Does AI Automation Threaten the Balance Between Operational Efficiency And Worker Well-being in the Era of Digitalization?

  • 20/08/2024
  • Category: Commentaries
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Author: Hilman Nurjaman
Editor: M Perdana Karim

Recently, the landscape of work has been undergoing a transformation driven by globalization and the advancement of digital technology in the international market.1 The main currents of economic and technological activities now underpin capital, labor, and knowledge, shaping new work models that meet job demands through automation. These changes in work systems have contributed to the social relations of workers, work processes, and the nature of work itself. Moreover, the presence of AI technology has been integrated into many aspects of life, from virtual assistants and administration to content creation, which can now be automated in a short time.2 AI in the labor market reshapes industrial systems and the nature of jobs, creating a layered impact of benefits and potential risks. As society becomes increasingly dependent on AI technology, there are growing concerns about its negative consequences on workers’ mental health and well-being. Mental health and well-being have become important topics in recent times. Workers have more responsibility than ever to ensure their health and safety. Thus, what are the future challenges of work, and how do they relate to the fulfilment of economic processes, the realities of work, and worker well-being, with the latest interventions from AI technology?

Psycho-Social Challenges

The landscape of work faces the challenge of integrating rapidly advancing technology, which in practice causes shifts in work patterns and the skill requirements needed. Technological advancements are reshaping work processes and the nature of work, creating new jobs such as gig work and crowd work, and driving the need for workers to acquire new skills.3 Automation and digitalization present both a challenge and a threat by replacing low-skilled jobs, especially those involving routine manual labor, while simultaneously increasing the demand for high-skilled jobs in technology-related fields.4 This job polarization can lead to unequal outcomes and instability in well-being if not managed contextually.

Based on data from the German Socio-Economic Panel (SOEP), comparing workers exposed to AI technology with those in jobs less affected by AI adoption in 2015, there is an indication of a relative decline in well-being and mental health, along with job satisfaction dynamics, among workers exposed to AI in the workplace.5 The impact on job satisfaction is more pronounced among workers with mid-level skills, consistent with recent studies showing that jobs requiring mid-level skills may be more susceptible to AI displacement effects.6 There is also an increase in workers’ concerns about job security and their future economic situations as a consequence of higher AI exposure in the workplace.

There is no doubt that AI can streamline processes and increase work efficiency, but it can also create job insecurity. The automation offered by AI technology raises concerns about job displacement, which can heighten anxiety among team members. Additionally, the efficiency gains mediated by AI can lead to increased expectations for productivity, potentially increasing stress related to work targets and further diminishing work-life balance. While AI can enhance productivity in achieving work goals within a specific timeframe.7 It also highlights the human workforce’s inability to keep pace with AI output. Many of these concerns directly or indirectly impact the HR sector, demanding stronger protective measures to ensure and prioritize AI development in a productive and inclusive manner without replacing human interaction and support.

The benefits and challenges presented by AI will continue to affect workers’ work dynamics, except when employers understand the relationship between well-being and work productivity, creating a work environment that actively complements AI technology with worker health. Effective collaboration between humans and AI helps define clear roles and responsibilities for both workers and AI.8 They must achieve a balance between implementing AI-driven solutions while maintaining a supportive, human-centered work environment. Just as AI models require periodic updates and constant adaptation, employers must manage a learning culture where workers, as human resources, adopt AI technology for empowerment rather than replacement. When employers prioritize employee engagement and continuous training, the positive benefits of AI technology will outweigh the negative risks, leading to a thriving and empowered workforce.

Adaptation and Support Strategies

Implementing clear regulations to protect workers’ rights is crucial in ensuring fairness and socio-emotional well-being. Regulations should cover important aspects such as fair outcomes, job security, quality and benefits of employment, forms of collectivity, identity development, and management control.9 Gig workers, in particular, often face income uncertainty due to the precarious nature of their work. While gig work offers flexibility, it often comes at the cost of job security. Regulations must ensure that workers have access to benefits such as social security, health insurance, and sick leave. Furthermore, mechanisms should be in place to protect workers from unfair contract termination and provide legal protection in case of labor disputes. Other regulations should include ensuring that jobs offered are economically viable and not exploitative by setting standards that ensure a safe and healthy work environment and promote a balance between work and personal life. Additionally, policymakers need to consider ethical guidelines and frameworks governing the use of AI in workplace well-being to protect individual rights and well-being.

Conclusion

Despite the substantial diffusion of AI in recent years, the adoption of AI in work practices is still in its early stages, making it perhaps too soon to draw definitive conclusions about AI’s impact on workers. However, current field data provides initial projections regarding the short-term consequences of the AI revolution on worker perceptions during this transitional phase. It is hoped that future studies will further clarify these issues contextually with more extensive and valid data elaboration. Framing the relationship between AI and workers’ socio-emotional well-being is essential in formulating labor market rules and policies, promoting innovation, and addressing the challenges that may arise.

  1. Watson, T. (2017). ‘Sociology, Work and Organisation.’ Routledge: London, New York. ↩︎
  2. Pereira, M. (2024). ‘Navigating AI’s impact on employee wellbeing.’ People Management. https://www.peoplemanagement.co.uk/article/1882806/navigating-ais-impact-employee-wellbeing ↩︎
  3. Santana, M., & Cobo, M. J. (2020). ‘What is the future of work? A science mapping analysis.’ European Management Journal. https://doi.org/10.1016/j.emj.2020.04.010 ↩︎
  4. Ibid. ↩︎
  5. Guintella, O., Konig, J., and Stella, L. (2023). ‘Artificial Intelligence and Workers’ Well-being.’ SOEP papers on Multidisciplinary Panel Data Research: DIW Berlin. ↩︎
  6. Brekelmans, S. and Petropoulos, G. (2020). ‘Occupational change, artificial intelligence
    and the geography of the EU labour market.’ Bruegel Working Paper. ↩︎
  7. Gamble, G. (2024). ‘AI’s Role in Enhancing Wellbeing In the Workplace and Beyond.’ Global Wellness Institute. https://globalwellnessinstitute.org/global-wellness-institute-blog/2024/05/07/ais-role-in-enhancing-wellbeing-in-the-workplace-and-beyond/ ↩︎
  8. Pereira, M. (2024). ‘Navigating AI’s impact on employee wellbeing.’ People Management. https://www.peoplemanagement.co.uk/article/1882806/navigating-ais-impact-employee-wellbeing ↩︎
  9. Kaine, S., & Josserand, E. (2019). ‘The organisation and experience of work in the gig economy.’ Journal of Industrial Relations, 61(4), pp. 479-501. https://doi.org/10.1177/0022185619865480 ↩︎