China’s AI Compute Industry Undergoes a Profit Redistribution
TREE NEWS reports: China’s AI compute sector is experiencing a deep profit redistribution as the national integrated computing network is elevated to critical infrastructure. The pricing logic is shifting from ‘selling server racks’ to ‘selling tokens,’ accelerating the value chain’s profit center from upstream hardware manufacturers to midstream scheduling operators and downstream application providers. Traditional competition based on rack scale and GPU inventory is becoming obsolete.
Market Impact
This transformation is reshaping the valuation logic for the entire industry. New valuation anchors—compute utilization rates, token output capacity, scheduling technology, and compliance qualifications—are replacing traditional metrics like rack count and power capacity. Companies with cross-domain scheduling and industry operation capabilities will capture higher profit shares, while smaller service providers relying solely on hardware leasing face sustained pressure.
Daily token calls in China surged from 100 billion in early 2024 to 140 trillion by March 2026—a 1,000-fold increase in two years. The three major telecom operators have already launched token-based pricing plans, and Compute-as-a-Service (GaaS) is emerging as the advanced form of compute operation.
Key Takeaways for Investors
- Shift focus from rack scale and GPU inventory to compute utilization, token output, scheduling technology, and compliance qualifications.
- Short-term (2026-2027): focus on liquid cooling and 800G/1.6T high-speed optical modules.
- Medium-term (2028-2029): position in domestic AI chips and scheduling software firms.
- Long-term (2030+): look at compute-power coordination and edge computing operators.
The industry is moving from the ‘East-to-West Computing’ physical layout phase to a new stage of ‘network-compute integration, global scheduling, and compute-power coordination.’ This marks a pivotal shift from hardware-centric to service-centric value creation, with profound implications for investors tracking China’s AI and tech sectors.
