Resources: Main Page | Research Methods (A) | Major Theories (B) | Issues and Contemporary Topics (C) | Professional Community (D)
Aisle C (Topics and Issues): Agility and Adaptability (CA) | Digital Technologies (CD) | Employee Well-Being (CE) | Inequality & Justice (CI) | 21st Century Leadership (CL) | Resource Management (CR) | Sustainability (CS) | Meaningful Work (CW)
Rack CD (Digital Transformation): Influence of Artificial Intelligence | Platform Capitalism | Algorithmic Management | Workers in Digital Organizations
Jump to: Importance | Background | Theories & Debates | Research Areas | TAOP Episodes | References
Why is the Influence of Artificial Intelligence (AI) at Work an Important Contemporary Topic?
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, natural language processing, and search & retrieval methods (Oxford, n.d.). AI is a subfield of computer science with significant influences from psychology and social science, and this subfield has been active since the 1950s. However, only since the early 2020s has the combination of advanced computer power and maturity of generative AI technologies allowed AI to enter the mainstream of society. Within a couple years, AI has grown from a niche field of study to full integration in the home and in the workplace with new applications coming out on a daily basis.
To say that AI is having a tremendous impact on the workplace is an understatement. The promises of AI include vast increases in productive efficiency, the automated routinization of menial tasks, the abilities to manage and analyze massive amounts of data, and support creative activities through AI-driven image, video, and music generation. Common use tools such as OpenAI’s ChatGPT have grown in number (e.g., Microsoft’s Co-Pilot, Google’s Gemini, and Anthropic’s Claude), as have specialized tools catering to specific purposes (e.g., Scite.ai for academics, DALL-E for high quality images, and Synthesia for videos). As these tools proliferate, managers have been looking to apply them in new ways. Virtually every organizational function could potentially see AI tools applied to them, which brings about concerns on the human dimension of the workplace and whether AI could eventually replace human workers.
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within organizational studies has become increasingly crucial as organizations leverage these technologies to enhance performance and adapt to changing environments. This field encompasses various dimensions, including skill integration, decision-making processes, productivity enhancements, and the reconfiguration of organizational structures.
One significant aspect of AI’s impact on organizations is the dual role of automation and augmentation in management practices. Raisch and Krakowski highlight a paradox where AI drives both the automation of tasks and the augmentation of managerial capabilities, resulting in complex implications for institutional action and change (Raisch & Krakowski, 2021). Such complexities suggest that AI’s integration within organizations requires a comprehensive understanding of how AI technologies intersect with existing systems and practices, thereby blurring traditional organizational boundaries (Raisch & Krakowski, 2021). Moreover, the impact of AI extends beyond internal operations, influencing broader socio-economic dynamics and necessitating adaptive strategies from organizational leaders.
In human resource management (HRM), the systematic implementation of AI capabilities, as articulated in the AI Capability Framework, plays a crucial role in measuring an organization’s readiness to adopt AI technologies. This framework emphasizes the need for alignment in policies, strategies, and cultural readiness within the HR landscape (Agustono et al., 2023). AI technologies can significantly augment HR practices by enhancing efficiency and productivity through data-driven insights, thereby transforming traditional HR functions (Rooshma et al., 2024). Notably, effective integration of AI in HR can optimize talent management and engagement strategies, which are increasingly vital in today’s competitive environments (Alsheibani et al., 2020).
Decision-making processes within organizations also face transformation due to AI’s influence. Dietzmann and Duan point out that the proliferation of data and information overload can adversely affect managerial decision-making quality (Dietzmann & Duan, 2022). This challenge necessitates that organizations develop capabilities to synthesize and make sense of vast amounts of information, highlighting the critical interaction between AI and managerial competencies in achieving high-performance levels. The ability to navigate and leverage AI effectively in decision-making contexts is essential for sustaining long-term organizational benefits (Dietzmann & Duan, 2022).
