Indian Journal of Industrial Relations: Economics & Social Dev.

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Future Proofing of Workforce Against Artificial Intelligence & Machine Learning Technologies


Affiliations
1 Faculty of Strategic Management, National Institute of Industrial Engineering, Mumbai 400087, India
2 Serial Entrepreneur & Co-Founder of Logicology Dev Nagar, Nagpur 440015, India
3 Co- Founder of Logicology, Dev Nagar, Nagpur 440015, India
     

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This article presents a perspective on future of work and evaluates the impact of advancements in Artificial Intelligence and Machine Learning technologies on Strategic HRM for organizations. The authors used theoretical incremental logical argumentation to build up the perspective of harmony to be achieved with natural intelligence of organizational human resources. As this technology develops and matures, organizations will automate most of the rule based “do as directed” tasks. Personne l , who c annot thi nk independently, solve unseen problems, make sense of data emanating from variety of sources and make context specific judgements will almost certainly become irrelevant. Organizations will employ fewer humans and shall have to hire those with new age skills.
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  • Future Proofing of Workforce Against Artificial Intelligence & Machine Learning Technologies

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Authors

Som Sekhar Bhattacharyya
Faculty of Strategic Management, National Institute of Industrial Engineering, Mumbai 400087, India
Kartik Vyas
Serial Entrepreneur & Co-Founder of Logicology Dev Nagar, Nagpur 440015, India
Gayatri Phadnis
Co- Founder of Logicology, Dev Nagar, Nagpur 440015, India

Abstract


This article presents a perspective on future of work and evaluates the impact of advancements in Artificial Intelligence and Machine Learning technologies on Strategic HRM for organizations. The authors used theoretical incremental logical argumentation to build up the perspective of harmony to be achieved with natural intelligence of organizational human resources. As this technology develops and matures, organizations will automate most of the rule based “do as directed” tasks. Personne l , who c annot thi nk independently, solve unseen problems, make sense of data emanating from variety of sources and make context specific judgements will almost certainly become irrelevant. Organizations will employ fewer humans and shall have to hire those with new age skills.

References