The real AI risk: losing human judgment as experts retire
A Smartsheet survey shows workers across Gen X, Millennials, and Gen Z fear AI's impact, but the greater danger is losing institutional knowledge as seasoned professionals retire without structured knowledge transfer. AI is most effective when humans teach, debug, and tailor it to context, creating a reliable “human in the loop” that can discern patterns and guard against flawed outputs. Organizations risk a deployment trap if they remove humans from the loop; success hinges on investing in people, unified data foundations, and knowledge graphs so AI can support high‑value decisions rather than just generate plausible results.
