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Zenodo
2024
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| Online Access: | https://doi.org/10.5281/zenodo.14630766 |
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| _version_ | 1866901266587713536 |
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| author | Rohan Chhatre |
| author_facet | Rohan Chhatre |
| contents | <p>The advent of Artificial Intelligence (AI) is profoundly reshaping the global employment landscape, particularly within the Information Technology (IT) sector. This research examines the dual-edged impact of AI on IT jobs, exploring both the displacement of routine tasks and the creation of advanced roles requiring specialized AI expertise. The study synthesizes quantitative and qualitative data from industry reports, academic studies, and case analyses to provide a comprehensive view of this transformation. Findings indicate that while AI automates repetitive tasks, such as system monitoring and basic coding, it simultaneously drives demand for roles like AI engineers, data scientists, and automation specialists. Additionally, the paper delves into the changing skill requirements, highlighting the need for upskilling in AI technologies, machine learning frameworks, and ethical considerations in AI deployment. By evaluating the challenges and opportunities AI presents, this research aims to inform strategies for workforce adaptation, emphasizing the importance of continuous learning and proactive policy development to mitigate negative impacts and maximize benefits. The findings underscore the critical need for a collaborative approach among organizations, governments, and educational institutions to prepare the IT workforce for an AI-driven future.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14630766 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Future of IT Jobs: AI Disruption and Skills Transformation Rohan Chhatre <p>The advent of Artificial Intelligence (AI) is profoundly reshaping the global employment landscape, particularly within the Information Technology (IT) sector. This research examines the dual-edged impact of AI on IT jobs, exploring both the displacement of routine tasks and the creation of advanced roles requiring specialized AI expertise. The study synthesizes quantitative and qualitative data from industry reports, academic studies, and case analyses to provide a comprehensive view of this transformation. Findings indicate that while AI automates repetitive tasks, such as system monitoring and basic coding, it simultaneously drives demand for roles like AI engineers, data scientists, and automation specialists. Additionally, the paper delves into the changing skill requirements, highlighting the need for upskilling in AI technologies, machine learning frameworks, and ethical considerations in AI deployment. By evaluating the challenges and opportunities AI presents, this research aims to inform strategies for workforce adaptation, emphasizing the importance of continuous learning and proactive policy development to mitigate negative impacts and maximize benefits. The findings underscore the critical need for a collaborative approach among organizations, governments, and educational institutions to prepare the IT workforce for an AI-driven future.</p> |
| title | The Future of IT Jobs: AI Disruption and Skills Transformation |
| url | https://doi.org/10.5281/zenodo.14630766 |