Published on: September 2026
ARTIFICIAL INTELLIGENCE AND THE FUTURE OF THE LABOUR MARKET: OPPORTUNITIES, CHALLENGES AND ECONOMIC IMPLICATIONS
AISWARYA P
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Abstract
Keywords: Artificial Intelligence, Labour Market, Employment, Job Displacement, Productivity, Reskilling, Economic Implication,Economic growth,Economic development
How to Cite this Paper
P, A. (2026). Artificial Intelligence and the Future of the Labour Market: Opportunities, Challenges and Economic Implications. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(9), 1-9. https://doi.org/10.55041/ijcope.v2i9.137
P, AISWARYA. "Artificial Intelligence and the Future of the Labour Market: Opportunities, Challenges and Economic Implications." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 9, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i9.137.
P, AISWARYA. "Artificial Intelligence and the Future of the Labour Market: Opportunities, Challenges and Economic Implications." International Journal of Creative and Open Research in Engineering and Management 02, no. 9 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i9.137.
References
Artificial Intelligence represents one of the most significant technological developments influencing the contemporary labour market. Its effects extend beyond simple job replacement, as AI simultaneously automates tasks, transforms occupations, creates new forms of employment and increases the productivity of human labour. The future labour market is therefore likely to be characterised by a greater interaction between human capabilities and intelligent technologies.The economic implications of AI are complex. On the positive side, AI can enhance productivity, reduce operational costs, improve the quality of decision-making, generate new industries and create employment opportunities in emerging technological fields. At the same time, automation can create employment displacement, skill mismatches, wage inequalities and greater insecurity for workers engaged in routine and easily automated activities.
The central challenge is therefore not whether AI should be adopted, but how its benefits can be distributed inclusively while its adverse labour-market consequences are managed effectively. Education, reskilling, social protection, responsible regulation and investment in digital infrastructure will be critical in achieving this objective.
For developing economies such as India, AI presents both a considerable opportunity and a policy challenge. A well-prepared workforce can use AI to increase productivity and generate new economic opportunities, whereas inadequate access to skills and technology may deepen existing inequalities. Consequently, human capital development should remain at the centre of AI-related economic policy.
In conclusion, AI is unlikely to produce a labour market consisting simply of “jobs lost” and “jobs created.” Instead, it will produce a restructured labour market in which the nature of work, required skills, productivity and patterns of income distribution change significantly. The future outcome will depend largely on how governments, businesses, educational institutions and workers respond to this transformation. A human-centred approach to AI adoption can ensure that technological progress contributes not only to economic efficiency but also to decent employment, inclusive growth and sustainable socio-economic development.
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- •Published on: Sep 19 2026
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