Cutting Teacher Workload With AI: Where to Start
Written by David Elliott · · 5 min read
Planning, marking and admin absorb hours every week. Here are the practical, low-risk places UK primary schools are using AI to win that time back.
Workload is the single biggest reason teachers leave the profession. AI will not fix that on its own, but used carefully it removes a meaningful slice of the repetitive work that surrounds teaching rather than the teaching itself.
Start with low-risk, high-volume tasks
The best first use cases involve no pupil data and no final decisions: drafting knowledge organisers, generating differentiated question banks, rewriting a text at three reading levels, or turning a lesson plan into a parent-friendly summary. Staff keep full editorial control, and mistakes are caught before anything reaches a classroom.
Agree the ground rules before the tools
Every school we work with sets a short, plain-English AI use policy first: which tools are approved, what may never be entered into them, and who to ask when staff are unsure. It takes an afternoon and prevents almost every problem we see later.
Measure the time you get back
Pick two tasks, record how long they take now, then review after half a term. Concrete numbers make the case to governors far better than enthusiasm does, and they tell you which workflows deserve wider rollout.