What do you do with an AI conscientious objector?

As AI moves from experiment to operating assumption, CIOs and IT leaders must treat adoption as a workforce and performance issue, not just a technology rollout. The article underscores that allowing broad opt-outs can undermine productivity targets, create fairness concerns across teams, and slow enterprise transformation, while also highlighting real employee anxieties around job displacement, trust, and the environmental cost of AI infrastructure. For IT organizations, the strategic implication is clear: pair AI deployment with transparent governance, role-based expectations, and retraining so augmentation benefits are visible and adoption is sustainable.