{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T02:18:33Z","timestamp":1773195513302,"version":"3.50.1"},"reference-count":55,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T00:00:00Z","timestamp":1752019200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>With the development of AI technology, the employment mode of companies is undergoing unprecedented changes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The paper defines the composition of blended human resources of a company as three types of formal employees, flexible workers and intelligent machine workers, constructs a blended human resource contribution rate calculation method based on BP-MIV, and analyzes the data of automobile manufacturing companies in 2022.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The results show that the contribution rate of blended human resources to company performance is 73.81%. Among them, the contribution rate of formal employees is 19.55%, while flexible workers and intelligent machine workers, despite their significantly smaller proportion in number compared to formal employees, have contribution rates of 20.26% and 34.00%, respectively. In further discussions, the calculation results of the blended human resource contribution rate based on the production function method were compared with those based on the BP-MIV method.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>The findings indicate that the BP-MIV-based calculation method exhibits certain advantages in capturing nonlinear relationships, such as the synergistic effects of various types of blended human resources on company performance. This study attempts to propose a preliminary theoretical framework and methodological approach for blended human resource management research in the AI era.<\/jats:p><\/jats:sec>","DOI":"10.3389\/frai.2025.1645172","type":"journal-article","created":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T14:52:02Z","timestamp":1752072722000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["AI-enabled workforce integration: blended human resource contribution rate in Chinese companies"],"prefix":"10.3389","volume":"8","author":[{"given":"Kexin","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Cisheng","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Manman","family":"Ge","sequence":"additional","affiliation":[]},{"given":"Teng","family":"Liu","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2025,7,9]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1488","DOI":"10.1257\/aer.20160696","article-title":"The race between man and machine: implications of technology for growth, factor shares, and employment","volume":"108","author":"Acemoglu","year":"2018","journal-title":"Am. 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