Report Introduction: Three Major Segments and the Value Logic of the Full AI Industry Chain
Welcome to the "In-Depth Analysis Map of the Full AI Industry Chain."
In the new industrial revolution unleashed by generative AI, the traditional "foundation layer – technology layer – application layer" classification has become completely obsolete. It fails to explain why Microsoft needed to buy nuclear power plants, why TSMC's packaging capacity can throttle the entire Silicon Valley, and still less why data corpora are facing a depletion crisis.
Therefore, this report discards outdated frameworks and, centered on "value flow and physical constraints," reconstructs the AI industry chain into eight layers, grouped into three core segments.
Here is a macro map for reading this report:
🧱 Part One: Physical Foundation (Layers 01-03)
— The "Provisions and Arsenal" That Determine the Lower Bound of AI Development
Amid the media frenzy, people often focus only on how smart the models are, overlooking that AI is an extraordinarily capital-devouring physical beast. Part One reveals the ultimate physical bottlenecks constraining AI development:
- 01-Data Elements Layer: The crude oil of AI. As high-quality human corpora approach depletion, the ability to acquire, establish rights to, and synthesize data will directly determine "what large models eat."
- 02-Energy and Physical Foundation: The blood of AI. The ultimate challenge for a 10,000-GPU cluster is not compute but electricity and cooling. Nuclear power and liquid cooling are becoming the hard currency at the bedrock of the computing race.
- 03-Semiconductor Manufacturing and Materials: The arsenal of AI. From lithography machines to CoWoS advanced packaging, this is the frontline of the global tech cold war and the proving ground for the physical limits of Moore's law.
⚙️ Part Two: Compute and Model Core (Layers 04-06)
— The "Ultimate Suction Pump" for Profits in the Current Industry Chain
This is the main battlefield of the current AI war and the absolute profit center of the industry chain. Giants are burning hundreds of billions of dollars here:
- 04-Core Computing and Communication Hardware: The heart and nerves of AI. Represented by NVIDIA GPUs, SK hynix HBM, and Zhongji Innolight optical modules, hardware vendors have built extremely deep ecosystem moats and capture over 70% of the industry chain's current profits.
- 05-Computing Networks and Cloud Platforms: The distribution hub of AI. Traditional cloud giants (AWS/Azure) and emerging compute dark horses (CoreWeave) are competing for hegemony in compute distribution in the era of large models.
- 06-AI Models and Middleware Layer: The brain of AI. The "battle of a hundred models" among foundational large models has entered an oligopoly era, while middleware such as RAG and vector databases has become the critical bridge for enterprise adoption.
📱 Part Three: Applications and Endpoint Access (Layers 07-08)
— The Battle for "Trillion-Scale Traffic Hegemony" in the Next-Generation Internet
No matter how powerful compute and models become, they must ultimately deliver commercial value to the physical world and to consumers. Whoever controls the access points can "tax" the entire industry chain:
- 07-Industry Application Layer: The deep waters of the B2B segment. Discarding wrapper apps, AI that truly integrates enterprise private data and transforms core workflows—such as autonomous driving, AI pharmaceutical discovery, and smart manufacturing—is where commercialization ultimately lands.
- 08-Endpoints and Interaction Access: The C-end explosion. From AI PCs and AI phones to embodied intelligence (humanoid robots), AI is comprehensively rebuilding how humans interact with the digital and physical worlds. The super Agent era is fast approaching.
💡 Reading Suggestions: You can read sequentially for a panoramic view, or use the "Company Cards" at the bottom of the page or the left navigation bar to jump directly to the sub-tracks and technical terms that interest you most.