{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T10:54:24Z","timestamp":1776682464473,"version":"3.51.2"},"reference-count":42,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T00:00:00Z","timestamp":1740700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>This paper critically examines the expanding body of literature on ChatGPT, a transformative AI tool with widespread global adoption. By categorising research into six key themes\u2014sustainability, health, education, work, social media, and energy\u2014it explores ChatGPT\u2019s versatility, benefits, and challenges. The findings highlight its potential to enhance productivity, streamline workflows, and improve access to knowledge while also revealing critical limitations, including high energy consumption, informational inaccuracies, and ethical concerns. The paper underscores the need for robust regulatory frameworks, sustainable AI practices, and interdisciplinary collaboration to optimise benefits while mitigating risks. Future research should focus on improving ChatGPT\u2019s reliability, inclusivity, and environmental sustainability to ensure its responsible integration across diverse sectors.<\/jats:p>","DOI":"10.3390\/bdcc9030056","type":"journal-article","created":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T06:45:42Z","timestamp":1740725142000},"page":"56","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["ChatGPT\u2019s Impact Across Sectors: A Systematic Review of Key Themes and Challenges"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1238-1715","authenticated-orcid":false,"given":"Hussam","family":"Hussein","sequence":"first","affiliation":[{"name":"Department of Politics and International Relations (DPIR), University of Oxford, Oxford OX1 3UQ, UK"}]},{"given":"Madelina","family":"Gordon","sequence":"additional","affiliation":[{"name":"Somerville College, University of Oxford, Oxford OX2 6HD, UK"}]},{"given":"Cameron","family":"Hodgkinson","sequence":"additional","affiliation":[{"name":"Somerville College, University of Oxford, Oxford OX2 6HD, UK"}]},{"given":"Robert","family":"Foreman","sequence":"additional","affiliation":[{"name":"Somerville College, University of Oxford, Oxford OX2 6HD, UK"}]},{"given":"Sumaya","family":"Wagad","sequence":"additional","affiliation":[{"name":"Somerville College, University of Oxford, Oxford OX2 6HD, UK"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,28]]},"reference":[{"key":"ref_1","unstructured":"Open AI (2022). 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