At Catalyst25, we set out to do more than talk about artificial intelligence. We wanted to listen. We wanted to create space for students, teachers, coaches, and school leaders to wrestle honestly with what AI is already doing in schools, and what it could make possible next.
Through hundreds of conversations, reflections, and interactions with the Catalyst25 Compass AI bot used by Catalyst2525 attendees, a clear picture began to emerge. Not a picture of hype or fear, but one of curiosity, caution, and genuine possibility. What we learned at Catalyst25 is that schools are not asking whether AI belongs in education anymore. They are asking how to engage with it responsibly, creatively, and in ways that strengthen, not replace, human learning.
AI as a Values Conversation First
One of the most striking insights from Catalyst25 was how quickly conversations about AI moved beyond tools and into values. Across roles, participants returned again and again to questions of fairness, bias, equity, transparency, and ethics. Students asked whether AI systems were fair. Teachers wondered how bias might show up in content or assessment. Coaches raised concerns about how data is used and who benefits. Administrators thought about guardrails and public trust.
This matters. It tells us that AI literacy in schools is not primarily a technical challenge. It is a moral and educational one. People are not asking to be taught how AI works in isolation; they are asking how to decide when and why it should be used, and how to ensure it aligns with the values schools claim to hold.
That shared ethical lens is a strength. It gives schools a powerful entry point for AI literacy, one grounded in judgment, responsibility, and civic awareness rather than novelty or speed.
Students: Curious, Cautious, and Ready
Perhaps the most encouraging learning from Catalyst25 came from students themselves. Far from being reckless or dismissive, students demonstrated a thoughtful awareness of AI’s power and risks. Many talked openly about concerns around cheating and misuse, but just as many described AI as a way to brainstorm ideas, explore multiple perspectives, or better understand complex concepts.
Students are already using AI, but what they want most is guidance. Clear expectations. Shared norms. Permission to explore creatively while still owning their learning. They are not asking adults to block AI; they are asking adults to help them learn how to use it well.
Importantly, students framed AI literacy as a form of agency. Being “AI-ready,” in their words, meant knowing when to trust AI, when to question it, and when to walk away from it entirely. That is not a technical skill. That is critical thinking, media literacy, and ethical reasoning coming together in real time.
Teachers: Protective of Learning, Hungry for Clarity
Teachers approached AI with a different posture, one shaped by responsibility. Many expressed concern about academic integrity, loss of deep thinking, and the pace at which expectations seem to be shifting. Their caution was not resistance; it was care. Teachers want to protect meaningful learning.
What teachers asked for repeatedly were concrete examples and clear boundaries. What does responsible AI use look like in English, math, science, or social studies? What is acceptable support versus inappropriate substitution? How do we assess learning when AI is part of the process?
These are not questions that can be answered with a single policy or tool. They require shared language, instructional models, and time to experiment. Catalyst25 surfaced a strong desire among teachers for professional learning that treats AI literacy not as an add-on, but as something woven into existing curriculum, pedagogy, and assessment.
Administrators and Coaches: Seeking Coherence and Equity
School and district leaders tended to look at AI through a systems lens. Administrators were often optimistic about AI’s potential to improve workflows, communication, and decision-making, but they were equally aware of the risks of inconsistency and confusion. Many spoke about the need for clear, values-aligned guidance that could build trust with staff, students, and families.
Coaches, meanwhile, consistently raised equity-focused questions. How do we ensure AI does not reinforce existing gaps? How do we help teachers and students surface bias when it appears? How do we design learning experiences that invite critique rather than passive acceptance?
Together, these perspectives point to an important insight: AI literacy cannot live in silos. It requires coherence across classrooms, schools, and systems, and it benefits enormously from roles that help translate values into practice.
What Possibilities Are Emerging
While Catalyst25 surfaced real concerns, it also revealed deep excitement about what might be possible.
Participants imagined classrooms where students use AI as a thought partner to generate ideas, then apply human judgment to refine and improve them. They envisioned learning experiences where evaluating AI output becomes a way to teach critical thinking and media literacy. Leaders talked about using AI to free up time for relational work, creativity, and instructional leadership. Coaches saw opportunities for richer feedback, reflection, and collaborative planning.
Across these ideas, a common theme emerged: AI is most powerful when it augments human capacity rather than replacing it. The excitement at Catalyst25 was not about automation for its own sake. It was about amplification of creativity, curiosity, efficiency, and insight.
A Shared Moment, A Shared Responsibility
Catalyst25 made one thing clear: we are at a shared moment. Students, educators, and leaders are all navigating this transition together. No one group has all the answers, and no one should be left to figure it out alone.
The conversations at Catalyst25 suggest that the next phase of AI in education will not be defined by tools, but by choices. Choices about values. Choices about learning. Choices about how we prepare young people not just to use AI, but to question it, shape it, and lead alongside it.
If Catalyst25 showed us anything, it is that schools are ready for that work. Not because it is easy, but because it is necessary, and because the people closest to students are already thinking deeply about how to do it well.
The challenge now is to honor that thinking with structures, support, and continued dialogue. The opportunity is to ensure that as AI becomes more present in our world, our schools become even more human.