{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T18:11:30Z","timestamp":1790878290044,"version":"4.1.0"},"reference-count":70,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"2024 Science and Technology Innovation Think Tank Project of the Fujian Provincial Science and Technology Association","award":["FJKX2024XKB007"],"award-info":[{"award-number":["FJKX2024XKB007"]}]},{"name":"2024 Major Project of the Fujian Provincial Social Science Research Base","award":["FJ2024JDZ036"],"award-info":[{"award-number":["FJ2024JDZ036"]}]},{"name":"2024 Fujian Provincial Undergraduate Colleges and Universities Education and Teaching Research Project General Project","award":["FBJY20240237"],"award-info":[{"award-number":["FBJY20240237"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>Ultra-high voltage (UHV) transmission projects are a key component of China\u2019s energy supply-side reforms, improving the efficiency and reliability of the power system. While their macro-level importance is well recognized, evidence on their impact on firm-level artificial intelligence (AI) development remains limited. This study addresses this gap by exploiting the staggered rollout of UHV transmission projects across prefecture-level cities as a quasi-natural experiment. Using a multi-period difference-in-differences (DID) approach on a panel of Chinese listed enterprises from 2007 to 2023, this study finds that UHV transmission projects significantly promote enterprises\u2019 AI development. The effect is stronger for non-state-owned enterprises, enterprises located in inland regions, enterprises with CEO-chair duality, and high-tech enterprises. Mechanism analyses show that UHV transmission projects enhance enterprises\u2019 AI development by strengthening technological innovation, expanding enterprises\u2019 organizational resource base, and improving regional financial development. Further analyses indicate that UHV transmission projects also improve resource allocation efficiency and alleviate development bottlenecks. By linking physical energy infrastructure with firm-level AI development, this study highlights the importance of reliable electricity supply for technology adoption and digital transformation.<\/jats:p>","DOI":"10.1371\/journal.pone.0355269","type":"journal-article","created":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T17:52:26Z","timestamp":1790877146000},"page":"e0355269","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Energy infrastructure construction and enterprises\u2019 Artificial Intelligence development: Evidence from China\u2019s ultra-high voltage transmission projects"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8190-0224","authenticated-orcid":true,"given":"Wenhe","family":"Lin","sequence":"first","affiliation":[{"name":"Fujian Agriculture and Forestry University","place":["Fuzhou, China"],"department":["College of Economics and Management"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yumin","family":"Guo","sequence":"additional","affiliation":[{"name":"Fujian Agriculture and Forestry University","place":["Fuzhou, China"],"department":["College of Economics and Management"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingxuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Fujian Agriculture and Forestry University","place":["Fuzhou, China"],"department":["College of Economics and Management"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2640-9207","authenticated-orcid":true,"given":"Qiuwang","family":"Cheng","sequence":"additional","affiliation":[{"name":"Fujian Agriculture and Forestry University","place":["Fuzhou, China"],"department":["College of Economics and Management"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,10,1]]},"reference":[{"key":"pone.0355269.ref001","doi-asserted-by":"crossref","first-page":"130778","DOI":"10.1016\/j.energy.2024.130778","article-title":"The energy saving effects of digital infrastructure construction: Empirical evidence from Chinese industry","volume":"294","author":"L Wang","year":"2024","journal-title":"Energy"},{"key":"pone.0355269.ref002","doi-asserted-by":"crossref","first-page":"100932","DOI":"10.1016\/j.jik.2025.100932","article-title":"How does energy infrastructure affect corporate innovation? 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