MIT Tech Review: Agriculture Is Ready for AI, but Its Data Isn't

MIT Technology Review·medium signal

MIT Technology Review warns that agriculture's AI use cases are promising but data readiness is the binding constraint, cautioning leaders against investing in AI before laying data groundwork. The 'data first, models second' thesis generalizes to most non-tech verticals chasing AI. It's a grounded reminder for builders selling AI into industries with messy, unstandardized datasets.