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Evidence-backed problem

The impact of AI on the labour market

This study explores the impact of artificial intelligence (AI) on the labour market, focusing on changes in job roles, skill requirements, and human resource (HR) practices. Unlike previous surveys that primarily addressed technological aspects, this research systematically integrates technological, organisational, and institutional perspectives. The literature review (2020–2025) shows that AI adoption is closely associated with rising demand for technical and interdisciplinary skills, restructuring of work role…

Management & Marketing · Labor

Evidence-backed problem

Skill-biased technological change in the age of AI: a theoretical analysis of automation and inequality

This paper develops a general equilibrium model to analyze how artificial intelligence (AI)–driven automation reshapes productivity, labor markets, and income distribution. The model features heterogeneous workers, endogenous automation decisions, and irreversible skill investment choices, allowing a unified examination of displacement, complementarity, and skill-supply responses. Automation substitutes for labor in routine tasks, reducing demand and wages for low-skilled workers, while simultaneously enhancing…

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Determinants of Artificial Intelligence Adoption in Public Sector Human Resource Management: Empirical Evidence from Kazakhstan

As governments worldwide seek to modernise public administration through digital technologies, understanding the drivers and barriers of Artificial Intelligence (AI) adoption in Human Resource Management (HRM) becomes critically important. This paper investigates determinants of AI adoption among civil servants in Kazakhstan using a largescale empirical survey of 12,562 public servants conducted in June 2025. We construct and validate composite indices of internal and external HR quality factors (Cronbach's α =…

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Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability

Introduction: As generative artificial intelligence (AI) is increasingly integrated into employees' daily workflows, it is profoundly reshaping the nature of work, which raises critical theoretical questions about how employees can build sustainable careers. Drawing on approach-avoidance motivation theory, this study distinguishes between two types of proactive employee adaptation to AI (i.e., AI job crafting): an approach-oriented type aimed at leveraging AI to expand job boundaries and enhance personal capabil…

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The Impacts of Generative AI on the Meaningfulness of Creative Work

Abstract Recent advances in Generative AI (GenAI) are transforming creative industries, raising urgent ethical questions. This paper explores the impacts of GenAI on the meaningfulness of work for specialist, embedded, and support creatives. By integrating Amabile’s componential model of creativity with a holistic framework of meaningful work, we explore five dimensions of meaningfulness: task integrity, skill cultivation, task significance, autonomy, and belongingness. We emphasize the dual impacts of GenAI, hi…

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A Triple-Intelligence Framework for Sustainable AI-Driven Workforce Analytics: Integrating Artificial Intelligence, Human Judgment, and Organizational Governance

The use of Artificial Intelligence (AI) within workforce analytics represents a paradigm shift in how organizations make decisions regarding their employees. While AI-enabled workforce analytics can enable proactive and predictive decision-making, the literature identifies multiple substantive risks associated with the use of AI in workforce analytics, namely: algorithmic opacity, automation bias, proxy-based discrimination, and employee surveillance. This literature gap was addressed through developing and vali…

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Redefining Accounting in the Digital Age: The Impact of Blockchain and Artificial Intelligence

The rapid advancement of emerging technologies, particularly blockchain and artificial intelligence (AI), is transforming the traditional landscape of the accounting profession. This study explores the impact of these technologies on accounting practices, auditing processes, financial reporting, and accounting education. Blockchain, with its decentralized, immutable, and transparent ledger system, has the potential to enhance data reliability, reduce fraud, and enable real-time auditing. Simultaneously, AI-drive…

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Relying on AI at work reduces self-efficacy, ownership, and meaning while active collaboration mitigates the effects

Artificial intelligence (AI) promises major productivity gains, but it also raises fundamental questions about how technology can reshape people's relationship to their work. Historical debates over industrialization warned that technological change could undermine people's connection to work and sense of meaning. Similar concerns now surround AI, where the key issue may not be whether AI is used, but how it is used. Across a pre-registered experiment (N = 269) and a follow-up survey (N = 270), we examine how di…

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Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy

Demand for expert-annotated data on the part of leading AI labs has created an expert gig economy with the potential to reshape white collar work and society’s understanding of expertise. In this research, we study the vision for the future of expertise described in the public communication of five industry data annotation organizations and their CEOs, as reflected on social media feeds and public appearances on podcasts. We find that the industry envisions AI expertise as cheap, meaning that it can offer a bett…

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Guest editorial: STARA (smart technology, AI, robotics and algorithms): implications for career research

Significant advancements in smart technology, AI, robotics and algorithms (STARA) are changing how organisations design and implement work for the current and future workforce. Understanding the implications of STARA on work attitudes and behaviours is gaining the attention of scholars and practitioners (e.g. Brougham and Haar, 2018; Raisch and Krakowski, 2021; Tang et al., 2023; Ulfert et al., 2024; Yam et al., 2023), with existing findings highlighting the varied and significant effects that different types of…

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Guest editorial: STARA (smart technology, AI, robotics and algorithms): implications for career research

Cybersecurity and Artificial Intelligence in the Asia Pacific: Threats Defenses and Governance Recommendations

This study examines interactions between artificial intelligence and cybersecurity across the Asia-Pacific, with emphasis on ASEAN governance, technical attack vectors and defensive trajectories. It synthesizes classifications of offensive and adversarial AI, detailing techniques such as data poisoning, model extraction, evasion attacks, adversarial perturbations and AI-driven social engineering, and highlights how agentic AI architectures expand attack surfaces via persistent memory, tool integrations and dynam…

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Cybersecurity and Artificial Intelligence in the Asia Pacific: Threats Defenses and Governance Recommendations

If AI makes human labor obsolete, who decides who gets to eat?

How will we be fed? That’s the biggest question not seriously being addressed amid all this talk about whether or not artificial intelligence will end up taking over all of our jobs. Formidable though the technology appears, similar fears have popped up repeatedly since the Industrial Revolution, and most working-age adults remain employed. Still, what is sorely missing is a serious debate about what to do if this future in fact materializes. For Open AI’s Sam Altman “the future can be vastly better than the pre…

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US workers overwhelmingly support union-backed policies on AI, poll says

US workers overwhelmingly support pro-worker policies on artificial intelligence (AI) and view labor unions as the most reliable protectors of workers from the effects of AI, according to a new poll released by the AFL-CIO, the largest federation of labor unions in the US. More than nine out of 10 workers surveyed expressed support for policies on artificial intelligence that labor unions may fight for, including 95% supporting a requirement that a human be the final decision maker on any issues affecting individua

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US workers overwhelmingly support union-backed policies on AI, poll says

AI job layoffs are here: it’s time to revive the push for shorter working hours | John Quiggin

The announcement that Australian software giant Atlassian will lay off 10% of staff has brought the debate over artificial intelligence (AI) and jobs closer to home. While a broader question about the usefulness of AI remains unresolved, there can be no remaining doubt that it has transformed the software industry, with developers reporting massive increases in productivity from the use of Anthropic’s AI-powered coding tool Claude. The spectre of AI-driven job losses has been the subject of much debate. But missing

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AI job layoffs are here: it’s time to revive the push for shorter working hours | John Quiggin

Third of university students in Great Britain think AI job losses will cause social unrest, poll finds

One in three university students think AI will wipe out jobs so rapidly it will trigger civil unrest, according to a survey by King’s College London (KCL). Students are among the heaviest users of AI, the poll found, with 77% using it at least a few times a month – compared with 46% of workers – and 27% using it daily or almost daily. They are also among the most pessimistic about AI’s economic impact. More than half said they were convinced job losses would be worse than in a normal recession. The findings are the

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