Article by Xiangling Shuo

History does not pivot amidst clamor; rather, it subtly shifts course at moments that often go unnoticed.

In the first half of 2026, a series of seemingly isolated events coalesced into a meticulously coordinated campaign. Alibaba established the ATH (Alibaba Token Hub) business group, forging a closed-loop ecosystem that seamlessly connects model development, platform capabilities, and application products. ByteDance's national-level AI application, Doubao, successfully navigated its business model for the first time. WeChat fully opened its AI ecosystem, integrating intelligent services into its vast portal of 1.4 billion users. Lenovo, leveraging its hybrid AI approach, connected 'end-edge-cloud' infrastructure, upgraded Tianxi AI to version 4.0, and introduced an 'innovative' AI host, driving computing power from centralized clouds to the edge and endpoints.

Four companies, each pursuing distinct strategies, yet all converging on a singular truth: AI is no longer sustained by mere narratives but by tangible value delivered through implementation. The intensity of the first half's 'Hundred-Model Battle' has set the stage, and the second half's 'Normandy Landing' for value realization across industries has officially commenced.

The Turning Point: From 'Technological Narratives' to 'Scalable Value'

Revisiting Gartner's Hype Cycle, 2026 emerges as a pivotal juncture. Over the past three years, the industry languished in the 'Peak of Inflated Expectations,' with capital chasing model parameters and rankings. By 2026, the industry began to transition into the 'Plateau of Productivity.'

The synchronized efforts of BATL (ByteDance, Alibaba, Tencent, Lenovo) at this critical juncture are not mere coincidences but the inevitable outcome of a delicate balance between technology supply-side factors (declining computing costs, improved model inference efficiency) and demand-side factors (enterprises' pursuit of cost reduction and efficiency gains, users' reliance on personalized intelligence). Only when the cost of tokens falls below the commercial value they generate does AI truly emerge as a universal productivity force.

From a data perspective, China's large model market has surpassed the U.S. in daily token usage, ranking first globally. The number of generative AI users has exceeded 600 million, with a penetration rate of 42.8%. This indicates that China's AI has transcended its early enlightenment phase and officially entered the 'deep waters of scalable value realization.'

In this industrial landscape, BATL have each submitted their 'perfect' answers.

ByteDance: Leaping from Traffic to Cash Flow. By March 2026, Doubao's monthly active users stabilized at 345 million, with daily active users exceeding 140 million. Its daily token usage surged nearly 1,000-fold since launch. Doubao's integration with Douyin Mall allowed users to 'shop with one sentence,' marking ByteDance AI's shift from a 'user scale game' to a 'cash flow business.' This marks the first time a truly mainstream, commercially viable national-level AI application has emerged in China.

Alibaba: Building a Token-Driven Industrial Assembly Line. The established ATH business group created a complete chain where 'Tongyi generates tokens, Bailian transports tokens, and Qianwen and Wukong apply tokens'—spanning from foundational models and cloud platforms to personal and enterprise applications, forming a token-driven supply chain.

Tencent: Creating a Super Matrix for AI Implementation. WeChat Pay launched an 'AI-exclusive card,' and all mini-programs opened to the AI ecosystem. With 1.432 billion monthly active users, WeChat became a super portal for AI, granting the Hunyuan large model direct access to users' neural endpoints. Tencent is weaving AI into every facet of social life.

Lenovo: Laying the AI Foundation for the Token Economy Era with Hybrid AI. While the industry focused on model parameters, Lenovo shifted its attention to token accessibility. The release of Tianxi AI 4.0 and the AI host aimed to enable 80% of token consumption to occur locally. The launch of the Token Factory standardized and scaled computing power production. Lenovo is not only a core computing supplier for BAT but also the guardian of the 'last mile' that delivers AI from the cloud to personal desks.

Four answers, different paths, yet all crossing the same threshold simultaneously—AI is transitioning from technological narratives to scalable, operational businesses. This is no coincidence; it is a critical inflection point.

Coordinated Landing: Ecological Integration and Strategic Resonance

The outside world tends to view giant competitions through a 'zero-sum game' lens, overlooking the deep 'symbiotic logic' among BATL. These four forces are not isolated commando units but a tightly integrated combat cluster.

First, there is the strongest supply-demand resonance. China's aggressive AI evolution has created a voracious demand for computing power. For example, nearly 90% of ByteDance's hundred-billion-scale capital expenditures go toward AI computing, with Lenovo serving as the most stable 'arsenal' behind this massive demand. Without the computing foundation, the superstructure of large models cannot exist. Just as in the power industry, where power generation companies and grid companies operate independently yet depend on each other, BATL forms China's most stable AI industrial pyramid.

