Navigating AI's Contradictions: Why Nursing Can't Wait for Certainty to Lead Transformation
- Presenter(s): Anne Herleth
- Session Length: 50 minutes
- Date: Mar 31, 2026
The AI landscape defies coherent categorization. Promises of transformation. Contradictory evidence. Language that shifts faster than you can learn it. Technology that evolves before pilots conclude. Every health system solving different problems with different approaches. If there's any unifying way to describe what nursing leaders are experiencing, it's these two truths: AI feels wildly experimental: clinical risk, workflow disruption, ethical questions, vendor noise, staff skepticism And AI is not an if, it's a when: technology is accelerating, industries are moving forward, health systems are investing Both statements are true. Both create leadership urgency. And both leave many leaders experiencing AI fear, often disguised as AI fatigue. This discussion navigates the tension of these two truths. We'll name the five strategic risks—"I should already know this," workforce replacement, clinical judgment erosion, governance exclusion, and implementation failure—then show how to move from "should we" discussions to leading AI in nursing and the broader health system by: Leveraging AI as your retention strategy, not only an efficiency driver Getting to governance tables first, before decisions are made Building clinical judgment infrastructure alongside AI to prevent passive use Turning resistance into co-design through nurse ownership The CNEs who thrive won't know the most today. They'll have moved fastest and didn't wait for certainty
