Home › Workload, Efficiency & Wellbeing
AI implementation produced substantial, measurable time savings and clear wellbeing benefits — while surfacing an honest and important caveat about how those savings were used.
Substantial, measurable time savings
The comparative survey data revealed dramatic gains. Average weekly planning time fell by 52.5% — from 10 hours in the baseline survey (November 2024) to 4.75 hours at follow-up (February 2025) — a saving of about 5.25 hours per teacher per week. Median planning time dropped from 7 to 4 hours, and maximum time from 24 to 10. Perceptions shifted just as sharply: where no staff had rated their methods as efficient at baseline (split evenly between "neutral" and "inefficient"), afterwards 38% rated them "very efficient" and 50% "efficient", with none inefficient. Teachers also consolidated their toolkits, reducing planning methods from an average of 6.5 to 3.63 — using fewer tools, yet working far more efficiently.
"The lesson plan [the AI planner] produces helps reduce the time taken to create the resources as the outline is there and just needs fleshing out."
Teacher reflection, Woodland Academy TrustReal wellbeing benefits
The time savings translated into a striking wellbeing improvement. The share of staff reporting that lesson planning had a "high impact" on their overall workload fell from 75% to 0%, with 75% now reporting only a "low impact". Feelings of being overwhelmed followed the same trajectory: where 75% of staff had felt overwhelmed by planning time "always" or "often", that figure dropped to 0%, with 75% now "rarely" or "never" feeling overwhelmed. Confidence rose in parallel — 88% rated themselves confident in their planning skills (up from 50%), and 100% felt their methods consistently met class needs (up from 37.5%). Time savings, in other words, did not come at the expense of quality.
The crucial nuance: saved time was often redirected
The report is careful not to overclaim. Staff repeatedly noted that time saved on planning was frequently reallocated rather than reducing their total hours. One summary acknowledged that "a lot of time was saved through using AI," but "this time was then simply directed elsewhere." Another reported that although AI "strengthened efficiency," in practice "the time saved is often being reallocated to other tasks." The review names this the "workload impact paradox" — real efficiency gains that can mask work intensification, as freed capacity is absorbed by other educational demands rather than lowering overall pressure.
"Although a lot of time was saved through using AI, I felt that this time was then simply directed elsewhere so did not necessarily impact on reducing workload."
Teacher summary, Woodland Academy TrustBeyond lesson planning, AI streamlined a wide range of administrative and operational tasks — refining report writing, generating SMART targets, drafting professional parent letters, and supporting data-informed decisions through real-time AI assessment tools. The net effect was a transformation of planning "from a time-intensive, often overwhelming task into a more efficient and manageable process" — with the important proviso that the wellbeing payoff depends on how the freed time is managed.
Key points
- Planning time fell 52.5% — from 10 to 4.75 hours per week (about 5.25 hours saved).
- Staff rating planning efficient/very efficient rose from 0% to 88%.
- High workload impact fell from 75% to 0%; feeling overwhelmed fell from 75% to 0%.
- Confidence rose to 88%; 100% felt methods consistently meet class needs.
- Nuance: saved time was frequently reabsorbed into other tasks, not reduced total workload.
Why this matters for leaders
This is the section every trust and school leader should read twice. The efficiency and wellbeing gains are genuine and large — but the "workload impact paradox" is the finding that separates a serious implementation from a superficial one. If saved hours are quietly absorbed by new duties, teachers experience less overwhelm from planning yet no reduction in total load, and the promised wellbeing dividend evaporates. The leadership implication is explicit in the report: efficiency gains must be actively protected. That means monitoring how freed time is used, resisting the reflex to fill it, and treating recovered capacity as a wellbeing outcome to safeguard — not simply as headroom for more work.