After the Reaction Phase: AI Governance in Education

AI, Education, and the Return to Professional Judgment

There is a particular moment that arrives after every major technological shift.

Not the moment of excitement.
Not the moment of fear.
But the quieter moment after both have burned through their energy.

That is where we are now with AI.

The tools are here. They are powerful. They are improving fast. Most tertiary organisations are already using them in some form — often unevenly, often quietly, sometimes without a shared language for what is happening. What’s missing is not adoption. It’s coherence.

The real question for education in 2026 is not whether AI should be used, but how judgment, standards, and professional authority are preserved — and strengthened — in its presence.

For much of last year, the conversation was reactive. Detection tools. Policy drafts. Anxiety about assessment integrity. Hopes of productivity gains. Fears of deskilling. All understandable. All incomplete.

Because technology doesn’t lower standards by default.
It exposes whether our standards were well-formed to begin with.

What AI is doing — quietly and relentlessly — is surfacing long-standing questions about teaching practice, assessment design, literacy, and trust. It is forcing institutions to look at what they actually value, not just what they measure.

In that sense, AI is not the disruption.
It is the mirror.

The work ahead is therefore not primarily technical. It is pedagogical and governance-based. It’s about building shared judgment, not just shared rules. It’s about developing confidence and literacy among educators, tutors, managers, and leaders — so decisions are made deliberately rather than defensively.

Before policy comes practice.
Before scale comes coherence.
Before tools come standards that are worth protecting.

In 2026, the institutions that do well will not be those that adopt the most AI, or ban it most aggressively. They will be the ones that invest in professional capability: helping their people understand when to use AI, how to use it well, and where human judgment remains essential.

This is not about being pro-AI or anti-AI.
It is about being pro-education.

The task now is to move beyond reaction and into governance — not governance as control, but governance as cultivated authority. That work is slower. It is quieter. And it is far more durable.

That is the work I’m focused on this year.

— Graeme