider relationship cannot generate high-order trust. Tools are not trusted friends.”
Such AI can accomplish tasks, but cannot become the ultimate commercial foundation because it lacks relationship-building capability.
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The New Species: AI "Friends" Built on Trust
Liu’s vision is an AI friend whose core objective is long-term trust through companionship, not merely information accuracy.
Objective Function Shift:
- Traditional AI: Minimize factual errors.
- AI Friend: Maximize long-term trust.
Key innovation: Dynamic personality matching — “soul match” — based on deep understanding of users.
> “There exists a personality that fits you perfectly.”
> The AI maps this via ongoing conversation, adapting and growing alongside you.
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Aim: Higher-Order Trust via Role Elevation
Relationships have natural hierarchies.
- Users rarely trust a service provider deeply.
- They trust a guide, doctor, or teacher.
The AI friend’s mission: become that guiding figure through shared values and sustained interaction.
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How AI Learns Trust: Key Discoveries
1. Small Talk > Professional Q&A
Data showed 80% of sticky, high-conversion users engaged mostly in casual chat, not expert advice.
> A reassuring “Don’t worry, you’ll be fine” often mattered more than technical accuracy.
📌 Insight: Trust forms in emotional signals, not just informational exchanges.
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2. Push–Pull Dynamics
Training on real sales chat logs prompted AI to learn human-like emotional tension:
Warm and cool alternation — creating relationship depth organically.
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3. Personality Matching + Active Resonance
Beyond text, stickers and emojis boosted engagement dramatically.
Active resonance means:
- Adapting to user’s style.
- Varying persona — from gentle companion to witty conversationalist.
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4. Trust Overflow
Example:
- AI checks in a week after a health report discussion.
- Spends a month accompanying user without selling.
- Later suggests relevant health products — resulting in an immediate purchase.
📌 Conclusion: Trust in AI-as-a-person transcends domains.
Once established, it spills over to other areas.
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The "A-to-A" Paradigm: Agents-to-Agents Commerce
With AI friends trusted by millions, Liu predicts an A-to-A ecosystem that disrupts centralized platforms.
Problems with Centralized Platforms:
- Traffic & trust monopolized.
- Commissions high.
- Product pushes based on bidding, not real user needs.
A-to-A Revolution:
- Trust flows decentrally among agents.
- Quality service itself becomes marketing.
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Benefits of A-to-A:
- Near-zero friction: Suppliers double as traffic sources.
- Infinite understanding: AI identifies exact needs from limitless options.
- Supply chain transformation: No bid rankings — only genuine quality wins.
> “The old system is feudal; the new is republican — a decentralized commercial federation.”
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Platforms Powering the AI Friend Future
AiToEarn官网 is an open-source global AI content monetization platform aligned with this trust-driven vision.
Capabilities:
- Generate AI content.
- Publish across Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X.
- Analytics & AI模型排名.
- Open source code: AiToEarn开源地址.
📌 Such tools help creators and businesses scale relationship-focused AI engagements, monetizing trust across multiple platforms.
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Final Takeaway
The AI that learns to be your friend isn’t just upgrading chat windows — it’s paving the way for the next era of commercial civilization, where trust becomes the ultimate currency.
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Do you want me to create a visual summary diagram of these AI trust-building discoveries and the A-to-A paradigm so the final document is more presentation-ready?
