Skip to content
Review Open access

Human–AI Synergy in Workforce 5.0: A Comprehensive Review of Reskilling Strategies and Organizational Agility Frameworks

Jul 2026 · International Journal Of Recent Trends In Multidisciplinary Research · pp. 217 · 0 citations

TL;DR

The review reveals that Human–AI collaboration enhances productivity, innovation, decision-making quality, and workforce adaptability, and indicates that organizations adopting collaborative intelligence models achieve greater resilience and competitive advantage compared to those relying solely on automation-focused approaches.

Abstract

Background: The rapid advancement of Artificial Intelligence (AI), intelligent automation, and digital technologies is reshaping workforce dynamics across industries. Organizations are increasingly adopting AI-enabled systems to improve operational efficiency, innovation, and decision-making capabilities. This transformation has led to the emergence of Workforce 5.0, a human-centric paradigm that emphasizes collaboration between human intelligence and artificial intelligence to create agile, resilient, and future-ready organizations. Objective: This review aims to examine existing research on Human–AI synergy in Workforce 5.0, with a particular focus on reskilling strategies, workforce transformation, and organizational agility frameworks that support intelligent enterprise development. Review Methodology: A comprehensive literature review was conducted using peer-reviewed journal articles, conference papers, industry reports, and scholarly publications published between 2018 and 2026. Relevant studies were identified through academic databases including Google Scholar, Scopus, IEEE Xplore, SpringerLink, and ScienceDirect. The selected literature was analyzed using thematic synthesis to identify recurring trends, challenges, and emerging frameworks related to Human–AI collaboration. Key Findings: The review reveals that Human–AI collaboration enhances productivity, innovation, decision-making quality, and workforce adaptability. AI-driven learning platforms, personalized reskilling programs, and intelligent workforce analytics emerged as critical enablers of organizational agility. The findings further indicate that organizations adopting collaborative intelligence models achieve greater resilience and competitive advantage compared to those relying solely on automation-focused approaches. Conclusion: Workforce 5.0 represents a significant shift toward human-centered digital transformation, where AI augments rather than replaces human capabilities. Successful implementation requires continuous reskilling, adaptive organizational strategies, and integrated Human–AI collaboration frameworks. The review highlights the growing importance of balancing technological advancement with workforce development to achieve sustainable organizational performance in intelligent enterprises.

Read PDF

Similar papers

Conference Open access Aug 2026

HUMAN–AI COLLABORATION AS A NEW DETERMINANT OF GENERATION Z WORK PRODUCTIVITY IN THE ERA OF DIGITAL TRANSFORMATION: A SYSTEMATIC LITERATURE REVIEW

Digital transformation has fundamentally reshaped Human Resource Management (HRM) through the integration of Artificial Intelligence (AI) into organizational processes. Rather than functioning solely as a technology that replaces human labor, AI is increasingly recognized as an intelligent partner that augments human c...

Danang Aziz Akbarona · 0 citations
Review Open access Sep 2026

AI-ENABLED LEADERSHIP AGILITY: A SYSTEMATIC REVIEW INTEGRATING TALENT MANAGEMENT, GREEN FINANCE, AND SUSTAINABLE BUSINESS

Purpose: This study examines the role of artificial intelligence (AI) in leadership agility and its integration with talent management, green-finance decision processes, and sustainable business outcomes. Research Methodology: This study uses a PRISMA 2020-aligned systematic literature review. Peer-reviewed English-lan...

Wike Pertiwi, Budi Rismayadi, Irwan Purwanto et al. · 0 citations
#artificial intelligence Review Open access Oct 2026

Artificial Intelligence’s Transformative Impact on Management, Strategy, and Workplace Dynamics: A Systematic Literature Review

This systematic literature review synthesizes interdisciplinary evidence on how AI transforms leadership and management functions, drives business model innovation, and alters workplace dynamics, with particular attention to Southeast Asian and Philippine contexts.

Teodulfo Mahilum, Michelle Go, Rosemarie Magno et al. · 0 citations
Review Open access Aug 2026

Artificial intelligence and the reconfiguration of competency management systems in organizations

The findings show that AI-related competency change extends beyond technical skills toward hybrid and portfolio-based configurations that integrate technical understanding, managerial judgment, learning agility, governance capabilities, and psychological readiness, and demonstrates that no single framework sufficiently...

Maryann Osadebamwen Asemota · 0 citations
Review Open access Aug 2026

AI-Driven Leadership in Manufacturing Supply Chains: A Systematic Literature Review, Research Gaps Analysis, and Exploratory Study of Egyptian Manufacturing Firms

This study conceptualizes AI-driven leadership as a higher-order dynamic capability through which leaders sense AI-enabled opportunities and threats, seize them through strategic resource orchestration and governance, and reconfigure organizational and supply-chain capabilities to enhance intelligence, resilience, agil...

A. Gomaa · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.