Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption

The "Reality Gap" requires balancing three competing tensions: Implementation Feasibility (practical classroom integration), Adaptation Speed (AI evolving faster than education can respond), and Mission Alignment (ensuring AI upholds educational values like equity and privacy)—successfully adopting agentic AI means addressing all three, not just one.

Agentic AI systems pose unique risks beyond current generative AI: Unlike ChatGPT, these more autonomous systems can "plan and act towards goals," creating greater potential for both educational personalization and disruption, making proactive governance essential before widespread adoption.

Educational institutions are falling behind the pace of AI development: The paper documents how free consumer AI tools have already entered schools faster than institutions could develop policies, and agentic AI represents an accelerating version of this problem—waiting for perfect solutions risks losing the ability to shape how these tools are used.

Curriculum-linked AI agents and educator-informed design are emerging best practices: Rather than top-down implementation, the framework highlights that responsible deployment involves designing AI systems with teachers' input and connecting them directly to educational goals, not treating them as generic productivity tools.

Educational leaders must act proactively to protect core values: The framework emphasizes that decision-makers should evaluate AI initiatives specifically against equity, privacy, and pedagogical integrity—not just technical capability—to ensure technology enhances rather than undermines education's fundamental mission.