Second, there is a multi-dimensional competitive-cooperative networked ecosystem. On the surface, BAT compete fiercely in applications and traffic entry points, but at the foundational technology and standard-setting levels, they are interdependent. Tongyi, Hunyuan, and Doubao, though from different 'schools,' share the same computing foundation and distribution network. This 'top-level competition, bottom-level symbiosis' structure significantly reduces innovation costs for society as a whole.

Third, there is the ultimate division of labor in the value chain. From an industrial summit perspective, the division of labor among the four is clear and decisive: ByteDance, Alibaba, and Tencent are the 'power plants' responsible for producing intelligence (tokens), while Lenovo is the 'grid and terminals' responsible for computing power transmission, scheduling, and delivery. The power plants determine the upper limit, while the grid determines the penetration rate. This perfect 'power generation' and 'transmission' integration is the underlying code for China's AI to navigate cycles and resist risks.

This is the deepest meaning of the 'Normandy Moment.' Landing is never a lone charge but the result of air, naval, ground, and logistical forces each playing to their strengths and coordinating their advances.

Beyond the Beachhead: Reshaping the Future Industrial Landscape

The Normandy Landing changed the course of World War II, while BATL's synchronized 'landing' will truly determine the second half of China's AI journey. Once the beachhead is opened, the real battle begins—three variables in the depths of the AI era are redefining the industrial landscape for the next five or even ten years.

First, the full formation of the token economy. Tokens will become a new foundational element of China's digital economy, much like electricity. Future competition will no longer be about model parameters but about unit token cost and energy efficiency. Whoever can produce higher-value tokens at lower costs will hold the pricing power in the intelligent era. BATL's simultaneous efforts across four different segments mean this industrial chain is moving from concept to scale.

When tokens become the unit of account, corporate financial models will undergo dramatic changes. We may witness the emergence of 'token accounting,' where enterprises calculate the cost of acquiring effective token conversions rather than simply budgeting for marketing. This will force all software service providers to transform into AI-native service providers, as only the marginal costs generated through AI automation can offset the marginal costs of token consumption. Lenovo's Token Factory aims to provide enterprises with a yardstick to measure these costs.

Second, the physical redistribution of computing power from the cloud to endpoints. Centralized public clouds will not be the only answer for AI deployment. Privacy needs, network stability, inference costs, and real-time responsiveness—any single variable drives AI from data centers to the edge and endpoints. When a 300g AI host can run a 122B local large model and an AI PC can perform simultaneous interpretation offline, the physical distribution of computing power will reshape China's AI industrial landscape.

The importance of 'hybrid AI' must be emphasized here. This architecture not only addresses data security and compliance pain points but also significantly reduces pressure on central (cloud) bandwidth through localized inference, a physical prerequisite for BAT's large-scale implementation.

Third, ecological co-construction moves from slogans to mechanisms. The era of giants building the stage and thousands of enterprises performing has truly arrived. The infrastructure constructed by BATL will enable every developer and every small and medium-sized enterprise (SME) to access intelligence with low barriers. This is not just technological implementation but a liberation of productivity for all.

With the maturation of BATL's ecosystem, China's software industry will undergo a historic shift from SaaS (Software as a Service) to AaaS (Agent as a Service). In the past, SMEs purchased software by paying annual fees for functions; in the future, they will pay based on token consumption for intelligence.

This model shift will make AI no longer the exclusive domain of large tech companies but a ubiquitous public resource like water, electricity, and gas. When Lenovo's AI hosts and terminals enter SME offices, paired with Alibaba's model APIs and Tencent's social distribution, the intelligent nerves of China's 60 million-plus SMEs will be fully activated.

Epilogue

The synchronized efforts of BATL in the first half of 2026 will one day be viewed as a critical turning point in China's AI industry.

ByteDance brings users and scale, Alibaba brings models and commercialization paths, Tencent brings platforms and penetration depth, and Lenovo brings computing power and endpoint accessibility. Together, they enable AI to move from remote data centers to everyone's hands, desks, and homes.

From a global competitive perspective, BATL's encirclement holds deeper spatial significance. While OpenAI and Microsoft remain trapped in the profit model anxiety of 'how to make ChatGPT profitable,' China's AI has achieved self-sufficiency through ecological synergy in real-world scenarios like e-commerce, social media, office work, and manufacturing. This 'application-feeds-model, model-pulls-infrastructure' Chinese model may become a unique path for global AI commercialization.

Without noisy slogans, only surging token usage, seamless ecological integration, and accelerated AI value penetration across all scenarios. China's AI has reached its 'Normandy Moment.' Next, let us wait and see how AI will reshape every facet of China's economy.

*All images in this article are sourced from the internet.