Artificial Intelligence and Job Security
Keywords:
Automation Anxiety, Technological Readiness, Workforce Preparedness, Hyderabad, Corporate ProfessionalsAbstract
NITI Aayog’s 2025 roadmap reveals that, over 60% of India’s formal sector jobs face significant automation risk by 2030, with IT and BPO industries among the most critically vulnerable sectors. This can be a huge disruption in the job market and will affect millions but, very little research has studied what corporate workers are feeling about this situation at present. Most of the studies done till now are based on Western work environments which do not relate well to India’s diverse & unique professional environment. This study focuses exclusively on the working professionals of Hyderabad by measuring three aspects about them- how scared they are about AI taking over, how ready they are for this transformation and how aware they are about ways to handle this situation. Hyderabad, as one of India’s fastest growing tech and business hubs, presents a very relevant setting to study this issue. The study is conducted using a primary research methodology wherein, working professionals will be surveyed with a questionnaire which will serve as the research data for this study. The collected data will then be analysed using descriptive statistics and analysis to identify various patterns, perceptions, awareness and attitude of professionals towards this situation. The central hypothesis of this study proposes that while the threat of AI taking over is widely felt in corporate setting, technological readiness and awareness of coping mechanisms remain critically low, which shows a significant gap between the perceived threat and actual preparedness. The study is meant to create a new knowledge base about how automation is mentally affecting the professionals, how prepared the workforce is and how much professionals know about handling this situation. These are the gaps in the existing studies and this study aims to fill them. The findings of this study are intended to offer practical implications for corporate organisations, HR professionals and policymakers of India for building an automation- resilient workforce.
References
Ali T, Hussain I, Hassan S, Anwer S. Examine how the rise of AI and automation affects job security, stress levels, and mental health in the workplace. Bull Bus Econ. 2024;13(2):1180–1186.
Alarefi M. The impact of artificial intelligence on business performance in Saudi Arabia: The role of technological readiness and data quality. Eng Technol Appl Sci Res. 2024;14(5):16802–16807.
Hasnat ARB. The effects of AI adoption in the workplace on employee stress, job security anxiety, and well-being. Int J Manag. 2026.
Belhaj M, Kebair F, Said LB. Emotional dynamics and coping mechanisms to generate human-like agent behaviors. Appl Artif Intell. 2017;31(5-6):472–492.
Everson B. Adapting or avoiding AI: A coping theory approach to employee responses in the future of work. 2026.
Hoque MA, Mahmood R, Ali R, Rosli NS, Hossain MM. Drivers of AI adoption in banks in Bangladesh: The moderating role of technology readiness. ICRRD J. 2025;6(4):231–246.
Jamil K, Zhang W, Anwar A, Mustafa S. Exploring the influence of AI adoption and technological readiness on sustainable performance in Pakistani export sector manufacturing small and medium- sized enterprises. Sustainability. 2025;17(8):3599.
Nasaj M, Badi S, Murtagh N, Ding L. Collective AI anxiety and team innovative behaviour: The role of coping strategies. Constr Innov. 2025.
Titare P, Venkatesh M, Shruthi K, Arunkumar D, Krishna DIM. Artificial intelligence, social support systems, and coping mechanisms; theoretical framework. TPM Test Psychom Methodol Appl Psychol. 2025;32.
Wu TJ, Liang Y, Wang Y. The buffering role of workplace mindfulness: How job insecurity of human-artificial intelligence collaboration impacts employees’ work–life-related outcomes. J Bus Psychol. 2024;39(6):1395–1411.
