Facing the Paradox of Digital Transformation: Between Technological Efficiency and Human Employment Challenges

  • 06/12/2024
  • Category: Commentaries
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Author: Falah Muhammad
Editor: Arifatus Sholekhah

Introduction

The development of digital technology in this era has significantly altered human life patterns in ways previously unimaginable. Small devices that once seemed imaginary now dominate nearly all forms of social interaction in people’s daily activities. People living during the Industrial Revolution 1.0 would likely never have envisioned they could bring food, summon a vehicle, pay off debts, or even mobilize masses for demonstrations against oppressive systems by using a small device only. That all could be done without leaving their cozy sofa at home.

This rapid technological advancement has been driven by a concept widely recognized in today’s digital era: the Internet of Things (IoT). This concept plays a critical role in the era of Industrial Revolution 4.0, particularly in the shift from traditional factories to smart factories.1 Meaning, the production processes that once involved manual labor that prone to human error are now will be replaced by precision automation machines integrated to compensate for human shortcoming.2 The successful transition from human-driven to machine-driven production processes has injected new energy into technology’s penetration of economic activities. This shift is often referred to as digital transformation.

Digital Transformation is the process of integrating various digital technologies into a single business ecosystem, fundamentally changing how organizations operate within companies.3 We can observe the example of digital transformation in the shifting of the transportation booking methods–from requiring physical interaction with a driver to simply booking on a smartphone. However, digital transformation presents a paradox that is often perceived as a way to ease human labor. On the other hand, technology helps humans achieve efficiency and innovation, but on the other hand, it dehumanizes workers in the professional sphere. This raises profound ethical questions: does technology enhance human welfare or does it make human life more vulnerable?

The Emergence of New Job Types

Before the advent of the digital transformation era, many jobs heavily relied on human labor, such as store cashiers, toll booth attendants, data entry clerks, airline ticket sellers, and manual machine operators. However, these roles are now increasingly replaced by Artificial Intelligence (AI).4 For instance, toll booth attendants are now automated using machines.5 This shift demonstrates how technology can take over roles that previously depended on human labor, leading to adverse effects on such jobs.

Jobs can be classified based on their routine nature and cognitive demands.6 This classification yields four categories: cognitive routine, manual routine, cognitive non-routine, and manual non-routine jobs. Cognitive routine jobs involve processes based on logical rules, such as bookkeeping and data entry. Manual routine jobs include physical tasks like store clerks and toll booth attendants. Furthermore, cognitive non-routine jobs require creativity and innovation to solve complex problems, such as managerial roles. Manual non-routine jobs, on the other hand, involve human interaction, such as those performed by lawyers and social workers, making them harder to replace with technology.

Based on job classifications, routine jobs—both cognitive and manual—are most vulnerable to being replaced by automation. From business perspective, a key consideration in optimizing operations is cost efficiency, making automation an attractive choice.7 Robots can work faster, at lower cost, and reduce human error in routine tasks. Under these conditions, routine operational roles are bound to be replaced by technology sooner or later, potentially creating challenges for human labor.

The shift from human labor to automated robots is one of the significant issues stemming from digital transformation. During 2023-2024, there were several large-scale layoffs in major tech companies such as Microsoft, Google, Meta, and Amazon. A contributing factor was the implementation of AI in company operations.8 For instance, in January 2023, Microsoft laid off 10.000 employees while simultaneously announcing a $10 billion investment in OpenAI. Additionally, IBM predicted that AI would replace 30% of its back-office workforce within the next five years. This phenomenon may create an echo chamber, prompting other companies to adopt similar measures to achieve budget efficiency.

Amid the threat of technology replacing human roles in the workforce, a new narrative emerges: digital transformation also creates new job opportunities. These new roles are non-routine jobs that require cognitive skills such as analysis, management, critical thinking, and the use of new technologies in the workplace.9 For example, jobs in AI developer, data analysis, and management are among the new opportunities created by digital transformation.

What Can We Do?

The rapid and massive change in digital technology presents a significant challenge for humanity, particularly in the context of employment. Automation is increasingly replacing human labor in technical and repetitive operational tasks. Therefore, instead of resisting technological advancements, adopting and adapting to these changes will enable humans to survive in this era. Drawing on the concept of “liquid modernity” by Polish sociologist Zygmunt Bauman, modern society can be seen as “liquid”, characterized by rapid and continuous changes.10 In such a “liquid” world, individuals and communities often face uncertainty as stable norms become fragmented, and relevant skills quickly become obsolete if not regularly updates.11 In this context, agility and a willingness to continuously learn new technologies are crucial for survival and growth in the digital world.

In this digital era, adapting to technological advancements is essential for survival. To determine how best to adapt to technology, we can refer to the classification of job types previously discussed. Non-routine jobs can serve as a guide for enhancing work skills amidst rapid technological progress. Roles that involve problem-solving, creativity, and complex communication are unlikely to be replaced by automation in the near future.12 Thus, it is essential to remain open to and learn new technologies to stay technically adept.13

The demand for workers capable of utilizing new technologies will grow alongside the transition of companies toward automation and digitalization. By honing cognitive skills and remaining receptive to technological advancements, individuals can maintain their relevance and value in the labor market of the digital era.

Moreover, the roles of companies and government are critical in addressing the challenges of digital transformation, particularly for the workforce. Companies can contribute by creating new technology-based job positions with reasonable qualifications. Additionally, they can provide training programs for reskilling and upskilling their employees, ensuring their skills remain relevant. Meanwhile, governments can offer free and inclusive digital skills training programs for the public. Furthermore, collaboration between companies and governments can facilitate digital training programs and help integrate both novice and expert digital workers into the workforce.

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  2. Fanoro, M. (2021) ‘Smart manufacturing, an advanced form of traditional manufacturing’. Encyclopedia, https://encyclopedia.pub/entry/16454 ↩︎
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  8. Marr, B. (2023, January 20). The Real Reasons For Big Tech Layoffs At Google, Microsoft, Meta, And Amazon. Retrieved from https://www.forbes.com/sites/bernardmarr/2023/01/30/the-real-reasons-for-big-tech-layoffs-at-google-microsoft-meta-and-amazon/. ↩︎
  9. Ozgul, P., Fregin, M., Stops, M., Janssen, S., & Levels, M. (2024). High-skilled Human Workers in Non-Routine Jobs are Susceptible to AI Automation but Wage Benefits Differ between Occupations. ↩︎
  10. Bauman, Zygmunt. Liquid modernity. John Wiley & Sons, 2013. ↩︎
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  12. Larsson, Anthony. “The digital transformation of labor–where do we go from here?.” The Digital Transformation of Labor (2019): 319. ↩︎
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