Artificial Intelligence and the Skill Gap in Big Tech: Workforce Adaptation, Organisational Risks, and Emerging Competencies

Abstract

Artificial intelligence has rapidly transformed organisational operations across the global technology sector, particularly within large technology corporations commonly referred to as Big Tech. While the integration of artificial intelligence systems has generated new efficiencies and innovation opportunities, it has simultaneously exposed a widening skill gap between organisational technological demands and the competencies available within the workforce. This study examines how the implementation of artificial intelligence in Big Tech firms influences workforce skill requirements, organisational risks, and professional development strategies. Using a qualitative research design, primary data were collected through structured open ended interviews with nine participants connected to the technology industry across multiple countries. The data were analysed using thematic analysis with the support of QDA Miner software, allowing the identification of recurring patterns within participant responses. The findings reveal five major themes. First, the perceived value of formal education has shifted as employers increasingly prioritise artificial intelligence related competencies over traditional academic credentials. Second, organisations now demand a combination of advanced technical capabilities and adaptable soft skills, particularly in areas such as artificial intelligence integration, cloud computing, and data analysis. Third, the skill gap introduces significant organisational risks, including shortages of specialised talent, ethical concerns surrounding artificial intelligence usage, and the potential overestimation of technological capabilities. Fourth, Big Tech firms are responding through large scale upskilling and reskilling initiatives aimed at strengthening workforce readiness. Finally, participants widely perceive artificial intelligence as a complement rather than a replacement for highly skilled human labour, although routine tasks may continue to be automated. The study contributes to current discourse on technological labour market transformation by providing qualitative insight into how individuals within the technology sector interpret and respond to the evolving demands created by artificial intelligence adoption.