As older professionals retire, a Smartsheet survey shows AI’s value depends on humans teaching, debugging, and guiding it; without structured knowledge transfer and robust data foundations, AI risks misjudgments and missed context.
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.
AI is reshaping work, but the real risk is losing seasoned judgment as experienced professionals retire. A Smartsheet global survey shows across Gen X, Millennials, and Gen Z, many fear AI could replace them in five years, with Gen X feeling the need to rapidly acquire AI skills to stay relevant. The article argues true productivity comes from humans teaching and debugging AI—building knowledge graphs, governance, and feedback loops so AI handles routine tasks while people tackle context-rich decisions—to avoid the deployment trap where AI works poorly without human input.