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All Job Displacement Hiring & Screening New Roles & Skills Workplace Monitoring

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AI and employee wellbeing in the workplace: An empirical study

The integration of artificial intelligence (AI) in workplace settings significantly affects employees, particularly their wellbeing. Despite its growing relevance, the impact of AI on employee wellbeing remains underexplored. To address this gap, we conducted a survey and employed structural equation modeling to analyze data from Finnish and international companies headquartered in Finland (n = 207). We found that AI adoption does not directly impact employee wellbeing but indirectly influences it through work-r…

Journal of Business Research · Labor

AI and employee wellbeing in the workplace: An empirical study

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The impact of AI literacy on work–life balance and job satisfaction among university faculty: a self-determination theory perspective

Introduction: The emergence of artificial intelligence (AI) is transforming the nature of academic work, yet the role of AI literacy in supporting faculty well-being remains underexplored. This study investigates how AI literacy influences university faculty's work-life balance and job satisfaction through the satisfaction of three basic psychological needs. Methods: Survey data were collected from 511 faculty members. Measures included AI literacy, perceived autonomy, perceived competence, perceived relatedness…

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GDPVAL: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

We introduce GDPval, a benchmark evaluating AI model capabilities on realworld economically valuable tasks. GDPval covers the majority of U.S. Bureau of Labor Statistics Work Activities for 44 occupations across the top 9 sectors contributing to U.S. GDP (Gross Domestic Product). Tasks are constructed from the representative work of industry professionals with an average of 14 years of experience. We find that frontier model performance on GDPval is improving roughly linearly over time, and that the current best…

Labor

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The Health-Wealth Gradient in Labor Markets: Integrating Health, Insurance, and Social Metrics to Predict Employment Density

Labor market forecasting relies heavily on economic time-series data, often overlooking the “health–wealth” gradient that links population health to workforce participation. This study develops a machine learning framework integrating non-traditional health and social metrics to predict state-level employment density. Methods: We constructed a multi-source longitudinal dataset (2014–2024) by aggregating county-level Quarterly Census of Employment and Wages (QCEW) data with County Health Rankings to the state lev…

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AI job worries grow. But some human skills can’t be replaced by machines | Gaynor Parkin and Dave Winsborough

Earlier this year Paul* discovered via a flurry of media stories that his business group had been targeted for job cuts, alongside a number of other public-sector agencies. For him, this was the second time, after his technical management role was restructured in 2024. While that process was difficult enough, the comms this time were highlighting the integration of AI as a cost-saving tool. “They say it’s not about firing people, but hey, my whole team will go.” For Paul, the timing could not have been worse. He…

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Navigating the Complexity of Generative AI Adoption in Software Engineering

This article explores the adoption of Generative Artificial Intelligence (AI) tools within the domain of software engineering, focusing on the influencing factors at the individual, technological, and social levels. We applied a convergent mixed-methods approach to offer a comprehensive understanding of AI adoption dynamics. We initially conducted a questionnaire survey with 100 software engineers, drawing upon the Technology Acceptance Model, the Diffusion of Innovation Theory, and the Social Cognitive Theory a…

Labor

Both readings

From automation technology to generative AI: skill heterogeneity in technology’s impact on laborers

Abstract This is a study of skill heterogeneity in technology’s impact on laborers transitioning from physical automation to cognitive automation. The findings indicate that cognitive skills are a crucial determinant of the extent of technological influence. Considering both technological substitution and technological control, high-skilled and low-skilled workers experience limited technological substitution. However, high-skilled workers are not significantly affected by technological control, whereas low-skil…

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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…

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

Strategic Human Resource Management in the Digital Era: Technology, Transformation, and Sustainable Advantage

The rapid integration of emerging technologies into organizational processes has fundamentally redefined the role of strategic human resource management (SHRM). This paper explores how digital innovations—such as artificial intelligence (AI), robotic process automation (RPA), blockchain, and immersive technologies—are reshaping the workforce and transforming the way organizations attract, develop, and retain talent. In the context of the digital era, human capital is no longer a passive input but a strategic ena…

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Fairness, AI & recruitment

The ever-increasing adoption of AI technologies in the hiring landscape to enhance human resources efficiency raises questions about algorithmic decision-making's implications in employment, especially for job applicants, including those at higher risk of social discrimination. Among other concepts, such as transparency and accountability, fairness has become crucial in AI recruitment debates due to the potential reproduction of bias and discrimination that can disproportionately affect certain vulnerable groups…

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Generative-AI, the media industries, and the disappearance of human creative labour

This article addresses the transformative role of Generative-AI (Gen-AI) in the creative media and arts industries, focusing on concerns about the disappearance of human creative labour.It critically examines the discourse of the 2023 Writers' and Actors' strikes, which replicates prevailing assumptions of the superiority of human creativity over Gen-AI.This discourse emphasises a 'replacing tasks' model, anticipating a future where AI assists human creatives in a limited capacity.Against this background, the ar…

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Problematizing the role of artificial intelligence in hiring and organizational inequalities: A multidisciplinary review

What are the implications of the growing use of artificial intelligence (AI) in recruitment and hiring for organizational inequalities? While advocates suggest that AI is a groundbreaking tool that can enhance hiring precision, efficiency, diversity and fit, critics raise serious concerns around bias, fairness, and privacy. This review article critically advances this debate by drawing on diverse scholarship across computing and data sciences; human resource, management, and organization studies; social sciences…

Labor

Problematizing the role of artificial intelligence in hiring and organizational inequalities: A multidisciplinary review

Artificial intelligence in industry – ethical challenges

Abstract Artificial intelligence is revolutionising industry, significantly improving work efficiency. However, the development of AI continues to generate new ethical challenges. An international legal framework has already been developed to ensure the ethical and safe development of AI. However, it seems that new threats and ethical dilemmas continue to arise as AI develops further. This study aims to explain some of the benefits and threats of using AI in industry and to encourage reflection on the need to in…

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Garbage in, garbage out? How the monster of AI art reflects human fault, bias, and capitalism in contemporary culture

Abstract This paper examines the relationship between artificial intelligence, contemporary artistic production and content creation through an intersectional feminist framework, arguing that AI operates as a reflective system that reproduces and amplifies existing social, economic, and cultural biases. Beginning with examples of AI artistic collaborations such as 'What I Saw Before the Darkness', and 'Théâtre D'opéra Spatial' the research investigates how generative AI exposes underlying tensions surrounding cr…

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How does artificial intelligence impact employees’ engagement in lean organisations?

Driven by the digital transformation currently pursued by organisations, artificial intelligence (AI) applications have become more frequent. Nevertheless, its impact on employees’ behaviors and attitudes is still poorly known. As employees’ engagement (EE) is a key element for a successful Lean Production (LP) implementation, there is the need to understand such AI’s implications on EE in this scenario. This paper aims to investigate the impact of AI on EE in lean organisations. We performed a qualitative-empir…

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