AI automation risks workforce knowledge loss and rising costs

Consultancy firms are highlighting the economic and operational risks associated with manual tasks and rapid AI-driven workforce reductions. Research from McKinsey indicates that knowledge workers spend approximately 20% of their time searching for internal information, while administrative tasks can consume up to 40% of the time of qualified professionals. These repetitive activities, such as filling spreadsheets and reconciling data, represent a significant loss of productivity.

Gartner predicts that by 2029, 30% of employees laid off due to AI replacement will need to be rehired. These “boomerang employees” represent a loss of accumulated institutional knowledge. Gartner analyst Tori Paulman warns that executives using AI solely as a cost-cutting tool risk making cuts that are too deep or too early, which could hinder innovation and increase future recruitment and training costs. The consultancy recommends a “talent mix” strategy, using AI to redesign roles and transition staff from low-productivity tasks to more strategic activities.