The Eyes That Read the Structure Rule the Tools

The Eyes That Read the Structure Rule the Tools

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Vendor: ADK FIRST - Alex Kim
Type: 인공지능
SKU: 9791199922327
Categories: ALL BOOKS
Tags: ADK FIRST Alex Kim TheEyesThatReadtheStructureRuletheTools 컴퓨터/IT_컴퓨터공학
Description
The author is an entrepreneur who has personally experienced, from the very ground level of industry, how the Internet and mobile technologies have transformed the world over the past two decades since the early 2000s.

In the coming era, it will not be those who merely use tools,
but those who understand the underlying structure, who will lead.

“This book will become the eyes through which you learn to read that structure.”

본 도서는 ‘구조를 읽는 눈, 도구를 지배한다(979-11-999223-1-0)’ 도서의 번역서입니다.
저자

Alex Kim

ㆍ Vice President & Korea General Manager at PTC(NASDAQ: PTC)
ㆍ AI Leadership Council Member at AMCHAM Korea
ㆍ The member of Korean CEO’s Association of Multinational Corporations
ㆍ Chairman of SmallMeetingRoom “작은회의실”
ㆍ Former Country Manager of Korea at Cloudflare(NYSE: NET)
ㆍ Author of the book “A Thin Stack of AI Knowledge” - “알팍한 AI 지식 쌓기” (2024)
ㆍ Stanford University Graduate School of Business, LEAD
ㆍ University of Toronto, Computer Science

목차

Endorsement 1
Endorsement 2

Prologue
Introduction

Chapter 0 The Long History of AI
0.1 Why Begin with History
0.2 1956 - A Summer Workshop
0.3 1974-1980 - The First AI Winter
0.4 1997 - Deep Blue Ends Chess
0.5 2012 - AlexNet and the Deep Learning Explosion
0.6 2017 - “Attention Is All You Need”
0.7 November 30, 2022 - ChatGPT
0.8 January 2025 - The DeepSeek Shock
0.9 March 2026 - The Declaration of Physical AI

Part Ⅰ The Birth of Power
The NVIDIA Empire and the Capture of AI Infrastructure

Part Ⅰ Opening

Chapter 1 The Day AI Was Reborn
1.1 The Decisive Difference Between “Responding AI” and “Thinking AI”
1.2 o1 - The Stone OpenAI Threw
1.3 The DeepSeek Shock - January 2025, the Day the World Trembled
1.4 What DeepSeek Proved and What the World Misunderstood
1.5 How Reasoning Models Are Changing the Rules of the Game
1.6 The Warring States Era of Models

Chapter 2 The Limits of Scaling
2.1 The Scaling Law - A Faith That Ruled AI for Ten Years
2.2 Cracks Begin to Show
2.3 DeepSeek Proves the Value of Efficiency
2.4 Test-Time Compute - A New Dimension of Scaling
2.5 New Bottlenecks - Data and Algorithms
2.6 Opportunities Opening for Korean Companies

Chapter 3 The NVIDIA Empire
3.1 What It Means for One Company to Become the OS of the Global AI Market
3.2 CUDA - A Moat Built Over 20 Years
3.3 Selling Not a GPU, but a “System”
3.4 Capturing Networking - The Lesson of the Mellanox Acquisition
3.5 Jensen Huang’s GTC - The Blueprint of Industry Order
3.6 Why Have Challengers Failed Repeatedly?

Chapter 3.5 The Chip War and Geopolitics
3.5.1 Why Chips Are the Oil of the 21st Century
3.5.2 America’s Strategy - “Stay Two Generations Ahead”
3.5.3 China’s Counterstrike - Self-Sufficiency and the Path Around
3.5.4 Taiwan - The Global Economy on a Single Island
3.5.5 ASML in the Netherlands - One Company Holding the Future of AI
3.5.6 Korea’s Position - Memory Emperor and Beyond
3.5.7 Korea’s Strategy - Triangular Diplomacy and Internal Strengthening
3.5.8 Implications for Korean Manufacturing

Chapter 4 Full Stack AI
4.1 What Is “Full Stack”?
4.2 Big Tech’s Proprietary-Chip Wars
4.3 “If You Are Not Full Stack, You Are Dependent”
4.4 Full Stack at the National Level - Sovereign AI
4.5 Korea’s Assets and Gaps
4.6 Korea’s Choice - Which Stack to Build?

