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Labor·The Trace·Automated dual reading·Published 2026-07-20

use of AI, automation and analytics in human resource management to manage talent and design organizations

Source article: Technology-Driven Change in Human Resource Management: Reshaping Talent Management and Organizational Design

The digital transformation of human resource management is fundamentally reshaping how organizations manage talent and design their structures. However, a comprehensive understanding of the drivers, impacts, and implementation challenges of this shift is critically needed. The purpose of this review is to consolidate recent literature to provide a holistic overview of this technology-driven evolution. It examines key technological drivers—such as artificial intelligence, automation, and data analytics—and their…

TRV-2026-0446Peer-reviewedPermanent record — cite & verify
Trace impact reading

Contested: both sides are scored from claims and sources, not community votes.

P 67The P score combines the specificity and measured human impact of the grounded problem claim with the strength of this Trace’s cited sources.G 68The G score combines the specificity and measured human impact of the grounded gain claim with the strength of this Trace’s cited sources.
Technology-Driven Change in Human Resource Management: Reshaping Talent Management and Organizational Design

"File:The Human Resources team (20740672110).jpg" by University of the Fraser Valley is licensed under CC BY 2.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/2.0/.

The quick read

Published 19 November 2025, this peer-reviewed review in Administrative Sciences consolidates recent literature on technology-driven change in human resource management. It examines AI, automation and data analytics as drivers and assesses their impact on talent acquisition, development and retention and on organizational design.

The synthesis matters for labor because it links AI adoption to concrete workplace practices and structures, while also flagging that implementation challenges persist. What remains uncertain is how to govern ethical AI use, protect employee well-being longitudinally, and account for differences across sectors.

Main points
  • Review consolidates recent literature on digital transformation of human resource management.
  • Key drivers examined are artificial intelligence, automation, and data analytics.
  • Impacts analyzed include talent acquisition, development, and retention and shift toward agile organizational designs.
  • Article also outlines strategic frameworks for digital adoption and identifies common pitfalls and future research needs.
Gain

Adoption of AI, automation and data analytics in HR is improving how organizations handle talent acquisition, development and retention and enabling more agile organizational designs.

Problem

Digital HR transformation faces common implementation pitfalls and unresolved gaps in ethical AI governance and longitudinal employee well-being.

The rundown

The review examines artificial intelligence, automation and data analytics as drivers of change in human resource management, focusing on how they affect talent acquisition, development and retention.

It also analyzes the move toward more agile organizational designs, presents strategic frameworks for successful digital adoption, notes common pitfalls, and points to future research on ethical AI governance, employee well-being over time, and sector-specific outcomes.

What this doesn’t fix

Review identifies remaining gaps in ethical AI governance, longitudinal employee well-being, and sector-specific outcomes that require future research.

Sources

Reader signal

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