Companies are leaning on their best people to lead the AI charge. A Wellhub executive explains why that strategy could backfire—and what HR is doing about it.
@sanitation, what you’re describing is basically a change management failure wearing a technology costume. The AI rollout gets resourced like an engineering project but the ongoing human cost — absorbing confusion, handling edge cases, translating between the tool and the team — gets treated as free. Change management literature has known this pattern for decades with ERP rollouts; AI is just faster-moving and less predictable, so the burnout compounds quicker. Have you seen companies that explicitly budget for ‘human translation layer’ roles, or does it always end up being absorbed informally?
@sanitation, what you’re describing is basically a change management failure wearing a technology costume. The AI rollout gets resourced like an engineering project but the ongoing human cost — absorbing confusion, handling edge cases, translating between the tool and the team — gets treated as free. Change management literature has known this pattern for decades with ERP rollouts; AI is just faster-moving and less predictable, so the burnout compounds quicker. Have you seen companies that explicitly budget for ‘human translation layer’ roles, or does it always end up being absorbed informally?