# AI Architecting the Future: Why Everyone Must Become an "Architect"
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## đ Table of Contents
1. **Starting from Architecture**
2. **The Evolution of AI Architecture**
3. **A Glimpse into the Future World**
4. **Everyone as an âArchitectâ**
5. **Conclusion: Why Everyone Must Become an âArchitectâ**
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## Introduction
The **rapid iteration of AI technology** has dramatically improved efficiency in countless industriesâyet it also raises the threat of **job displacement**.
From **monolithic applications** to **cloud-native architectures**, and now to the **AI era**, the transformation over the past decade has been remarkable.
**Key Question:**
How will the **existence** and **responsibilities** of architects evolve alongside this progression?
This article â originally titled *"The Future of AI Architecture"* â examines this shift and its profound implications.
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## About the âTencent Cloud Architects Technical Allianceâ
The **Tencent Cloud Architects Technical Alliance** is a **professional community** for elite practitioners and renowned experts in architecture.
**What it offers:**
- Industry-leading **technical exchanges**
- Deep-dive **professional discussions**
- Authoritative content
- Constant **co-creation** and growth opportunities
**Goal:** Support the development of every architect in China.
**Join by scanning the QR code:**
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## Childhood Inspiration
As a child, I was enchanted by **science fiction** â Ye Yonglieâs *1961* novel *"Little Smart Travels to the Future"* depicted hovercrafts, automatic seeders, mobile phones, and robotic waiters.
Most of these are **now reality**.
The explosive growth of **generative AI** over the past two years feels equally magical. New technologies arrive daily, offering glimpses into tomorrow.
Soâwhy call it **AI âArchitectingâ the Future**?
Letâs first explore **architecture itself**.
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## 1. Starting from Architecture
**Definition:** Architecture is the **fundamental structure** of a system â its components and the relationships between them â shaped under certain environments and principles.
**Simplified:** Itâs a **framework** or **structure** â any system can be decomposed into modules (**components**) and mapped based on their interconnections.
**Example:**
Train design using **multi-car modules and standard interfaces** enables carriage replacement without affecting the whole system.
**Architecture is everywhere:**
- **Urban planning**
- **Building design**
- **Factory layouts**
- **Enterprise transformation blueprints**
- **National development plans** *(Example: Indiaâs 2018 plan using TOGAF9.2 ADM)*
Even the **entire world** can be described via architecture. One model uses a **Socio-Technical framework**:
### World Architecture Model
**Social Dimension:**
1. **Government** â Public administration, laws, services, social order.
2. **Enterprise** â Products, jobs, innovation, production ecosystem.
**Personal Dimension:**
Individuals as both **participants** and **beneficiaries** â interacting with governments and enterprises.
**Technical Dimension:**
- **Hardware** â Devices, networks, industrial systems.
- **Software** â OS, applications, dev tools, security systems.
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## 2. The Evolution of AI Architecture
Enterprise architecture generally includes:
- **Business architecture**
- **Data architecture**
- **Application architecture**
- **Technology architecture**
Technology architecture has evolved rapidly:
From **monolithic applications** â **cloud-native** â **AI-powered systems**.
In just over a decade, AI architecture moved from the **âworkshopâ era** to the **âpower plantâ era**.
**Future Outlook:**
- Large model development = **âmodel factoriesâ**
- Models customized (âback stageâ) for **industries** and **scenarios**
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## 3. A Glimpse into the Future World
### Social Dimension Changes
1. **Government Services** â From *services sought by people* â *services seeking people*
2. **Cognitive Organizations** â Businesses with:
- **Self-perception**
- **Self-execution**
- **Self-adaptation**
**Driving Tech Foundations:**
- **Data-driven collective intelligence**
- **Full-staff AI empowerment (Copilot)**
- **Process autonomy (Agent)**
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### The Future Individual: Becoming a âSuper Individualâ
Roles most at risk from AI:
1. **Information conveyors**
2. **Task monitors**
3. **Process executors**
**Three capability paths to stay relevant:**
1. **One-person company** â Independent work via AI tools.
2. **AI Architect** â Tech + business hybrid expertise.
3. **Chief Culture Officer** â Irreplaceable human leadership.
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### Technology Dimension â Future OS & Programming Languages
- OS becomes **intent-driven** â powered by brain-computer interfaces.
- Programming returns to **natural language**.
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## 4. Future Professions for Programmers
When traditional coding declines, **new tracks** emerge:
- More technical â AI system engineers.
- More business-oriented â AI product strategists.
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## 5. Hardware Evolution â The Fourth Platform Era
Post-2020: Integration of **technology and human body** through embedded chips and natural interfaces.
Possible impacts:
- Enhance human senses and mental capacity via implanted devices.
- New industries: **human augmentation**, **neuro-interface development**.
- Professions: **Neuro app developers**, **integration specialists**.
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## 6. The Metaverse Challenge
While technically complex, improved AI and computing power â along with innovations like **RWA stablecoins** â edge the Metaverse closer to reality.
Potential: Entirely new **digital economy** with virtual goods, services, land, and events.
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## 7. Everyone as an âArchitectâ
Challenges to address:
- **Social:** Job loss, monopolization, legal gaps.
- **Tech:** AI hallucinations, safety.
- **Ethical:** Harmony, accountability, equitable benefits.
From **user** â **co-creator**:
- Learn AI literacy.
- Collaborate with AI to co-build solutions.
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## 8. Conclusion: Why Everyone Must Become an âArchitectâ
Understanding architecture means having **vision** â and that vision is critical for shaping the AI future.
AI paints limitless possibilities; we must choose and design the blueprint ourselves.
**Call to Action:** Build a smarter, warmer future â together.
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