AI is transforming healthcare, but are we overlooking one of its most important costs? We measure ROI, implementation costs, and adoption risk, yet almost no AI business case considers environmental impact. Here's why that needs to change and how healthcare leaders can make better AI decisions before regulations catch up.

35% of new websites are AI-generated. 37% of customers walk away the moment they realize they're talking to AI instead of a human. The noise is real, and most of what's being published in 2026 is workslop. So how do healthcare, SaaS, and Customer Success leaders cut through it? Four data-driven principles (and three operating moves) for being heard without becoming part of the slop.

Healthcare doesn't have a revenue problem. It has a Revenue Operations identity crisis. Two completely different systems run in parallel — SaaS RevOps on one side, hospital Revenue Cycle on the other. Both call themselves "revenue." Neither is complete. And AI is accelerating the collision. Inside: where the $48B blind spot lives, why payers are pulling ahead, and what healthcare leaders need to do before the gap widens further.