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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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  Published Paper Details:

  Paper Title

The Impact of Artificial Intelligence on Employment in MNCs in India: Challenges and Strategic Solutions

  Authors

  Ramya S,  Ramprasad S

  Keywords

Artificial Intelligence, Employment, Job Displacement, Automation, Workforce Adaptation, Multinational Corporations, India, Technological Advancement, Workforce Sustainability, Productivity Enhancement.

  Abstract


Artificial Intelligence (AI) is transforming industries worldwide, including multinational corporations (MNCs) in India. As AI-powered technologies, such as machine learning, robotic process automation, and natural language processing, become increasingly integrated into business operations, they are driving significant improvements in efficiency, productivity, and decision-making. AI enables companies to streamline processes, reduce operational costs, and enhance customer experiences by automating repetitive and time-consuming tasks. However, while AI presents immense opportunities for business growth and innovation, it also disrupts traditional employment patterns, leading to job displacement across various sectors. Roles that involve routine manual tasks, such as data entry, customer support, and manufacturing, are particularly vulnerable to automation. As AI-driven systems take over these functions, many employees face the risk of redundancy, requiring them to upskill or reskill to remain relevant in the evolving job market. The impact of AI on employment within Indian MNCs is multifaceted. While some jobs are eliminated, AI also creates new roles that require specialized skills in areas such as AI development, cybersecurity, data analytics, and ethical AI governance. Companies must invest in workforce development programs to equip employees with the necessary technical and soft skills to adapt to the changing employment landscape. Training initiatives, vocational programs, and collaboration with academic institutions can help bridge the skill gap and ensure a smooth transition for workers affected by automation. Moreover, businesses and policymakers must address key challenges posed by AI-driven automation, including ethical concerns, workforce displacement, and economic inequality. Ensuring that AI adoption is inclusive and benefits all segments of society requires a balanced approach. Strategies such as retraining initiatives, job redesign, and government-backed reskilling programs can help mitigate the adverse effects of automation while maximizing its benefits. In conclusion, AI is reshaping employment within Indian MNCs by driving efficiency while also necessitating workforce adaptation. Organizations must proactively implement policies that support continuous learning and skill development to create a sustainable workforce. By fostering a culture of innovation and inclusion, Indian MNCs can successfully navigate the AI revolution while ensuring long-term economic stability and job creation.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2502682

  Paper ID - 277928

  Page Number(s) - f831-f837

  Pubished in - Volume 13 | Issue 2 | February 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ramya S,  Ramprasad S,   "The Impact of Artificial Intelligence on Employment in MNCs in India: Challenges and Strategic Solutions", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 2, pp.f831-f837, February 2025, Available at :http://www.ijcrt.org/papers/IJCRT2502682.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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