The Impact of AI technologies on salary and industry demand for software engineering roles in Sri Lanka
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Date
2025
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Department of Computer Science & Engineering
Abstract
The rapid integration of Artificial Intelligence (AI) technologies has transformed the global software engineering industry, and this change is no exception in Sri Lanka. This research study focuses on the impact of AI on salary trends, job role demands, and evolving skill requirements within Sri Lanka's software engineering sector. This study examined survey responses and analyzed LinkedIn job postings to identify the overarching trends: the surging demand for AI-centric roles, such as machine learning engineers, data scientists, and AI specialists, while the traditional roles like software developers are being redefined and specialized. It also investigates how dependence on AI is growing and focuses on the automatic code generation platforms, intelligent debugging assistants, and AI-driven testing frameworks, providing additional resources to accelerate software development process of software, enhancing productivity, and bringing quality to code. It calls for a complete set of new skills, which are machine learning, natural language processing, and AIbased software testing, in addition to bringing more efficiency into the workflow. Upskilling and educational reforms are crucial to addressing skill gaps created by AI in the software engineering landscape. It aims to provide actionable insights to industry stakeholders, educators, and policymakers on adapting to the AI-driven transformations necessary to maintain competitiveness of Sri Lanka in the software engineering workforce.
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Citation
De Silva, P., & Hewapathirana, I. (2025). The Impact of AI technologies on salary and industry demand for software engineering roles in Sri Lanka. Applied Data Science & Artificial Intelligence (ADScAI) Symposium 2025: Proceedings of Applied Data Science & Artificial Intelligence Symposium 2025. (PP. 19-20).Department of Computer Science & Engineering, University of Moratuwa. https://doi.org/10.31705/ADScAI.2025.03
