Research and Intelligence
What funders are saying. What it means.
Reports, briefings and notes from the conversations we have with the people deciding where philanthropic capital lands.
What changes, what doesn’t: an AI-era conversation about adoption
Ninety-two percent of nonprofits use AI. Seven percent see real impact. A conversation with Jay Love about what actually drives adoption, and the rules that have not changed.
What you need in place before strategy season
Most leadership teams start strategy season either stretched from Q2 reporting or too newly arrived to know what funders actually think. By September, the strategy is already built on assumptions you cannot see.
The perception gap that costs fundraisers
Most funding barriers are perception problems, not performance problems. What 322 confidential interviews and the commercial sectors that solved this decades ago tell us about why your strategy is probably built on the wrong information and what to do about it before strategy season.
The rise (and rise) of philanthropic re-granters
Localisation is the language. Re-granters are the reality. The grants are increasingly going to the same organisations the original funders backed years ago, just through a longer chain.
What AI still can't do (and probably won't)
AI is genuinely reshaping the back end of fundraising. The five things it cannot reach are exactly the ones that determine whether the money moves.