Chapter 5 AI Factory
5.1 Not a Data Center, But a Factory
5.2 An Industrial Revolution Repeated - A New Meaning of “Factory”
5.3 Power, Cooling, Real Estate - The New Resource War
5.4 AI Factory Competition at the National Level
5.5 Korea’s AI Factory Reality
5.6 Connecting the AI Factory to Industrial AI

Part Ⅰ References and Sources

Part Ⅱ The Reordering
AI Agents, NeoCloud, GPU Economics, and the Open-Source Insurgency

Part Ⅱ Opening

Chapter 6 AI Agents
6.1 The Era of the Chatbot Is Over
6.2 Claude Code, Cursor, Devin - A Revolution That Began in Coding
6.3 MCP - The Standard Language of Agents
6.4 OpenAI vs. Anthropic - The Choice of the Enterprise
6.5 The Real Barrier for Agents - Integration and Governance
6.6 Tectonic Shift in Pricing Models - The Economics of Tokens

Chapter 7 NeoCloud
7.1 Is the Hyperscaler Era Ending?
7.2 The Birth of CoreWeave - A New Jersey Garage to a $43B Empire
7.3 NVIDIA’s Blessing - The Beginning of a “Strategic Alliance”
7.4 Explosive Growth - CoreWeave by the Numbers
7.5 The Birth of Nebius - From Russia to Europe
7.6 Nebius’s Rapid Rise - Resurrection in Eighteen Months
7.7 Why They Cannot Fail - The Five-Layered Moat
7.8 Risk Factors - Not All Moats Are Safe
7.9 2026-2030 Outlook - The Next Five Years for NeoCloud
7.10 Korea’s NeoCloud Strategy

Chapter 8 GPU Economics
8.1 What “Don’t Buy a GPU, Rent It” Really Means
8.2 The H100 Price Rollercoaster
8.3 The 2026 Rebound - Demand Beat Expectations
8.4 New Players Born of GPU Economics
8.5 GPU Prices Decide the AI Business Model
8.6 Jevons’s Paradox - Why Demand Rises Even as Efficiency Improves
8.7 Korea’s GPU Strategy - Not as User but as Supplier

Chapter 9 The Open-Source AI Revolt
9.1 The End of the Belief That “Open Source Cannot Win”
9.2 Llama - Meta’s Big Bet
9.3 China’s Open-Source Offensive - DeepSeek, Qwen, Kimi, GLM
9.4 Even OpenAI Returned to Open - The Shock of gpt-oss
9.5 How Open Source Is Reshaping Enterprise AI Strategy
9.6 Where Does Korea Stand?
9.7 The Bright and Dark Sides of Open Source - Security and Responsibility

Part Ⅱ References and Sources

Part Ⅲ The Transformation
The Age of Physical AI Swallowing the Material World

Part Ⅲ Opening

Chapter 10 The Declaration of Physical AI
10.1 The One Sentence Jensen Huang Changed Everything With
10.2 The Four Waves of AI
10.3 Why

출판사 서평

Since the early 2000s, when the Internet first began reshaping industries, the author has worked on the front lines, experiencing those transformations firsthand. From the early days of Internet infrastructure and enterprise IT environments, through the mobile era, and into today’s AI revolution, the author has closely witnessed how technology changes the world and the structure of industries.

Working alongside global IT companies such as SAP, Autodesk, and Cloudflare, the author experienced firsthand, on the front lines, how technology transforms the structure of industries and enterprises.

Rising to the position of Korea GM for a global multinational company, the author gained deep insight into the fundamental nature of technological, business, organizational, and industrial transformation.

This book is a record born from pouring more than two decades of experience and insight into the great turning point of the AI era.

This book is not merely a work of future predictions or theory. It contains practical insights and survival strategies gained through real-world experience - through challenges faced, failures endured, and lessons validated on the front lines of industry.

In particular, the book explores the sweeping restructuring of industries driven by AI - including AI agents, digital transformation, GPU infrastructure, manufacturing innovation, smart factories, mobility, energy, platforms, data, and robotics - and presents the most practical perspective on the choices that Korea, businesses, and individuals must make in response.

This book is not intended solely for the IT industry. It is for entrepreneurs, business leaders, policymakers, students, investors, and anyone who wants to truly understand how the world of the future will move and evolve.