Furthermore, the ongoing evolution of AI technologies brings about a need for organizations to foster an agile culture that can adapt to rapid changes. Research indicates that AI’s integration can enhance organizational agility, enabling firms to respond more effectively to market dynamics and operational challenges (Alshamsi et al., 2024). This flexibility and responsiveness are pivotal in maintaining competitiveness in an increasingly digital economy.
In addition, accepting and integrating AI technologies within the workforce presents challenges. Employee perceptions and experiences with AI in the workspace play a crucial role in determining the success of AI implementation (Mirbabaie et al., 2021). As companies introduce AI into their operations, understanding the subjective experiences of employees—such as perceived usefulness and ease of use—becomes critical (Kelm & Johann, 2024). These insights suggest that managing the human aspects of AI integration is as important as the technical implementation itself.
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History of AI and the Study of AI at Work
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Relevant Theories and Ongoing Debates
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Some Contemporary Areas of Research
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Related TAOP Episodes, Events, and Notes
125: Institution and Action — Steven Barley
118: Organizational Structures & Digital Technologies – AoM 2024 Symposium
96: Informating at Work – Shoshana Zuboff
51: The Tyranny of Light — Hari Tsoukas
40: Symposium on the Gig Economy LIVE
22: Human-Machine Reconfigurations – Lucy Suchman
18: Gig Economy, Labor Relations and Algorithmic Management
Related Resource Pages
Rack CA – Organizational Agility & Adaptability
Rack CD – Digital Transformation and Future of Work
Rack CE – Employee Well-Being & Mental Health
Rack CI – Inequality and Justice
Rack CL – Leadership in the 21st Century
Rack CR — Resource Management
Rack CS – Sustainability and Corporate Social Responsibility (CSR)
Rack CW – Meaningful Work
References
Anthropic. (2025). What is the study of the impacts of artificial intelligence about in organization studies; Please explain in more detail the origins of study of the impacts of artificial intelligence in the workplace; Please explain the theoretical debates and critiques in more detail, and which contemporary scholars are making significant contributions to each debate; What are contemporary areas of research into the influence of artificial intelligence at work and efforts to enhance its benefits and mitigate its risks. Claude.ai 4.0 Sonnet (June 2025 version) [Large Language Model].
Google (2025). What is the history of artificial intelligence; What is the study of the impacts of artificial intelligence about in organization studies; Please explain in more detail the origins of study of the impacts of artificial intelligence in the workplace; Please explain the theoretical debates and critiques in more detail, and which contemporary scholars are making significant contributions to each debate; What are contemporary areas of research into the influence of artificial intelligence at work and efforts to enhance its benefits and mitigate its risks. Gemini 2.5 Flash (June 2025 version) [Large Language Model].
Scite. (2025). What is the study of the impacts of artificial intelligence about in organization studies; Please explain in more detail the origins of study of the impacts of artificial intelligence in the workplace; Please explain the theoretical debates and critiques in more detail, and which contemporary scholars are making significant contributions to each debate; What are contemporary areas of research into the influence of artificial intelligence at work and efforts to enhance its benefits and mitigate its risks. Scite (June 2025 version) [Large Language Model].
The inclusion of external links is for informational purposes only and does not necessarily constitute endorsement by TAOP or any of its members.
Jump to: Importance | Background | Theories & Debates | Research Areas | TAOP Episodes | References
Rack CD (Digital Transformation): Influence of Artificial Intelligence | Platform Capitalism | Algorithmic Management | Workers in Digital Organizations
Aisle C (Topics and Issues): Agility and Adaptability (CA) | Digital Technologies (CD) | Employee Well-Being (CE) | Inequality & Justice (CI) | 21st Century Leadership (CL) | Resource Management (CR) | Sustainability (CS) | Meaningful Work (CW)
Resources: Main Page | Research Methods (A) | Major Theories (B) | Issues and Contemporary Topics (C) | Professional Community (D)