The Middle Ground in AI Adoption: Why "More Is Not Always Better" The latest research from ActivTrak's Productivity Lab challenges a widely held assumption about maximizing productivity and efficiency through artificial intelligence (AI) adoption.
According to the study, which tracked 120,620 employees across three quarters, the key to optimal utilization lies not in full automation but rather in finding a balance between shallow usage and AI driven processes.
The data reveals that organizations often focus on measuring consumption rather than maturity when implementing AI. Traditional metrics like licenses or login counts provide limited insight into how AI impacts work.