As artificial intelligence becomes embedded in everyday work, it is quietly reshaping not only productivity but also power within the workplace. AI is often described as a neutral tool that simply makes jobs faster and more efficient. In reality, it is creating a new divide among workers, separating those who use AI as a tool from those who are increasingly managed, evaluated, and monitored by it.

For professionals in white-collar and technical roles, AI often functions as an assistant. Analysts use AI to process data, programmers rely on it to write and debug code, and managers turn to AI tools for forecasting and decision support. In these roles, AI enhances autonomy and productivity, allowing workers to focus on higher-level tasks while gaining leverage in the labor market.

For many service and frontline workers, however, AI plays a very different role. Instead of assisting them, it observes them. Algorithms track performance metrics, schedule shifts, evaluate productivity, and in some cases even influence hiring and firing decisions. Warehouse workers are monitored for speed and accuracy, delivery drivers are scored by automated systems, and call center employees are evaluated by AI-driven performance analytics. In these environments, AI is not a tool but a supervisor.

This divide reinforces existing inequalities between occupational groups. Office workers and professionals tend to gain more control over their work as AI expands their capabilities. Service and manual workers often experience the opposite, with less discretion and greater surveillance. The technology that promises efficiency ultimately deepens hierarchies that already exist in the labor market.

Economists view this shift as part of a broader transformation in the nature of work. AI does not affect all workers equally because it is deployed within existing power structures. Those with higher skills and bargaining power are more likely to use AI to their advantage. Those with less leverage are more likely to be managed by it. As a result, technological progress reinforces class divisions rather than dissolving them.

The consequences extend beyond individual workplaces. When AI concentrates decision-making authority among a small group of professionals and managers, it reshapes income distribution and job quality across the economy. Workers who are monitored by algorithms often face greater stress, less job security, and fewer opportunities for advancement. Meanwhile, those who control or design AI systems see their roles become more valuable.

This emerging divide raises important questions about the future of work. If AI continues to expand as a management tool rather than a shared productivity resource, inequality may deepen even in growing industries. The issue is not whether AI will be used, but how it will be used and for whom.

Addressing this imbalance requires more than technical innovation. Policymakers and companies must consider how AI is deployed inside organizations. Transparency, worker protections, and limits on algorithmic surveillance will matter as much as efficiency gains. Without such measures, AI risks becoming a technology that amplifies control rather than opportunity.

AI has the potential to empower workers, but only if its benefits are broadly shared. Otherwise, the workplace of the future may be defined not by intelligence or innovation, but by a new class divide between those who command the technology and those who are commanded by it.

박준하 강남포스트 학생기자  webmaster@ignnews.kr

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