Humans in the Loop Are the Secret to Making AI Work
As experienced professionals retire, organizations risk losing tacit know-how and judgment. The piece argues AI’s value depends on humans teaching, debugging, and guiding it—through knowledge graphs, governance, and structured knowledge transfer—else they’ll fall into a “deployment trap” where automation fails without human oversight. The message: invest in people and infrastructure to train AI, not replace them.
