Token→算力→数据中心→电力→储能全产业链解析

Core Viewpoint - The article emphasizes that in 2026, the global AI industry is undergoing a significant paradigm shift, with "Token Economics" becoming the central theme, as Token demand is reshaping the entire hard technology industry chain, driving new investment opportunities in the A-share market [2][3]. Token as the New Oil - Token is defined as the smallest semantic unit for processing text in large models, acting as the "basic particle" in the AI world, with every interaction generating and consuming Tokens [2]. - The daily average Token consumption in China is projected to surge from the trillion level in early 2024 to the hundred trillion level by early 2026, driven by the proliferation of AI dialogues and the evolution of AI applications [3][5]. AI Application Evolution - Early AI applications were primarily generative, leading to linear Token consumption. However, the emergence of AI Agents since the second half of 2025 has drastically changed this, with single tasks now consuming Tokens geometrically due to multiple model inferences [5]. - Over 60% of enterprises have integrated AI applications into their operations, indicating that Token consumption has shifted from experimental spending to a fixed cost [5]. Supply and Demand Dynamics - The sudden steep demand curve for Tokens has exposed rigidities on the supply side, leading major cloud providers to raise AI computing service prices significantly in March 2026, marking a fundamental shift in industry logic [8]. - The demand for computing power is rising sharply, necessitating a transformation of traditional data centers into AI Data Centers (AIDC) to support the increasing Token consumption [8]. Energy and Computing Synergy - The concept of "Computing and Electricity Synergy" has emerged, highlighting the deep integration of digital economy and energy transition, especially after being included in government work reports as a national strategy [10][14]. - The recent performance of the electricity-related sector has shown resilience, with equipment for power grids leading the charge due to the increasing demand for data center infrastructure [16]. Storage as the Power Bank of AI - Storage systems are becoming critical in the AI era, with their cost per kilowatt-hour serving as a benchmark for Token pricing [22]. - Storage is essential for ensuring continuous power supply to computing centers, smoothing out electricity price fluctuations, and enabling green electricity connections [23][24][25]. - The storage market is witnessing robust growth driven by AI computing demands, with a consensus forming around the idea that "Storage equals Token" [25]. A-share Related Companies - Companies involved in Token production, circulation, and application are highlighted, with significant year-to-date stock performance noted for several firms, such as Guanghui New Network and Keda Xunfei [9][12][26]. - The storage sector is also represented, with companies like Jinkai New Energy and Banmu Energy showing strong growth in their respective markets [26].