---
title: "MIIT: Do a good job in industrial and information technology quality work in 2026, deepen AI empowerment for quality improvement"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/282477332.md"
description: "The Ministry of Industry and Information Technology issued a notice emphasizing quality work in the industrial and information technology sectors for 2026 and proposing to deepen the empowerment of quality improvement through artificial intelligence. The notice includes compiling an application panorama and transformation roadmap for \"Artificial Intelligence + Quality\" in various industries, clarifying key areas, implementation steps, and expected goals for each sector to guide enterprise transformation. Meanwhile, it aims to accelerate the integrated application of high-quality large models for quality and industrial intelligent agents to enhance the precision and efficiency of quality control"
datetime: "2026-04-13T02:51:29.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/282477332.md)
  - [en](https://longbridge.com/en/news/282477332.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/282477332.md)
---

# MIIT: Do a good job in industrial and information technology quality work in 2026, deepen AI empowerment for quality improvement

The General Office of the Ministry of Industry and Information Technology has issued a notice on doing a good job in quality work for the industrial and information technology sectors in 2026. The notice proposes to deepen the empowerment of quality improvement through artificial intelligence. It calls for organizing the compilation of an application panorama and transformation roadmap for "Artificial Intelligence + Quality" in key industries, clarifying the key areas, implementation steps, and expected goals for the integration of artificial intelligence and quality in various sectors, to provide clear guidance for enterprise transformation. It also aims to accelerate the integrated application of high-quality large models for quality and industrial intelligent agents, thereby enhancing the precision and efficiency of quality control.

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