Summary of the Core Content in Plain Language
This news report clearly outlines the real shift in the AI industry in 2026: The previous “arms race” focused on which company could build the largest model with the most parameters and achieve the highest scores has come to an end. Now, the entire industry is competing on the efficiency of how much useful content AI can produce for each dollar spent. The usage of Tokens, the core unit of measurement in AI, has increased by 1,000 times in two years, and there is a shortage of high-end computing power of over 30%. Companies facing challenges in implementing AI include difficulties in selecting models, high costs of hardware, poor adaptation to specific scenarios, and concerns about data breaches. Xunce Technology, a company listed on the Hong Kong Stock Exchange, has launched a one-stop AI infrastructure platform called TokenCloud, which essentially creates an “AI shared factory” that companies can use immediately. This initiative coincides with an explosion in industry demand and policy support for localization, filling a gap in the market that no one had previously addressed.
---
The First Major Change: The Rules of the AI Game Have Completely Changed, from “Bluffing” to “Getting Things Done”
Many people used to think of AI as companies boasting about models with trillions of parameters and the highest scores globally. However, by 2026, it became clear that these superficial metrics were useless. No company wanted to pay for an AI system that took three seconds to generate a report, crashed after an hour of operation, or was more expensive than hiring ten employees. The new evaluation standard is “Token output efficiency”—where each Token represents the amount of work done by AI. Every word AI processes, image it recognizes, or piece of data it handles consumes a certain amount of Tokens. The competition has shifted from a “arms race” in chip and parameter accumulation to a focus on using the least amount of resources to produce the maximum amount of useful Tokens.
Previously, computing power was a luxury for internet companies, but now it’s a critical factor for AI companies’ survival. If a company can’t obtain enough computing power, its AI products will be slower and more expensive than those of its competitors, leading to market elimination. The usage of Tokens has increased by a thousand times in two years, and there’s a 30% shortage of high-end computing power, similar to a restaurant facing a sudden surge in demand with insufficient cooking facilities.
---
The Four Common Challenges Faced by Companies in Implementing AI, None of Which Could Be Fully Overcome Before
Many companies are now claiming to be “all-in on AI,” but 90% of them are stuck due to four unavoidable issues:
1. Difficult Model Selection: There are hundreds of large models available, and the scores displayed are often inflated. For biotech companies, using a model designed for writing web content won’t be practical. Without proper testing, it’s impossible to know whether the model is accurate, efficient, or costly for their specific needs.
2. Expensive Hardware: High-end imported AI chips are priced exorbitantly and take months to obtain. Even if a company manages to gather various computing cards, they may not work together effectively due to incompatible software, wasting a significant amount of resources.
3. Inappropriate Model Adaptation: Most companies don’t need general-purpose models that can do everything; they need specialized models for specific tasks. However, few companies invest in customizing lightweight models for their needs.
4. Data Security Concerns: Companies are hesitant to share their sensitive data with public models, fearing potential breaches that could be devastating.
Previously, service providers either only offered computing power rental or pre-made models. Now, with TokenCloud, companies can get everything they need in one place, eliminating the need to coordinate with multiple suppliers and handle issues themselves.
TokenCloud: The “Shared Smart Factory” of the AI Era
TokenCloud solves all these problems. It provides a shared AI infrastructure that companies can use without worrying about the following:
- Model Selection: The platform tests all mainstream models and recommends the most cost-effective one for their specific needs, eliminating the need for trial and error.
- Hardware Acquisition: It manages the scheduling of imported and domestic computing resources, ensuring the best cost-effectiveness.
- Model Customization: It transforms general-purpose models into tailored versions for specific use cases, speeding up implementation and reducing costs.
- Data Security: It uses a cloud-edge collaboration architecture to prevent data breaches, keeping the company’s data secure.
Unlike traditional computing power rental services, TokenCloud offers a comprehensive solution that covers the entire AI implementation process, from computing power to models, eliminating the need for multiple suppliers.
The Strategic Value of TokenCloud
For Xunce Technology, launching TokenCloud is more than just adding another business; it’s a strategic move that controls a key entry point in the AI industry:
- New Pricing Model: The industry is shifting from charging based on the duration of chip usage to charging based on the actual output of Tokens, providing more stable and profitable opportunities.
- Central Role in the Local AI Ecosystem: TokenCloud connects domestic computing resources with various industries in need of AI, creating a valuable position in the ecosystem.
- Business Expansion: It complements Xunce’s existing services by processing data into high-quality Tokens. With TokenCloud, the company can now provide end-to-end solutions, making it difficult for competitors to copy their approach.
The Future of the AI Industry
This new AI infrastructure is driven by a combination of market demand, policy support, and practical applications. The demand for high-end computing power is growing rapidly, with domestic solutions becoming increasingly popular. The government’s support for localization and the success of TokenCloud in various industries demonstrate the industry’s solid foundation. This is a clear opportunity with significant long-term value.
In summary, TokenCloud represents a major milestone in the AI industry, offering a comprehensive solution that addresses the industry’s key challenges and opens up new opportunities for companies looking to leverage AI.