AI Needs a Human in the Loop to Preserve Workplace Expertise

The piece argues that AI's biggest risk isn't replacement but the erosion of institutional know-how as experienced professionals retire; a Smartsheet survey shows workers fear AI could lead to poor decisions rather than being replaced, underscoring the need for humans to train, supervise, and refine AI—building knowledge graphs and infrastructure that couple people with data to enable Intelligent Work Management and avoid the deployment trap.