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Stream/Area:
-
Subject:
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Paper ID:
IJSREM62801
Volume:
10 |
5 |
May 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Master of Science (MSc) in Computer Science
PVG's College of Science & Commerce

Master of Science (MSc) in Computer Science
PVG's College of Science & Commerce

Master of Science (MSc) in Computer Science
PVG's College of Science & Commerce
This research paper explores the dichotomy of Artificial Intelligence (AI) in the modern workforce, focusing on both its destructive and constructive capabilities. The study specifically examines how Generative AI is reshaping creative industries, leading to job displacement for traditional roles like graphic designers while simultaneously democratizing creativity for non-experts [1][2][5]. A descriptive research design was used, and primary data was collected through a structured questionnaire circulated among students and working professionals. The findings reveal a sharp division: while AI poses a significant threat to specific job roles by automating creative outputs such as images, videos, and layouts, it positively impacts organizational efficiency by drastically reducing the manpower required for complex projects [3][4]. The study concludes that the future workforce must pivot from purely technical execution to strategic management of AI tools to survive this transition [6][8][10].
KEYWORDS
The impact of AI on careers is not a simple good or bad outcome. It is a trade-off. The negative reality is that specialized roles like graphic design are diminishing, leading to job insecurity for those who rely only on manual content creation. AI tools are replacing several technical tasks such as layout generation, image creation, background removal, concept generation, and video storyboarding [5][9][10]. The positive reality is the explosion of productivity. Businesses can now operate with a fraction of the workforce, and non-experts are empowered to create professional-grade outputs using AI prompts [2][4][8]. To remain relevant, professionals must stop competing with AI by trying to design faster than a bot. Instead, they must collaborate with AI by becoming strategists, curators, editors, and decision-makers who direct AI-generated work effectively [8][10].
[1] McKinsey & Company. (2023). Generative AI and the Future of Work in America. Link: https://www.mckinsey.com/mgi/our-research/generative-ai-and-the-future-of-work-in-america Source verified from McKinsey’s report page. [2] Adobe. (2024). State of Creativity Report 2024 / Generative AI and Creative Workflows. Link: https://www.adobe.com/content/dam/cct/creativecloud/business/teams/whitepapers/dotcom-116728/Adobe_StateofCreativity_Report_2024_FV_UE.pdf Source verified from Adobe’s 2024 creativity report. [3] Harvard Business Review. (2023). How Generative AI Changes Strategy. Link: https://hbr.org/podcast/2023/05/how-generative-ai-changes-strategy Source verified from Harvard Business Review. [4] Goldman Sachs. (2023). Generative AI Could Raise Global GDP by 7%. Link: https://www.goldmansachs.com/insights/articles/generative-ai-could-raise-global-gdp-by-7-percent Source verified from Goldman Sachs Research. [5] Design Week. (2025). Graphic Design Among Most At-Risk Jobs from AI – Report. Link: https://www.designweek.co.uk/graphic-design-among-most-at-risk-jobs-from-ai-report/ Source verified from Design Week. [6] Acemoglu, D., & Restrepo, P. (2019). Automation and New Tasks: How Technology Displaces and Reinstates Labor. Journal of Economic Perspectives. Link: https://www.aeaweb.org/articles?id=10.1257/jep.33.2.3 Source verified from American Economic Association. [7] Autor, D. (2022). The Labor Market Impacts of Technological Change. Link: https://shapingwork.mit.edu/wp-content/uploads/2023/10/Autor-May-2022.pdf Source verified from MIT Shaping the Future of Work. [8] Brynjolfsson, E., Li, D., & Raymond, L. R. (2023). Generative AI at Work. NBER Working Paper Series. Link: https://www.nber.org/papers/w31161 Source: NBER Working Paper Series. [9] Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023). GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. Link: https://openai.com/index/gpts-are-gpts/ Source verified from OpenAI. [10] Frey, C. B., & Osborne, M. A. (2023). Generative AI and the Future of Work: A Reappraisal. Oxford Martin School. Link: https://www.oxfordmartin.ox.ac.uk/publications/generative-ai-and-the-future-of-work-a-reappraisal Source verified from Oxford Martin School.
Publication Date
5/7/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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