As AI becomes widespread in the workplace, the structure of managers' workloads is changing, with more errors in AI-generated work by subordinates and a growing lack of understanding of its content becoming apparent. At the same time, reports point to longer materials produced by subordinates and fewer opportunities for consultation, highlighting a shift in management's focus toward explanation and designing points of contact.
The spread of generative AI is increasing the burden on managers associated with subordinates' use of AI, with more cases in which AI-generated work contains errors or subordinates do not fully understand its content. Subordinates' work may appear to be completed quickly and neatly, but from a manager's perspective, it often raises concerns. This has emerged as a major workplace challenge.
While the time required to review and correct AI-generated work by subordinates is increasing, there are also cases in which materials produced by subordinates become longer, making managers' review work excessive. Some see this as a shift of the burden to managers as subordinates take on more work. This is creating a need to redesign relationships between managers and subordinates, as well as work processes.
In workplaces with high levels of AI use, the burden of conducting evaluations and managing confidential information tends to increase, while the burden of handling subordinates' private consultations and promoting communication within the organization tends to decline. There have also been indications that the relationship between AI use and management effectiveness is weak across job categories.