MWC Shanghai 2026: Telecom Operators Shift From Traffic to AI Tokens
MWC Shanghai 2026 offers a clear signal that the telecommunications industry is entering a new phase. While previous industry cycles focused on expanding connectivity, network coverage, and mobile data consumption, operators are now searching for new growth engines built around AI infrastructure, model inference, and tokenized computing services.
The transformation is visible across the exhibition floor. Cloud providers now occupy prominent positions at telecom events, operator booths showcase AI computing orchestration platforms instead of traditional network maps, and industry reports increasingly focus on intelligent services rather than connection counts.
The central question facing telecom companies is no longer how to sell more bandwidth—it is how to monetize AI infrastructure at scale.
📊 The Data Behind the Industry Transition #
The latest China Mobile Economy Development 2026 report outlines three major trends reshaping the telecommunications sector.
Revenue Growth Is Slowing #
China’s telecom market remains enormous, but growth has become increasingly difficult.
Key indicators include:
- Operator revenue is projected to increase from approximately $191 billion in 2025 to $222.8 billion by 2030.
- Planned capital expenditures are expected to reach $194.1 billion over the same period.
- Annual growth rates remain close to 3%, only slightly above inflation.
Recent performance highlights the challenge:
| Operator | Revenue Growth (2025) |
|---|---|
| China Mobile | 0.9% |
| China Telecom | 0.07% |
| China Unicom | 0.68% |
These figures suggest that traditional connectivity services have largely reached maturity.
Network Infrastructure Has Reached Scale #
China continues to lead globally in mobile infrastructure deployment.
Major milestones include:
- More than 40% of global 5G connections are located in China.
- 5G-Advanced (5G-A) services have launched in over 330 cities.
- The country now supports more than 10 million 5G-A users.
- Mobile technologies generated approximately $1.5 trillion in economic value during 2025.
While infrastructure deployment remains a success story, it also exposes a challenge: expanding network capacity alone no longer guarantees meaningful revenue growth.
AI Becomes the New Growth Engine #
The report places significant emphasis on Mobile AI and Agent-based ecosystems.
The industry is moving through three stages:
- Device-centric AI
- Cross-device AI collaboration
- Agent-driven intelligent services
This transition shifts value creation away from simple connectivity and toward AI-powered services that consume computing resources at scale.
🤖 Why Tokens Have Become the Telecom Industry’s New Currency #
Operators have spent decades mastering a straightforward business model:
- Measure usage.
- Bill customers.
- Scale distribution.
Historically, that usage metric evolved from voice minutes to mobile data. Today, the emerging unit of consumption is the AI token.
Rather than charging solely for network traffic, operators increasingly package AI model access, inference capacity, and computing resources into metered services.
This shift aligns naturally with existing telecom strengths:
- Nationwide billing systems
- Massive customer bases
- Identity verification infrastructure
- Real-time metering capabilities
- Large-scale service delivery platforms
In many ways, tokens represent the next logical evolution of digital resource monetization.
📱 China Mobile’s Consumer Token Strategy #
China Mobile is pursuing a mass-market approach focused on large-scale token distribution.
The company officially launched its Token Operations Ecosystem in May 2026, with regional branches rapidly introducing commercial offerings.
Examples include:
- Jiangsu Mobile offering token packages starting at RMB 5 for 2.5 million tokens.
- Support for multiple AI models, including DeepSeek, Tongyi Qwen, and MiniMax.
- Daily external token consumption reportedly surpassing 800 million tokens shortly after launch.
Additional provinces have introduced similar plans featuring:
- Monthly subscriptions
- Consumer AI access passes
- Bundled AI services
China Mobile’s MoMA platform now aggregates more than 300 models, enabling centralized management and lower inference costs.
Strategic Focus #
China Mobile’s objective is scale.
By distributing AI services through its existing customer channels, the operator aims to replicate the success of mobile data plans using token-based consumption models.
☁️ China Telecom’s Computing Supermarket Vision #
China Telecom has chosen a different route.
Rather than focusing primarily on token distribution, the company is building a platform for intelligent model orchestration.
Its strategy centers around the belief that users care less about which model powers a request and more about receiving the best outcome at the lowest cost.
TokenHub and Intelligent Routing #
China Telecom’s Xingchen TokenHub platform provides:
- Multi-model aggregation
- Dynamic routing
- Cost optimization
- Performance-based model selection
The system can automatically choose the most suitable model for a given workload.
