A reflection on three AI4Life Open Calls and three Public Challenges (2023–2025) — 22 supported bioimage analysis projects from 151 applications and 225 challenge participants — mapping the gaps between method developers, tool producers and users, and concluding that for scientific AI in biology the rate-limiting step is not models but data, annotations, and shared infrastructure.