Embracing the AI/automation age: preparing your workforce for humans and machines working together

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)

Abstract

Purpose: This paper aims to highlight the crucial role of strategic human resource management and leadership in preparing workforces for the artificial intelligence (AI) and automation age. 

Design/methodology/approach: The paper adopts a conceptual approach, reviewing existing literature, drawing insights from industry experts, and real-world examples to develop a framework for preparing and sustaining workforces for the AI era. 

Findings: The paper finds that successfully integrating AI and automation in the workforce requires a proactive and strategic approach from HR leaders, emphasising the critical importance of aligning AI and automation strategies with overall business goals through strategic workforce planning. Developing an AI-literate and adaptable workforce is crucial for embracing AI-driven changes, necessitating the creation of new AI-centric roles and career pathways, innovative job models, and comprehensive upskilling programs. HR must act as a translator between humans and machines, fostering seamless collaboration, addressing cultural and ethical implications, and leading the charge. 

Research limitations/implications: The paper relies primarily on conceptual arguments and anecdotal evidence from industry experts. 

Practical implications: The paper provides actionable insights for HR leaders to foster sustainable AI transitions within workforces. 

Social implications: The paper highlights the potential social implications such as job displacement concerns and the need for reskilling and upskilling initiatives. It emphasises the importance of proactively addressing these concerns through clear communication, job security measures, and learning and development opportunities. 

Originality/value: The paper offers a fresh perspective on the role of HR in the AI era, positioning HR leaders as strategic enablers of sustainable human-machine collaboration. It synthesises insights from various sources to provide a comprehensive framework for workforce preparation, emphasising the importance of aligning AI adoption with workforce development initiatives.

Original languageEnglish
Pages (from-to)32-48
Number of pages17
JournalStrategy and Leadership
Volume53
Issue number1
Early online dateDec 2024
DOIs
Publication statusPublished - 17 Jan 2025

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