aceThe AI Adaptation Paradox: Navigating Professional Relevance and Sustainable Integration in Nursing
Artificial intelligence is increasingly integrated across nursing education, practice, research, and healthcare systems, yet its long-term sustainability, economic viability, and organizational implications remain uncertain. This raises the question of how the profession should adapt when both rapid integration and cautious delay carry risk. In this discussion paper, I introduce two concepts to examine that question. The AI adaptation paradox describes the simultaneous pressure on nursing to accelerate AI integr…
Pressure to accelerate AI adoption to stay professionally relevant may lead nursing to build AI into competencies, workflows, and education before long-term value and sustainability are known.
The source states that AI's long-term sustainability, economic viability, and organizational implications in nursing remain uncertain, and the paper is a discussion piece without empirical outcome data.
Evidence
- Peer-reviewedNursing Inquiry2026-10-01
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Truvace Impact Record TRV-2026-1578, v1: “The AI Adaptation Paradox: Navigating Professional Relevance and Sustainable Integration in Nursing.” Truvace, 2026-10-16. /record/TRV-2026-1578 (accessed at citation time). sha256 86f9301d3682feec…
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