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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v9i7.11367</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Intelligent Manufacturing Revolution: Innovation Practices of High-Skilled Talents in the Digital Transformation Era</title><url>https://artdesignp.com/journal/JCER/9/7/10.26689/jcer.v9i7.11367</url><author>XuMengxin,ZhangYu,GanWufang,HuangJianhao</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>7</issue><history><date date-type="pub"><published-time>2025-07-31</published-time></date></history><abstract>The global manufacturing industry is accelerating its digital transformation, while China’s intelligent manufacturing faces structural reshaping of high-skilled talents and innovation challenges. Through extensive research, this study analyzes and summarizes specific directions for talent demand and development pathways under intelligent manufacturing, while profoundly revealing the practical dilemmas encountered by China’s skilled workforce in innovation practices. The research indicates that digital transformation essentially constitutes knowledge system reconstruction, requiring the establishment of collaborative mechanisms integrating technological convergence, institutional innovation, and cultural incentives to promote systematic industrial upgrading in manufacturing.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>McKinsey &amp; Company. (2023). Global Industrial Digitalization Survey 2023. 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