Recently, we came across an article describing a private school charging $65,000 per year, where students reportedly learn primarily through AI in just two hours a day. The premise was bold, efficient, and provocative. On the surface, it sounded like innovation.

But inside our school, it sparked something far more important than agreement or disagreement. It sparked conversation.

At digiTIES, this article prompted a deep staff discussion about what learning actually requires, what AI can realistically support, and what risks emerge when speed and automation are prioritized over development.

Teachers Are Not Optional

One point our staff returned to repeatedly was this: students learn from teachers.

AI cannot replace modeling, questioning, emotional awareness, or moral guidance. Students need teachers to slow them down, challenge assumptions, and help them think deeply. They need human feedback, human accountability, and human care.

In fact, as AI tools become more powerful, the role of the teacher becomes more critical, not less. Without strong teaching, AI risks becoming a shortcut that weakens thinking rather than strengthening it.

Misinformation, Worldview, and Responsibility

Another major concern was misinformation and worldview alignment. AI systems can surface content that is inaccurate, misleading, or fundamentally misaligned with our values. Without guidance, students may accept polished outputs as truth.

Our teachers raised important questions. How do we teach students to identify AI hallucinations? How do we help them distinguish between credible sources and generated content? How do we ensure students understand history, religion, and ethics accurately rather than absorbing whatever an algorithm presents?

These questions cannot be answered by technology alone. They require supervision, dialogue, and intentional instruction.

A Measured, Human-Centered Path Forward

As a team, we agreed that moving quickly with technology is not always wise. Instead of extreme shifts, we believe in a measured, supervised approach.

This means starting with conceptual learning and foundational skills. It means teaching students how to use AI, not relying on AI to teach students. It means modeling how to question, verify, cross-check, and reflect. It also means recognizing that not all students are developmentally ready to self-regulate without close guidance.

AI can support learning. Tools like skill reinforcement platforms can help practice and review. But they cannot replace the depth, culture, and mentorship that education requires.

Students Need a Voice

Another important insight from our discussion was the role of student leadership. Rather than positioning students only as rule-followers, we want to invite them into the conversation.

How can students practice evaluating AI outputs? How can they explain why something is credible or flawed? How can they take ownership of ethical decision making?

These are leadership skills. And they must be practiced, not assumed.

Choosing Intention Over Hype

The article we read made one thing clear. AI in education is moving fast, and bold claims will continue to surface. But speed is not the same as wisdom.

What we are building at digiTIES is not a system driven by headlines or price tags. It is a learning environment grounded in human development, values, supervision, and care.

AI will continue to evolve. Our responsibility is to ensure that students do not lose the ability to think, reason, question, and lead as humans.

That work cannot be compressed into two hours a day.

It requires time, teachers, and intention.