Unlike earlier annual work plans, the 2026 edition elevates mandatory national standards—not just recommended guidelines—across several critical domains. MIIT broke the work into four actions: quality and safety standards improvement, green and low-carbon standards renewal, emerging-field standards leadership, and future-technology standards pre-research .
The most consequential shift in the 2026 plan is the push to publish and implement mandatory national standards for autonomous driving systems alongside enforceable methods for autonomous driving simulation testing . MIIT will advance mandatory national standards for combined driver-assistance systems, complete review and approval for heavy-vehicle automatic emergency braking and lane-keeping assist, and solicit formal feedback on parking-related combined driver-assistance mandates .
Beyond the vehicle itself, the plan mandates work on autonomous driving test scenarios, fusion positioning, automatic parking system safety requirements, and driver-attention monitoring . For the first time, the plan also accelerates Safety of the Intended Functionality (SOTIF) and AI-specific functional safety standards for systems including drive-by-wire chassis, battery management, and drive motor controllers .
MIIT formally designated automotive AI and new-form vehicles as future-technology domains requiring forward-looking standards pre-research . The plan calls for accelerated work on foundational standards for AI functional safety and SOTIF, moving beyond generic automated-driving rules toward explicit security and testing requirements for AI models used in automated driving systems .
This marks a pivot from earlier work plans—such as the 2025 version focused heavily on EV remote services and power battery durability—toward enforceable guardrails for intelligence embedded in vehicles . International outlets characterized the blueprint as a move with potential to shape global automotive AI standards alongside EV and semiconductor standards .
MIIT identified automotive chips and automotive electronics as priority emerging fields requiring standards-led action, alongside intelligent connected vehicles (ICVs) . While earlier plans referenced high-performance chips in policy speeches, the 2026 document places chip standards inside the formal emerging-field leadership track, alongside ICV classification and data security standards .
Concurrently, the plan advances vehicle operating system and logical interface standards, along with software quality requirements and evaluation criteria, moving the software-defined vehicle architecture under enforceable technical rules .
The plan devotes a standalone Green and Low-Carbon Standards Renewal Action to raising EV and power battery safety standards . MIIT is tightening safety, performance, and compatibility requirements for new-energy vehicles, with specific work on vehicle quality and reliability and pre-research on solid-state battery standards .
Alongside physical driving standards, the plan accelerates intelligent connected vehicle data security work. It mandates mandatory national standards for ICV data security requirements and data interaction and management, while advancing standards for critical data identification, intrusion detection, and information security audit guidelines .
On the connectivity side, the plan completes review for digital key and direct-communication warning standards and accelerates technical requirements for platooning and connected-vehicle classification .
MIIT explicitly frames the 2026 plan as part of completing the automotive industry’s technical standards system blueprint under the 15th Five-Year Plan . Officials have already signaled the 2026–2030 development plan will cover intelligent connected and new-energy vehicles while promoting deeper integration of AI and the automotive industry .
The plan also emphasizes strengthening top-level standards system design and raising the effectiveness of international standards work . Reporting characterized the blueprint as a move to tighten technical requirements while reinforcing China’s dominance in EV and automobile manufacturing—and, crucially, to extend that influence into the rule-making processes that will govern automotive AI and semiconductor standards globally .