Artificial Intelligence in Strategic Talent Development: A Literature Review of Frameworks for Workforce Readiness and Organizational Resilience (2020–2025)
DOI:
https://doi.org/10.60087/jklst.vol4.n4.004Abstract
The accelerated digitalization of high-risk sectors, including the oil and gas industry, has put a strain on superior workforce skills uniting the aspects of artificial intelligence (AI), big-data analytics, and cybersecurity skills. With the burgeoning skills gaps, cyber threats, and pressure to maintain organisational resilience because of Industry 4.0 and 5.0 technologies changing the landscape of operating spaces, organisations stand to face more challenges. This paper examines the way in which AI-based strategic talent development (STD) models can be used to improve workforce readiness and resilience in critical infrastructure environments. The systematic literature review (SLR) was performed based on PRISMA guidelines that utilised peer-reviewed articles published from 2020 to 2025. The IEEE Xplore, Scopus, ScienceDirect, and ACM Digital Library databases were searched to find the relevant research. High-quality studies amounting to seventy-five were chosen and followed up on the premise of industry applicability, technological depth and empirical rigor. The synthesis covers models of AI adoption, practices of working with the workforce, and the use of cybersecurity in high-risk industries, the oil and gas industry being primarily discussed. The review shows that AI-based skill mapping, custom learning opportunities, and human-AI interaction play a vital role in improving the level of workforce preparedness. All adoption models (TOE, TAM, UTAUT, and AI-readiness indices) have a complementary role in transforming technological competence into effective talent results. The alignment between the big-data analytics and AI-enhanced cybersecurity comforts predictive threat detection and contributes to the active organisational resilience. The results also indicate that a new Resilience Loop has emerged where adoption of AI, talent preparedness, resilient cybersecurity, and resilient organisational performance are connected.
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