Field survey says AI epistemics tools are easy to build, hard to deploy
Based on roughly 65 interviews, the report locates the field's bottleneck in deployment rather than prototyping, a useful signal for public funders.
A field survey published on October 2 concludes that the bottleneck for AI epistemics and coordination tools is not building prototypes but getting institutions to actually use them.
The report, "State of the Field: AI for Epistemics and Coordination" by Ben_N and AlexCsaky on LessWrong, draws on about 65 in-depth interviews. The authors say the most consistent theme was that building a prototype is often far easier than getting it used, with projects stalling on pilot partners, trust and procurement.
The report also lists encouraging signs: forecasting company Mantic raised a $25m seed round in September 2026, which the report says followed outperforming all human participants in the 2026 Metaculus Cup. These examples are relayed by the authors, who acknowledge they do not decisively prove the field's broader theories of change.