In-depth Analysis: How China's 2026 Modular Resonance Initiative Reshapes AI

The first week of May 2026 delivered two landmark signals for China's AI industry: the Ministry of Industry and Information Technology, together with the National Data Administration, officially launched the "Modular Resonance" special initiative, while domestic AI model weekly usage surpassed that of the United States for the second time, reaching 7.942 trillion tokens.

These two events point to a deeper inflection — China's AI sector is transitioning from "catching up with applications" to "defining scenarios."

Three Keywords: Scenarios, Agents, and Datasets

Unlike previous AI policy documents, the Modular Resonance initiative avoids vague language and precisely targets 20 key manufacturing sectors. The four targeted outputs are remarkably specific: scenario applications on actual production lines, vertical-domain models at the tens-of-billions parameter scale, AI Agents as standalone deliverables, and high-quality industry datasets elevated to strategic importance.

This framework outlines a clear industrial chain: upstream players build models and datasets, midstream develops agent frameworks, and downstream executes scenario deployment.

What China's Model Usage Overtaking the US Really Means

Global model usage reached 23.9 trillion tokens (up 8.6 percent week-over-week), with China contributing 7.942 trillion (up 81.7 percent) while US usage declined to 3.258 trillion (down 34.6 percent). The top-ranked Hy3 preview (free) alone generated 3.03 trillion tokens, with Kimi K2.6 close behind.

More significantly, Alibaba's Qwen3.6-27B dense model requires only 18GB of memory for single-machine deployment while outperforming its previous-generation 397B MoE flagship on SWE-bench Verified. The performance ceiling of local AI is being continuously pushed higher.

Route Divergence: Closed vs Open

On May 2, OpenAI launched GPT-5.5 with standard output priced at $180 per million tokens. Simultaneously, DeepSeek-V4-Pro directly competes with GPT-5.5 across multilingual, reasoning, and coding benchmarks. For China, the open-source route reduces lock-in risk — when locally deployed open-source models are performant enough, enterprises gain vendor independence.

Local Deployment: From Optional to Mandatory

The revised Cybersecurity Law (effective January 2026), combined with Level-3 certification requirements, has transformed local-first from a preference into a compliance baseline. Finance, healthcare, government, manufacturing — exactly the sectors targeted by Modular Resonance.

The Second Half of 2026: Three Threads

1. Policy-driven scenario deployment: Pilot results from 20 sectors will determine resource allocation
2. Open-source ecosystem expansion: Billion-parameter models delivering trillion-parameter performance on consumer hardware
3. Local AI hardware category emergence: Inference workstations, edge boxes, and local Agent appliances forming a new category independent of cloud services

For enterprises and developers, the optimal strategy is maintaining flexible local infrastructure with cloud models for large-scale computation and local agents for sensitive data and real-time response.