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Building AI Organizational Readiness for Digital Transformation

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2026-04-28

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Clark, Ruiz. 2026. Building AI Organizational Readiness for Digital Transformation. Doctoral Dissertation, Harvard University Graduate School of Education.

Abstract

Amid tremendous political, economic, social, and technological headwinds, system-level leaders in K-12 public education face significant pressure to integrate emerging technologies into existing systems while balancing ethical and responsible use. AI integration alone is insufficient; rather, a digital transformation is required, predicated on AI organizational readiness (i.e., the collective aptitude of the system to effectively integrate intelligent technologies across workstreams). This paper leverages a case study from a large school district in California, through which Digital Promise supported an executive cabinet to develop a district-wide vision for AI literacy. While the project was successful, achieving 100% executive satisfaction and 80% internal staff approval, the implementation process revealed lessons around the importance of system coherence and organizational ambidexterity. Ultimately, this capstone introduces the Digital Leadership Convergence Model, which hypothesizes that adaptive leaders effectively catalyze digital transformation by balancing human-centered change management with the technical aspects of technological integration.

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Adaptive Leadership, AI Literacy, AI Organizational Readiness, Artificial Intelligence, Digital Transformation, Organizational Ambidexterity, Educational leadership, Artificial intelligence, Educational technology

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