AI AGILITY: REIMAGINING EMPLOYEE UPSKILLING IN MULTINATIONAL CORPORATIONS
Abstract The paper concentrates on Indian Perspective on Human-AI collaboration, continuous learning and responsible workforce transformation. Artificial intelligence is changing the content of work more quickly than conventional training systems can respond. The central workforce question for multinational corporations (MNCs) is therefore no longer whether employees will work with AI, but how employees can acquire the judgement, technical confidence, domain knowledge and human capabilities required to work productively with it. This paper revisits the employee-upskilling problem examined in two earlier papers contained in the source document and develops a fresh, India-centred framework for AI-era workforce development. The study follows an exploratory secondary-data design and draws on published research, Indian policy documents, industry reports and the author's related studies on artificial intelligence, information technology, cloud services, knowledge management and employment. The analysis proposes that effective upskilling should move through five linked stages: AI awareness, AI-enabled use, workflow integration, AI building and advanced AI expertise. Alongside technical capabilities, the framework places critical thinking, communication, empathy, ethical judgement, collaboration and continuous learning at the centre of workforce resilience. Indian evidence indicates that the skills challenge is substantial but also that a large institutional ecosystem is emerging through the IndiaAI Mission, FutureSkills PRIME, industry-academia partnerships and corporate learning programmes. The paper argues that MNCs should treat upskilling not as a short-term training activity but as a continuous capability system connected to job redesign, internal mobility, responsible AI governance and measurable business outcomes. Keywords: Artificial Intelligence; Employee Upskilling; Reskilling; Multinational Corporations; Human–AI Collaboration; Future Skills; India; Responsible AI
Authors
- Himanshu Agarwal (ORCID: https://orcid.org/0000-0002-5715-3302)
Institutions
- Deva Nagri College (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-28
- DOI
- https://doi.org/10.5281/zenodo.23019803
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00