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<p>Academic health institutions face a new constraint: cognitive labor. Many adopt AI through additive initiatives that risk becoming “innovation theater”—visible activity without structural change. We argue this reflects a mismatch between rapid AI advances and slower institutional evolution. AI-native institutions treat AI as infrastructure, requiring governance, shared platforms, and workforce readiness. The challenge is not adoption but redesign; those that fail risk widening gaps and accelerating irrelevance.</p>

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The AI-native health science institution innovation theater vs. structural redesign

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月8日

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  • Jiajie Zhang,
  • Martin J. Citardi,
  • Xiaoqian Jiang,
  • Sean Savitz

摘要

Academic health institutions face a new constraint: cognitive labor. Many adopt AI through additive initiatives that risk becoming “innovation theater”—visible activity without structural change. We argue this reflects a mismatch between rapid AI advances and slower institutional evolution. AI-native institutions treat AI as infrastructure, requiring governance, shared platforms, and workforce readiness. The challenge is not adoption but redesign; those that fail risk widening gaps and accelerating irrelevance.