In 2026, the rapid development of artificial intelligence is driving profound changes in the labor market. AI systems are increasingly capable of performing many tasks once considered dependent on humans, from data processing, customer service, and basic accounting to business analysis.
In response to this trend, regulators have begun developing new policy frameworks to govern AI’s impact on employment. The goal is not to hinder technological progress, but to ensure that the transition takes place in a stable manner and minimizes sudden unemployment caused by automation.
Under the new policy, companies deploying AI to replace human labor on a large scale will be required to prepare clear workforce transition plans. This includes reskilling, upskilling, and career transition support for affected workers.
One important provision is the requirement for greater transparency regarding the level of automation within enterprises. Companies must disclose the share of work performed by AI compared with humans, especially in high-impact sectors such as finance, services, logistics, and manufacturing.
In addition, the policy encourages the development of “AI assisting humans” models rather than “AI completely replacing humans.” The aim is to create hybrid workplaces in which AI handles repetitive tasks while humans focus on creative work, oversight, and strategic decision-making.
From an economic perspective, this shift is seen as a phase of global workforce restructuring. Some occupations may shrink, but many new roles are also emerging in AI system operation, supervision, and development.
Experts believe that the greatest challenge lies not in the technology itself, but in the workforce’s ability to adapt. Without appropriate training and transition policies, the skills gap may widen, leading to long-term social inequality.