The Uttarakhand pharmaceutical industry has become one of the most vibrant sectors in India due to the favorable policies, industrial test belts and natural resources. Nevertheless, to continue this growth, there is the need to overcome some urgent issues, especially the lack of talent, skills gap, and how industrial growth can be aligned to achieve sustainable development. Artificial intelligence (AI) is a revolutionary prospect as it improves drug discovery, efficiency in the manufacturing process, and human resource management simultaneously. In this context, AI-based recruitment is becoming popular as a strategy facilitator of organizational performance. AI recruitment can enhance the quality and efficiency of the workforce by the automation of screening procedures, reducing bias, and advancing better candidate-job comfort, which is the crucial provision of a continuous stream of skilled workers necessary to drive pharmaceutical innovation. Such systems in the context of Uttarakhand would help trigger the development of that region through the creation of employment, innovation, and development aligned with ecological sustainability. Although the adoption of AI will result in efficiency and inclusivity, issues like privacy of information, prejudice of algorithms, and adherence to regulations will need to be carefully monitored. This paper conceptualizes AI recruiting systems as more than just technology-based devices- AI recruiting systems are more of a strategic process that will create a bridge between pharmaceutical workforce change and sustainable industrial development in Uttarakhand. The results point to the benefits of AI recruitment in the establishment of a resilient and future-oriented pharmaceutical enterprise that can promote innovation and achieve overall socio-economic and environmental goals.
Kanchanlata Sinha Dharmendra Kumar (Mon,) studied this question.