The AI adoption story in the nonprofit and education sectors is nothing like the tech-industry one: budgets are tiny, risk tolerance is low, safeguarding is paramount, and the gap between staff already using ChatGPT personally and organisations with any actual policy is enormous. I watch this from both sides – building AI products used in hundreds of schools, and advising charity leaders on what to actually do – and regularly brief nonprofit working groups on the state of play.
What's worth knowing: teacher AI adoption is far ahead of school policy; the DfE has a framework worth reading even outside education because it's had to be ahead of the curve in official responses; charity adoption is high at the individual level and thin at the organisational level; and the biggest practical wins are boring – drafting, admin, resource adaptation – not moonshots. The interesting design question is building AI tools for sectors where trust must be earned structurally: what data you touch, what you never touch, and what stays human.
Reading/links
- DfE: Generative AI in education – the official UK position
- Charity Digital Skills Report – the best annual data on charity-sector adoption
- Chalk – our teacher tool; a live case study in earning trust in schools