# **Xinzhiyuan Report: AI for the 99.5%**
## Introduction — Moving Beyond the AI Elite
> **The real era of AI transformation will only arrive when adoption and application density dramatically increase.**
> The future of AI is not about serving the top 0.5% of power users, but about meeting the everyday needs of the remaining 99.5% of people.
In the much-anticipated **“AI Year” of 2025**, the majority of people worldwide still **do not enjoy the full productivity benefits of AI**. Public perception swings between extremes — *tech frenzy* vs. *bubble burst* — yet a deeper issue remains:
- **AI’s resources and influence are concentrated in a handful of nations and tech giants**
- At a user level, this concentration is creating a stronger *Matthew Effect* — where benefits are unevenly distributed
Bruce Yang, Ph.D. in AI (National University of Singapore) and founder of **Agnes AI**, offers a different vision:
**Technology should be a bridge to the world, not a high wall.**
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## The Birth of Agnes AI — Targeting Long-Tail Users
In late 2025, Bruce launched **Agnes**, an “AI for Everyone” platform rapidly scaling across **Southeast Asia, Latin America, and the Middle East**.
**In just 2 months:**
- **3 million** new registered users
- **200,000+** daily active users
- Growth rate surpassing early Instagram & Snapchat
- Strong retention: 4th week **40%**, 8th week **30%**
- Customer acquisition cost: **<$0.20**
- Valuation of parent company **Sapiens** exceeds $100M
Instead of targeting enterprise customers or highly skilled professionals in developed markets, **Agnes focuses on “AI long-tail users”** — everyday people in emerging markets who have been largely ignored.
The mission: **Make advanced AI accessible and meaningful for forgotten users.**
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## The Current AI Gap — Adoption Concentrated Among the Few
Today’s AI industry is generating **a widening efficiency gap**:
- Benefits are concentrated among “strong players” with resources & skills
- **99% of people remain on the sidelines**
**Example — ChatGPT:**
- 600–700M weekly active users worldwide
- Paid subscribers ≈ 0.5% of the global internet population
- Average visit duration: **14 minutes**
- Contrast: WeChat/Douyin average usage is **several hours daily**
**Bruce’s insight** (CITIC podcast):
AI adoption appears high, but the **depth of integration into daily life is shallow**.
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## Breaking Barriers — Infrastructure for the 99.5%
Platforms like **[AiToEarn官网](https://aitoearn.ai)** illustrate how AI can bridge this gap:
- **Global AI content monetization** for creators
- Integrated **AI generation → publishing → analytics → model ranking**
- Seamless publishing to Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X (Twitter)
- Converts AI creativity into **sustainable income streams**
Agnes’s approach aligns with such infrastructure — combining top-tier AI capabilities with **inclusive, accessible delivery models** for underserved regions.
---
## Everyday AI — Integrated into Life, Not Just Work
Agnes positions itself as **“agentic AI for all”**:
- **Fast, easy, and cost-effective AI** for the forgotten 99.5%
- Embedded in emerging markets (SE Asia, LatAm, MENA)
- Blends **productivity tools** with **social entertainment features**
- Supports **AI search, research assistance, image/video generation, PPT creation, data analytics** — all in one workflow
**Key Features:**
1. **High-frequency, high-stickiness usage**
2. **Generous free quotas for advanced capabilities**
3. **Long-term memory** — learns and adapts to individual users
4. **Localized language understanding** — captures nuance, humor, emotion
Bruce’s core belief:
> AI should be a companion — helping people learn, communicate, create, and connect — not just a work tool.
---
## Serving “AI Long-Tail Users”
Challenges in emerging markets:
- High subscription costs for major models
- Poor local language support & cultural fit
- Lack of tailored features for daily social life
Agnes’s differentiators:
- **Localized AI-native social experiences**
- **Companionship + entertainment + productivity** in one platform
- Exponential usage growth post “AI + social entertainment” updates
- **Hours per day** engagement from active users
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## Technological Backbone — Agile Self-Development
Agnes’s strength comes from **homegrown model development**:
- Team of ~150 (from MIT, Stanford, UC Berkeley, UT Austin, NUS, NTU)
- Strategy: **Multiple efficient small models** instead of giant models only
- Proprietary **7B parameter AgnesR1 model** already in commercial use
- Research & rollout of models ranging up to 30B parameters
**Advantages of this approach:**
- **Faster inference**
- **Lower token cost**
- **Higher output quality**
- **Scalable reinforcement learning without collapse**
This agile model ecosystem supports:
- **Multi-agent collaboration**
- **Agentic Office System (AOS)**
- Regional LLMs tailored for SE Asia & LatAm
---
## Market Impact — First-Mover in Emerging Regions
Results:
- **Top 10 in Google Play Productivity charts** in multiple countries (Singapore, Vietnam, Philippines, Indonesia, Argentina)
- Strong **user loyalty** & organic growth via referrals
- Closed-loop growth flywheel:
1. User acquisition
2. Product optimization
3. Monetization
- Amplifying effect as **AI infrastructure costs decline**
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## Conclusion — From Red Oceans to Blue Oceans
Bruce and the Agnes team are **rewriting the AI growth narrative**:
- Avoiding saturated “red ocean” enterprise markets
- Targeting vast **blue oceans** among underdeveloped mass markets
- Bridging global AI innovation and **inclusive accessibility**
**In parallel:** Platforms like **[AiToEarn](https://aitoearn.ai/)** extend this mission to the creator economy — turning AI into a sustainable, everyday resource for millions worldwide.
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