The AI Employee Era Demands Management Before Adoption

According to AI TIMES, as the pace of enterprise AI agent adoption outstrips management systems, 79% of companies are operating AI agents in real work, but only 2% are using dedicated identity security tools for them. Surveys released on the 6th and 7th last month pointed out that the bigger problem is not how much AI companies have introduced, but that they do not properly know what AI is operating inside the organization and with what permissions. The article's focus is on the idea that so-called AI employees should be seen as new work entities that require roles, permissions, and responsibilities to be designed separately, rather than as software that simply behaves like humans. It said that, in particular, if unauthorized or even unrecognized shadow AI agents increase, productivity tools could turn into blind spots for security and operations. Accordingly, it argued that companies need operational procedures such as taking inventory of the current state, granting least privilege, reviewing performance and behavior at the same time, and managing the lifecycle from creation to retirement. In the end, it raises the question of how competitiveness will be determined not by bringing in more AI, but by the ability to design and control a structure in which people and AI work together.