Computing Power as a Service #
Built on the Xirang platform, China Telecom promotes a “Computing Supermarket” concept where enterprises can purchase AI computing resources on demand.
This approach positions the company as an infrastructure orchestrator rather than a model vendor.
🧠 China Unicom’s Agent-Centric Approach #
China Unicom focuses on embedding AI directly into productivity workflows.
The company’s strategy combines:
- AI Agents
- Tokenized consumption
- AI cloud services
Built around its Yuanjing MaaS platform, the goal is to integrate tokens into practical business scenarios rather than selling raw inference capacity.
Strategic Focus #
Instead of emphasizing infrastructure or model aggregation, China Unicom aims to become a provider of AI-powered workflows and intelligent task execution systems.
This positions the operator closer to application-level value creation.
📈 Daily Token Consumption Is Growing Explosively #
One of the most striking industry statistics is the growth of token consumption.
Daily Token Usage Growth #
| Period | Daily Token Volume |
|---|---|
| Early 2024 | 100 billion |
| March 2026 | 140 trillion |
| End of 2026 (Forecast) | 300–400 trillion |
This represents approximately 1,000x growth in just over two years.
Why Growth Is Accelerating #
The primary driver is the rise of AI Agents.
Traditional chat interactions typically involve a single request-response cycle.
Agents perform:
- Multi-step reasoning
- Tool invocation
- Workflow execution
- Continuous planning
As a result, a single Agent task may consume hundreds or thousands of times more tokens than a standard chatbot query.
Corporate AI consumption is expected to expand accordingly, with projections indicating dramatic increases in enterprise token usage throughout 2026 and beyond.
🌐 The Boundaries Between Telcos, Cloud Providers, and AI Companies Are Disappearing #
As operators expand into AI services, traditional industry boundaries are becoming increasingly blurred.
Historically:
- Telecom companies sold connectivity.
- Cloud providers sold infrastructure.
- AI companies sold models.
Today, customers increasingly demand all three as part of a unified platform.
Modern enterprise requirements include:
- AI model access
- Computing resources
- Scheduling and orchestration
- Application integration
- Unified billing
This convergence creates direct competition between:
- Telecom operators
- Hyperscale cloud providers
- AI model developers
The Telecom Advantage #
Operators retain several structural advantages:
- Nationwide infrastructure footprints
- Carrier-grade reliability
- Massive subscriber bases
- Mature billing systems
- Edge computing deployment capabilities
Most importantly, operators can integrate AI services directly into existing subscriber relationships and billing mechanisms.
⚠️ The Risk of Becoming an AI Utility Provider #
Despite these advantages, a significant risk remains.
If operators fail to establish meaningful differentiation at the AI layer, they could become infrastructure wholesalers rather than value creators.
In that scenario:
- AI labs build the models.
- Operators purchase inference capacity.
- Operators repackage services.
- Most profits remain with model developers.
This would mirror historical challenges seen in other infrastructure industries, where network providers carried traffic but captured only a small portion of the value chain.
The long-term success of telecom AI strategies will depend on whether operators can control enough of the intelligent service layer to maintain pricing power.
🌍 A Global Industry Transformation #
The move toward token-based AI services is not unique to China.
Operators worldwide are exploring similar opportunities.
Examples include:
- Reliance Jio pursuing AI integration across digital ecosystems in India.
- SoftBank and SK Telecom investing heavily in edge AI infrastructure.
- Deutsche Telekom experimenting with enterprise-focused token billing models.
What differentiates China is scale.
The combination of:
- More than one billion mobile subscribers
- Extensive 5G-A deployment
- Unified digital identity systems
- Mature operator ecosystems
allows new AI business models to reach commercial scale faster than almost anywhere else.
🚀 Conclusion #
MWC Shanghai 2026 demonstrates that telecommunications companies are no longer content with serving as connectivity providers.
As revenue growth from traditional services slows, operators are repositioning themselves as platforms for AI inference, computing resources, and tokenized digital services.
The transition from selling data traffic to selling AI tokens represents more than a new pricing model—it reflects a fundamental redefinition of what a telecom operator is expected to provide in the AI era.
The next stage of competition will not be determined by network coverage maps or data plans. Instead, it will be shaped by which operators can successfully transform their infrastructure, billing systems, and customer relationships into scalable AI service platforms capable of monetizing the rapidly expanding token economy.