Authors : Ripunjoy Sarkar

Volume/Issue : Volume 10 - 2025, Issue 12 - December

Google Scholar : https://tinyurl.com/jkr7bk9j

Scribd : https://tinyurl.com/8v4em9u5

DOI : https://doi.org/10.38124/ijisrt/25dec1433

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Artificial Intelligence (AI) is rapidly evolving from a supportive technology into a foundational layer of modern software development and digital work environments. This paper explores how AI will transform the daily professional life of technology practitioners—including software engineers, UI/UX designers, architects, and project managers—over the next five years. It examines the integration of AI-driven assistants into coding workflows, design systems, project management, and continuous learning, highlighting a shift from manual, task-oriented work to idea-driven, strategic collaboration with intelligent systems. The study discusses the emergence of AI as a co-pilot in software development, capable of autonomous code generation, refactoring, testing, and security enforcement, while simultaneously reshaping design practices through adaptive user interfaces and automated usability testing. Additionally, the paper analyzes the role of AI in organizational coordination, personalized skill development, and ethical decision-making, emphasizing the need for human oversight and value alignment. Rather than replacing technology professionals, AI is positioned as an augmentative force that enhances creativity, productivity, and decision quality. The paper concludes that successful future tech professionals will be those who adapt to AI-augmented workflows and focus on higher-order problem solving, ethical governance, and human-centered innovation.

References :

1. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed. Pearson, 2021.
2. E. Brynjolfsson and A. McAfee, The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company, 2016.
3. D. Autor, “Why Are There Still So Many Jobs? The History and Future of Workplace Automation,” Journal of Economic Perspectives, vol. 29, no. 3, pp. 3–30, 2015.
4. T. Davenport and R. Kalakota, “The Potential for Artificial Intelligence in Healthcare,” Future Healthcare Journal, vol. 6, no. 2, pp. 94–98, 2019.
5. OpenAI, “GPT-4 Technical Report,” OpenAI, 2023.
6. GitHub, “GitHub Copilot: Your AI Pair Programmer,” GitHub Documentation, 2023.
7. M. Amershi et al., “Guidelines for Human-AI Interaction,” in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, ACM, pp. 1–13, 2019.
8. J. Jumisko-Pyykkö and J. Väänänen-Vainio-Mattila, “Framing the Design Space for User Experience Goals,” Human-Computer Interaction, vol. 25, no. 4, pp. 303–354, 2010.
9. World Economic Forum, The Future of Jobs Report 2023. World Economic Forum, Geneva, Switzerland, 2023.
10. McKinsey Global Institute, The Economic Potential of Generative AI: The Next Productivity Frontier, McKinsey & Company, 2023.
11. ISO/IEC, “ISO/IEC 27001: Information Security Management Systems,” International Organization for Standardization, 2022.
12. OWASP Foundation, “OWASP Top 10 Web Application Security Risks,” 2023.
13. A. Ng, “AI Is the New Electricity,” Harvard Business Review, Nov. 2017.
14. B. Shneiderman, Human-Centered AI. Oxford University Press, 2022.